curlednoodles
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If we lose Qualcomm as a customer then its very much OUR loss..
BRN Discussion Ongoing
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Jury's still out on BRN being connected through ARM + Arteris + Antonio relationship.
CAMPBELL, Calif. and SANTA CLARA, Calif. – February 27, 2023 – Arteris, Inc. (Nasdaq: AIP), a leading provider of system IP which accelerates system-on-chip (SoC) creation, and SiFive, Inc., the founder and leader of RISC-V computing, today announced their partnership to help speed up Edge AI electronic product innovation for consumer electronics and industrial applications.
The combination of the SiFive Intelligence™ processor IP and Arteris Ncore interconnect IP accelerates the path for customers to realize Edge AI SoCs. SiFive Intelligence X280, a multi-core capable RISC-V processor, provides a unique blend of performance, power efficiency, and an intuitive programming model, and enables various data-driven applications, including AI inference, image processing, data center acceleration and other use cases. Arteris Ncore cache coherent interconnect IP is a configurable and scalable network-on-chip (NoC) interconnect for heterogeneous cache coherent systems-on-chip (SoCs). The coupled solution delivers interoperability to speed up the development of Edge AI SoCs with high performance and power efficiency while reducing project schedules, integration complexity and costs.
As a result of their interoperability and integration collaboration, SiFive has developed the SiFive 22G1 X280 Customer Reference Platform, incorporating a SiFive X280 processor IP and an Arteris Ncore cache coherent interconnect IP, which is available to run on the AMD Virtex™ UltraScale+™ FPGA VCU118 Evaluation Kit.
“As companies push the performance of application-specific SoCs that not only include a growing number of processors, but also tremendously complex network-on-chip requirements, our collaboration with Arteris enables us to deliver optimized RISC-V solutions that meet and beat our customers’ compute goals,” said Phil Dworsky, global head of strategic alliances at SiFive. “There is a growing class of complex SoCs that require a combination of best-in-class processor IP with both non-coherent and coherent NoCs, and we look to extend our technical collaboration going forward to accelerate the development of intelligent edge devices.”
In addition to the SiFive X280 processor and the Arteris Ncore interconnect, the SiFive 22G1 X280 Customer Reference Platform integrates an interesting mix of peripherals to facilitate software development on a RISC-V Vector-enabled platform. SiFive also provides the Freedom SDK for Linux for software development with SiFive IP.
“Our goal is to follow the processor IP choices of our customers and be the leading system IP provider of the emerging RISC-V ecosystem,” said Frank Schirrmeister, vice president of solutions and business development at Arteris. “Our collaboration with SiFive supports our mission to be a catalyst for SoC innovation so our mutual customers can focus on dreaming up what comes next, creating innovative consumer electronics and industrial edge AI/ML products.”
For more information regarding the 22G1 X280 Customer Reference Platform, please contact SiFive at sales@sifive.com.
About Arteris
Arteris is a leading provider of system IP for the acceleration of system-on-chip (SoC) development across today’s electronic systems. Arteris network-on-chip (NoC) interconnect IP and IP deployment technology enable higher product performance with lower power consumption and faster time to market, delivering better SoC economics so its customers can focus on dreaming up what comes next. Learn more at Arteris.com.
About SiFive
As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms have enabled leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits. For more information, please visit SiFive.com.
www.design-reuse.com
Arteris and SiFive Partner to Accelerate RISC-V SoC Design of Edge AI Applications
The collaboration will provide a greater choice of integrated and optimized solutions with leading SiFive RISC-V processor IP and Arteris system IPCAMPBELL, Calif. and SANTA CLARA, Calif. – February 27, 2023 – Arteris, Inc. (Nasdaq: AIP), a leading provider of system IP which accelerates system-on-chip (SoC) creation, and SiFive, Inc., the founder and leader of RISC-V computing, today announced their partnership to help speed up Edge AI electronic product innovation for consumer electronics and industrial applications.
The combination of the SiFive Intelligence™ processor IP and Arteris Ncore interconnect IP accelerates the path for customers to realize Edge AI SoCs. SiFive Intelligence X280, a multi-core capable RISC-V processor, provides a unique blend of performance, power efficiency, and an intuitive programming model, and enables various data-driven applications, including AI inference, image processing, data center acceleration and other use cases. Arteris Ncore cache coherent interconnect IP is a configurable and scalable network-on-chip (NoC) interconnect for heterogeneous cache coherent systems-on-chip (SoCs). The coupled solution delivers interoperability to speed up the development of Edge AI SoCs with high performance and power efficiency while reducing project schedules, integration complexity and costs.
As a result of their interoperability and integration collaboration, SiFive has developed the SiFive 22G1 X280 Customer Reference Platform, incorporating a SiFive X280 processor IP and an Arteris Ncore cache coherent interconnect IP, which is available to run on the AMD Virtex™ UltraScale+™ FPGA VCU118 Evaluation Kit.
“As companies push the performance of application-specific SoCs that not only include a growing number of processors, but also tremendously complex network-on-chip requirements, our collaboration with Arteris enables us to deliver optimized RISC-V solutions that meet and beat our customers’ compute goals,” said Phil Dworsky, global head of strategic alliances at SiFive. “There is a growing class of complex SoCs that require a combination of best-in-class processor IP with both non-coherent and coherent NoCs, and we look to extend our technical collaboration going forward to accelerate the development of intelligent edge devices.”
In addition to the SiFive X280 processor and the Arteris Ncore interconnect, the SiFive 22G1 X280 Customer Reference Platform integrates an interesting mix of peripherals to facilitate software development on a RISC-V Vector-enabled platform. SiFive also provides the Freedom SDK for Linux for software development with SiFive IP.
“Our goal is to follow the processor IP choices of our customers and be the leading system IP provider of the emerging RISC-V ecosystem,” said Frank Schirrmeister, vice president of solutions and business development at Arteris. “Our collaboration with SiFive supports our mission to be a catalyst for SoC innovation so our mutual customers can focus on dreaming up what comes next, creating innovative consumer electronics and industrial edge AI/ML products.”
For more information regarding the 22G1 X280 Customer Reference Platform, please contact SiFive at sales@sifive.com.
About Arteris
Arteris is a leading provider of system IP for the acceleration of system-on-chip (SoC) development across today’s electronic systems. Arteris network-on-chip (NoC) interconnect IP and IP deployment technology enable higher product performance with lower power consumption and faster time to market, delivering better SoC economics so its customers can focus on dreaming up what comes next. Learn more at Arteris.com.
About SiFive
As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms have enabled leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits. For more information, please visit SiFive.com.
Arteris and SiFive Partner to Accelerate RISC-V SoC Design of Edge AI Applications
The combination of the SiFive Intelligence™ processor IP and Arteris Ncore interconnect IP accelerates the path for customers to realize Edge AI SoCs.
Last edited:
Dozzaman1977
Regular
You can send me evidence that qualcomm is a customer of BRN.
How better to show Akida and SiFive RISC-V are compatible in a SoC?Jury's still out on BRN being connected through ARM + Arteris + Antonio relationship.
Arteris and SiFive Partner to Accelerate RISC-V SoC Design of Edge AI Applications
The collaboration will provide a greater choice of integrated and optimized solutions with leading SiFive RISC-V processor IP and Arteris system IP
CAMPBELL, Calif. and SANTA CLARA, Calif. – February 27, 2023 – Arteris, Inc. (Nasdaq: AIP), a leading provider of system IP which accelerates system-on-chip (SoC) creation, and SiFive, Inc., the founder and leader of RISC-V computing, today announced their partnership to help speed up Edge AI electronic product innovation for consumer electronics and industrial applications.
The combination of the SiFive Intelligence™ processor IP and Arteris Ncore interconnect IP accelerates the path for customers to realize Edge AI SoCs. SiFive Intelligence X280, a multi-core capable RISC-V processor, provides a unique blend of performance, power efficiency, and an intuitive programming model, and enables various data-driven applications, including AI inference, image processing, data center acceleration and other use cases. Arteris Ncore cache coherent interconnect IP is a configurable and scalable network-on-chip (NoC) interconnect for heterogeneous cache coherent systems-on-chip (SoCs). The coupled solution delivers interoperability to speed up the development of Edge AI SoCs with high performance and power efficiency while reducing project schedules, integration complexity and costs.
As a result of their interoperability and integration collaboration, SiFive has developed the SiFive 22G1 X280 Customer Reference Platform, incorporating a SiFive X280 processor IP and an Arteris Ncore cache coherent interconnect IP, which is available to run on the AMD Virtex™ UltraScale+™ FPGA VCU118 Evaluation Kit.
“As companies push the performance of application-specific SoCs that not only include a growing number of processors, but also tremendously complex network-on-chip requirements, our collaboration with Arteris enables us to deliver optimized RISC-V solutions that meet and beat our customers’ compute goals,” said Phil Dworsky, global head of strategic alliances at SiFive. “There is a growing class of complex SoCs that require a combination of best-in-class processor IP with both non-coherent and coherent NoCs, and we look to extend our technical collaboration going forward to accelerate the development of intelligent edge devices.”
In addition to the SiFive X280 processor and the Arteris Ncore interconnect, the SiFive 22G1 X280 Customer Reference Platform integrates an interesting mix of peripherals to facilitate software development on a RISC-V Vector-enabled platform. SiFive also provides the Freedom SDK for Linux for software development with SiFive IP.
“Our goal is to follow the processor IP choices of our customers and be the leading system IP provider of the emerging RISC-V ecosystem,” said Frank Schirrmeister, vice president of solutions and business development at Arteris. “Our collaboration with SiFive supports our mission to be a catalyst for SoC innovation so our mutual customers can focus on dreaming up what comes next, creating innovative consumer electronics and industrial edge AI/ML products.”
For more information regarding the 22G1 X280 Customer Reference Platform, please contact SiFive at sales@sifive.com.
About Arteris
Arteris is a leading provider of system IP for the acceleration of system-on-chip (SoC) development across today’s electronic systems. Arteris network-on-chip (NoC) interconnect IP and IP deployment technology enable higher product performance with lower power consumption and faster time to market, delivering better SoC economics so its customers can focus on dreaming up what comes next. Learn more at Arteris.com.
About SiFive
As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms have enabled leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits. For more information, please visit SiFive.com.
Arteris and SiFive Partner to Accelerate RISC-V SoC Design of Edge AI Applications
The combination of the SiFive Intelligence™ processor IP and Arteris Ncore interconnect IP accelerates the path for customers to realize Edge AI SoCs.
Arteris is a leading provider of system IP for the acceleration of system-on-chip (SoC) development ...
https://brainchip.com/sifive-and-br...g alongside SiFive’s RISC–V host processor IP.
SiFive and BrainChip Partner to Demo IP Compatibility
By Sally Ward-FoxtonApril 20, 2022
SiFive and BrainChip have partnered to show their IP is compatible in SoC designs for embedded artificial intelligence (AI). The companies have demonstrated BrainChip’s neuromorphic processing unit (NPU) IP working alongside SiFive’s RISC–V host processor IP.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Stable Genius
Regular
I posted this before and I know it’s been discounted by yourself already and comparing your knowledge in these matters to me has me still at the fetus stage of knowledge; but I have all my fingers and toes crossed this is us!
BRN Discussion Ongoing
Hey GUYS Basically AKIDA is the Bomb, and Mercedes has just put us on the same level as Intel (well maybe it was alphabetical but they put us first lol ;) ) and Prophasee is linked to snapdragon Gen8 v2 or v3 which we are 99.999999999999999999% sure is AKIDA. So all your Samsung's phones plus a...
thestockexchange.com.au
I was hopeful that in the picture the AI processor is separate to the Hexagon processor because it was new and unique however I had been down this path with you weeks ago and don’t believe we are in the next Qualcomm phone but I would be very happy to be wrong!
Bravo
If ARM was an arm, BRN would be its biceps💪!
An oldie but a reminder of Arm + Arteris relationship
SEPTEMBER 12, 2022
BY MAJEED AHMAD
COMMENTS 0
Advertisement
The system-on-chips (SoCs) catering to autonomous driving, advanced driver assistance systems (ADAS), cockpit and infotainment, vision, radar and lidar, body and chassis control, and other automotive subsystems mandate high performance and power efficiency for complex and demanding safety-critical tasks with differing workloads.
So, at a time when smart compute is quickly making its way to automotive, Arm and Arteris IP have decided to expand their existing automotive partnership to speed up SoC design innovation with a robust alignment of IPs and automation toolset integration. While Arm and Arteris have been long-term partners, the question is, what’s the strategic importance of this tie-up between two IP suppliers? “It’s all about how we are pre-integrating and validating SoC IPs and automation tools,” said Michal Siwinski, chief marketing officer at Arteris IP.
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Ian Smythe, VP of product marketing at Arm, acknowledged that the automotive industry is at a critical inflection point with demand for autonomy, more capable ADAS, richer driver experiences, and electrification driving the need for more capable SoCs and microcontroller units (MCUs). “The collaboration between Arm and Arteris IP will facilitate integrated and optimized automotive solutions to enable faster time to market.”
Advertisement
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Source: Arteris IP
The expanded relationship means that automotive designers working around Arm’s Cortex-A, Cortex-R, Cortex-M, and Mali processors as well as Arteris’ FlexNoC and Ncore interconnect IPs and Magillem IP deployment software will have highly optimized design flows. “In the past, you could buy all the design blocks and try to figure out how to integrate them,” said Frank Schirrmeister, VP of Solutions & Business Development. “This partnership provides the ability to optimize the IP integration from the get-go, resulting in better SoC design productivity.”
An average car now has at least 20 advanced SoCs, Siwinski noted. “Here you have a huge continuum of different types of automotive SoC configurations.” So, a choice of pre-integrated and pre-optimized IPs for high-performance compute and system-on-chip connectivity will make life easier for SoC designers working at semiconductor companies, Tier 1 suppliers, automotive OEMs, and ride-sharing companies.
Arm and Arteris join hands to align automotive IP integration
SEPTEMBER 12, 2022
BY MAJEED AHMAD
COMMENTS 0
Advertisement
The system-on-chips (SoCs) catering to autonomous driving, advanced driver assistance systems (ADAS), cockpit and infotainment, vision, radar and lidar, body and chassis control, and other automotive subsystems mandate high performance and power efficiency for complex and demanding safety-critical tasks with differing workloads.
So, at a time when smart compute is quickly making its way to automotive, Arm and Arteris IP have decided to expand their existing automotive partnership to speed up SoC design innovation with a robust alignment of IPs and automation toolset integration. While Arm and Arteris have been long-term partners, the question is, what’s the strategic importance of this tie-up between two IP suppliers? “It’s all about how we are pre-integrating and validating SoC IPs and automation tools,” said Michal Siwinski, chief marketing officer at Arteris IP.
ADVERTISING
Ian Smythe, VP of product marketing at Arm, acknowledged that the automotive industry is at a critical inflection point with demand for autonomy, more capable ADAS, richer driver experiences, and electrification driving the need for more capable SoCs and microcontroller units (MCUs). “The collaboration between Arm and Arteris IP will facilitate integrated and optimized automotive solutions to enable faster time to market.”
Advertisement
Advertisement
Source: Arteris IP
The expanded relationship means that automotive designers working around Arm’s Cortex-A, Cortex-R, Cortex-M, and Mali processors as well as Arteris’ FlexNoC and Ncore interconnect IPs and Magillem IP deployment software will have highly optimized design flows. “In the past, you could buy all the design blocks and try to figure out how to integrate them,” said Frank Schirrmeister, VP of Solutions & Business Development. “This partnership provides the ability to optimize the IP integration from the get-go, resulting in better SoC design productivity.”
An average car now has at least 20 advanced SoCs, Siwinski noted. “Here you have a huge continuum of different types of automotive SoC configurations.” So, a choice of pre-integrated and pre-optimized IPs for high-performance compute and system-on-chip connectivity will make life easier for SoC designers working at semiconductor companies, Tier 1 suppliers, automotive OEMs, and ride-sharing companies.
Learning
Learning to the Top 🕵♂️
Bravo
If ARM was an arm, BRN would be its biceps💪!
Qualcomm's CEO admits that their next-gen chips designed to to compete with Apple for the Microsoft Ecosystem will come to market in 2024
Qualcomm announced the branding of the next-generation of processors that derived from their acquisition of NUVIA back in November 2022 as "Oryon." The expectation of the arrival of the new chips continuatly slides.
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ARTIFICIAL INTELLIGENCE INVESTING
Melissa Pistilli
Feb. 27, 2023 01:30PM PST
ARTIFICIAL INTELLIGENCE INVESTING
Alexander Supertramp / Shutterstock
What are the biggest AI stocks? Learn about the largest AI companies by market cap on US, Canadian and Australian exchanges.
Artificial intelligence (AI) may be an emerging technology, but there are plenty of billion-dollar companies in this space.
As the market has grown over the past few years, AI technology has made strong inroads into several key industries, including logistics, manufacturing, finance, healthcare, customer service and cybersecurity.
While AI-driven advancements in robotics have received the most press in recent years, the latest buzz has centered around OpenAI’s ChatGPT. This intelligent chatbot shows how quickly generative AI is advancing, and has attracted the attention of heavyweight technology companies such as Microsoft (NASDAQ:MSFT), which recently invested US$10 billion in privately held OpenAI. Alphabet (NASDAQ:GOOGL) has answered back with its own AI chat tool, Google Bard.
On a global scale, Markets and Markets predicts that the AI industry will experience a compound annual growth rate of 36.2 percent between 2022 and 2027 to reach a market value of more than US$407 billion.
Here the Investing News Network profiles some of the biggest AI stocks by market cap on US, Canadian and Australian stock exchanges. Data was gathered on February 13, 2023, using TradingView’s stock screener.
One of the major factors fueling growth in the American AI market, states GMI Research analysts, is “rising investment in Artificial Intelligence by the government and prominent technocrats in the country.”
Below are three of the top US AI stocks.
Market cap: US$145.88 billion; share price: US$130.84
San Diego-based Qualcomm designs and manufactures semiconductors, software and wireless telecommunications products. The multinational corporation’s product catalog includes processors, modems, RF systems, 5G, 4G and optimized software.
After a decade of AI research and development, Qualcomm's goal is to make AI ubiquitous in everyday life by “inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G." The company has developed several AI-based products, including the Qualcomm Snapdragon 765G mobile gaming platform, which combines 5G and AI technologies.
Market cap: US$53.99 billion; share price: US$164.34
Cloud-based data warehousing company Snowflake offers customers data storage, processing and analytics capabilities through its data-as-a-service platform. The highly scalable Snowflake Data Cloud platform supports multi-cloud infrastructure environments, allowing companies to bring data from other platforms together in one space. The platform was also designed to support enterprise AI projects that leverage big data and machine learning (ML).
Snowflake has made several acquisitions in the past few years, including picking up AI companies with complimentary technologies. In early 2023, the company announced its intention to acquire Myst AI, an AI-based time series forecasting platform provider. Time series forecasting is used in several fields, including supply chain management and inventory planning. Myst AI’s technology is capable of predicting spikes in energy demand and renewable generating capacity, as well as prices, in an effort to cut energy costs.
Market cap: US$40.84 billion; share price: US$214.48
L3Harris Technologies is an IT services provider and aerospace and defense contractor. The company designs, develops and manufactures radio communications products and systems for use across all domains, including air, land, sea, space and cyberspace.
In 2020, the company agreed to help the US Department of Defense (DoD) develop AI and ML systems intended to “reduce the amount of time it takes to decipher usable intelligence from increasing amounts of data collected from space and airborne assets.” The multimillion-dollar contract is in line with the initiative to accelerate the DoD's integration of big data, AI and ML.
More recently, L3Harris was selected by the DoD to deliver AI services geared toward improving intelligence gathering and collaboration between defense and intelligence agencies. “Massive volumes of data must be turned into actionable intelligence every day,” said Ed Zoiss, president of space and airborne systems with L3Harris. “We will help to empower DOD users with ‘point and click’ capabilities to generate synthetic data and create custom workflows that can be used with automated updates.”
Below are three of the top Canadian AI stocks.
Market cap: C$12.75 billion; share price: C$47.25
Ontario-based OpenText is one of Canada’s largest software companies. The tech firm develops and sells enterprise information management software. Its portfolio includes hundreds of products focused in the areas of enterprise content management, digital process automation, security and AI and analytics tools. OpenText serves small businesses, large enterprises and governments alike.
OpenText AI & Analytics has an open architecture that enables integration with other AI services, including Google Cloud and Azure. It can leverage all types of data, from structured to unstructured, big data or internet of things (IoT), to quickly create interactive visuals.
2. Descartes Systems Group (TSX
Company Profile
Market cap: C$8.39 billion; share price: C$99.46
Descartes Systems Group provides on-demand software-as-a-service (SaaS) solutions. The multinational technology company specializes in logistics software, supply chain management software and cloud-based services for logistics businesses.
AI and ML enhancements to Descartes’ routing, mobile and telematics suite are helping the company’s customers optimize fleet performance. “AI and ML are perfect extensions to our advanced route optimization and execution capabilities,” said Ken Wood, executive vice president at Descartes. “From dynamic delivery appointment scheduling through planning and real-time route execution, we’ve used AI and ML to improve our ability to deliver the next level of fleet performance for customers.”
Market cap: C$4.49 billion; share price: C$162.44
Kinaxis is a supply chain planning software company that has developed a cloud-based SaaS platform known as RapidResponse. The subscription software is used by supply chain operations for multiple industries, including the electronics, aerospace and defense, pharmaceutical, automotive and retail markets on a global scale.
In May 2022, Kinaxis unveiled its new Planning.AI analytical approach as part of its RapidResponse platform. This enhancement allows for quicker, more accurate responses to market disruptions.
"Supply chain planners and leaders are often in the tricky situation of having to choose between making an accurate decision or making a fast one," Kinaxis CEO John Sicard said. "Planning.AI eliminates that struggle by empowering people to make fast and accurate decisions through the use of multiple advanced analytical approaches. This latest breakthrough builds on our revolutionary concurrent planning technique, driving a true step change in supply chain agility and resiliency."
Below are three of the top Australian AI stocks.
Market cap: AU$11.7 billion; share price: AU$78.03
New Zealand-based technology company Xero provides cloud-based accounting software for small and medium-sized businesses. The company’s product portfolio also includes the Xero Accounting app, Xero HQ, Xero Ledger, Xero Workpapers and Xero tax tools.
Xero has made a number of AI enhancements to its platform in recent years, including bank reconciliation predictions that save time and reduce errors, and Analytics Plus, a suite of AI-powered planning and forecasting tools.
Market cap: AU$4.65 billion; share price: AU$14.41
TechnologyOne is another large enterprise technology software firm in Australia. In fact, it is the country’s largest enterprise-resource-planning SaaS company. TechnologyOne has a client base of over 1,200, including customers in the government, education, health and financial services sectors across Australia, New Zealand and the UK. The company’s research and development center is targeting cloud-based technology, AI and ML.
Market cap: AU$1.09 billion; share price: AU$0.62
Global technology company BrainChip Holdings has developed and commercialized a type of edge AI that simulates the functionality of the human neuron. The company's neuromorphic processor, Akida, enables the deployment of edge computing across several applications, including connected cars, consumer electronics and industrial IoT.
In August 2022, the company launched the BrainChip University AI Accelerator Program. "By partnering with BrainChip's AI Accelerator Program, universities are able to ensure that students have the tools and resources needed to encourage development of cutting-edge technologies that will continue to usher in an era of essential AI solutions," BrainChip CEO Sean Hehir stated.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
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AI Stocks: 9 Biggest AI Companies in 2023
Melissa Pistilli
Feb. 27, 2023 01:30PM PST
ARTIFICIAL INTELLIGENCE INVESTING
Alexander Supertramp / Shutterstock
What are the biggest AI stocks? Learn about the largest AI companies by market cap on US, Canadian and Australian exchanges.
Artificial intelligence (AI) may be an emerging technology, but there are plenty of billion-dollar companies in this space.
As the market has grown over the past few years, AI technology has made strong inroads into several key industries, including logistics, manufacturing, finance, healthcare, customer service and cybersecurity.
While AI-driven advancements in robotics have received the most press in recent years, the latest buzz has centered around OpenAI’s ChatGPT. This intelligent chatbot shows how quickly generative AI is advancing, and has attracted the attention of heavyweight technology companies such as Microsoft (NASDAQ:MSFT), which recently invested US$10 billion in privately held OpenAI. Alphabet (NASDAQ:GOOGL) has answered back with its own AI chat tool, Google Bard.
On a global scale, Markets and Markets predicts that the AI industry will experience a compound annual growth rate of 36.2 percent between 2022 and 2027 to reach a market value of more than US$407 billion.
Here the Investing News Network profiles some of the biggest AI stocks by market cap on US, Canadian and Australian stock exchanges. Data was gathered on February 13, 2023, using TradingView’s stock screener.
American AI stocks
According to Tracxn Technologies, the number of US AI companies has doubled since 2017.One of the major factors fueling growth in the American AI market, states GMI Research analysts, is “rising investment in Artificial Intelligence by the government and prominent technocrats in the country.”
Below are three of the top US AI stocks.
1. Qualcomm (NASDAQ:QCOM)
Company ProfileMarket cap: US$145.88 billion; share price: US$130.84
San Diego-based Qualcomm designs and manufactures semiconductors, software and wireless telecommunications products. The multinational corporation’s product catalog includes processors, modems, RF systems, 5G, 4G and optimized software.
After a decade of AI research and development, Qualcomm's goal is to make AI ubiquitous in everyday life by “inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G." The company has developed several AI-based products, including the Qualcomm Snapdragon 765G mobile gaming platform, which combines 5G and AI technologies.
2. Snowflake (NYSE:SNOW)
Company ProfileMarket cap: US$53.99 billion; share price: US$164.34
Cloud-based data warehousing company Snowflake offers customers data storage, processing and analytics capabilities through its data-as-a-service platform. The highly scalable Snowflake Data Cloud platform supports multi-cloud infrastructure environments, allowing companies to bring data from other platforms together in one space. The platform was also designed to support enterprise AI projects that leverage big data and machine learning (ML).
Snowflake has made several acquisitions in the past few years, including picking up AI companies with complimentary technologies. In early 2023, the company announced its intention to acquire Myst AI, an AI-based time series forecasting platform provider. Time series forecasting is used in several fields, including supply chain management and inventory planning. Myst AI’s technology is capable of predicting spikes in energy demand and renewable generating capacity, as well as prices, in an effort to cut energy costs.
3. L3Harris Technologies (NYSE:LHX)
Company ProfileMarket cap: US$40.84 billion; share price: US$214.48
L3Harris Technologies is an IT services provider and aerospace and defense contractor. The company designs, develops and manufactures radio communications products and systems for use across all domains, including air, land, sea, space and cyberspace.
In 2020, the company agreed to help the US Department of Defense (DoD) develop AI and ML systems intended to “reduce the amount of time it takes to decipher usable intelligence from increasing amounts of data collected from space and airborne assets.” The multimillion-dollar contract is in line with the initiative to accelerate the DoD's integration of big data, AI and ML.
More recently, L3Harris was selected by the DoD to deliver AI services geared toward improving intelligence gathering and collaboration between defense and intelligence agencies. “Massive volumes of data must be turned into actionable intelligence every day,” said Ed Zoiss, president of space and airborne systems with L3Harris. “We will help to empower DOD users with ‘point and click’ capabilities to generate synthetic data and create custom workflows that can be used with automated updates.”
Canadian AI stocks
Recognized as a world-leading AI research hub, Canada ranks fourth out of 54 countries in the Global AI Index. Since 2017, the Canadian government has invested hundreds of millions of dollars into accelerating the research and commercialization of AI technology in the country through the Pan-Canadian Artificial Intelligence Strategy.Below are three of the top Canadian AI stocks.
1. Open Text (TSX:OTEX)
Company ProfileMarket cap: C$12.75 billion; share price: C$47.25
Ontario-based OpenText is one of Canada’s largest software companies. The tech firm develops and sells enterprise information management software. Its portfolio includes hundreds of products focused in the areas of enterprise content management, digital process automation, security and AI and analytics tools. OpenText serves small businesses, large enterprises and governments alike.
OpenText AI & Analytics has an open architecture that enables integration with other AI services, including Google Cloud and Azure. It can leverage all types of data, from structured to unstructured, big data or internet of things (IoT), to quickly create interactive visuals.
2. Descartes Systems Group (TSX
SG)
Company ProfileMarket cap: C$8.39 billion; share price: C$99.46
Descartes Systems Group provides on-demand software-as-a-service (SaaS) solutions. The multinational technology company specializes in logistics software, supply chain management software and cloud-based services for logistics businesses.
AI and ML enhancements to Descartes’ routing, mobile and telematics suite are helping the company’s customers optimize fleet performance. “AI and ML are perfect extensions to our advanced route optimization and execution capabilities,” said Ken Wood, executive vice president at Descartes. “From dynamic delivery appointment scheduling through planning and real-time route execution, we’ve used AI and ML to improve our ability to deliver the next level of fleet performance for customers.”
3. Kinaxis (TSX:KXS)
Company ProfileMarket cap: C$4.49 billion; share price: C$162.44
Kinaxis is a supply chain planning software company that has developed a cloud-based SaaS platform known as RapidResponse. The subscription software is used by supply chain operations for multiple industries, including the electronics, aerospace and defense, pharmaceutical, automotive and retail markets on a global scale.
In May 2022, Kinaxis unveiled its new Planning.AI analytical approach as part of its RapidResponse platform. This enhancement allows for quicker, more accurate responses to market disruptions.
"Supply chain planners and leaders are often in the tricky situation of having to choose between making an accurate decision or making a fast one," Kinaxis CEO John Sicard said. "Planning.AI eliminates that struggle by empowering people to make fast and accurate decisions through the use of multiple advanced analytical approaches. This latest breakthrough builds on our revolutionary concurrent planning technique, driving a true step change in supply chain agility and resiliency."
Australian AI stocks
AI investment in Australia is expected to reach AU$3.6 billion in 2025, according to research firm IDC. The industries spending the most on AI are banking, the federal and central government, professional services and retail.Below are three of the top Australian AI stocks.
1. Xero (ASX:XRO)
Company ProfileMarket cap: AU$11.7 billion; share price: AU$78.03
New Zealand-based technology company Xero provides cloud-based accounting software for small and medium-sized businesses. The company’s product portfolio also includes the Xero Accounting app, Xero HQ, Xero Ledger, Xero Workpapers and Xero tax tools.
Xero has made a number of AI enhancements to its platform in recent years, including bank reconciliation predictions that save time and reduce errors, and Analytics Plus, a suite of AI-powered planning and forecasting tools.
2. TechnologyOne (ASX:TNE)
Company ProfileMarket cap: AU$4.65 billion; share price: AU$14.41
TechnologyOne is another large enterprise technology software firm in Australia. In fact, it is the country’s largest enterprise-resource-planning SaaS company. TechnologyOne has a client base of over 1,200, including customers in the government, education, health and financial services sectors across Australia, New Zealand and the UK. The company’s research and development center is targeting cloud-based technology, AI and ML.
3. Brainchip Holdings (ASX:BRN)
Company ProfileMarket cap: AU$1.09 billion; share price: AU$0.62
Global technology company BrainChip Holdings has developed and commercialized a type of edge AI that simulates the functionality of the human neuron. The company's neuromorphic processor, Akida, enables the deployment of edge computing across several applications, including connected cars, consumer electronics and industrial IoT.
In August 2022, the company launched the BrainChip University AI Accelerator Program. "By partnering with BrainChip's AI Accelerator Program, universities are able to ensure that students have the tools and resources needed to encourage development of cutting-edge technologies that will continue to usher in an era of essential AI solutions," BrainChip CEO Sean Hehir stated.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
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Hi SG,I posted this before and I know it’s been discounted by yourself already and comparing your knowledge in these matters to me has me still at the fetus stage of knowledge; but I have all my fingers and toes crossed this is us!
View attachment 30895
BRN Discussion Ongoing
Hey GUYS Basically AKIDA is the Bomb, and Mercedes has just put us on the same level as Intel (well maybe it was alphabetical but they put us first lol ;) ) and Prophasee is linked to snapdragon Gen8 v2 or v3 which we are 99.999999999999999999% sure is AKIDA. So all your Samsung's phones plus a...
I was hopeful that in the picture the AI processor is separate to the Hexagon processor because it was new and unique however I had been down this path with you weeks ago and don’t believe we are in the next Qualcomm phone but I would be very happy to be wrong!
The two AI Preprocessors are separate from the Hexagon,
Unfortunately, Qualcomm thinks NNs use MACs:
US2020073636A1 MULTIPLY-ACCUMULATE (MAC) OPERATIONS FOR CONVOLUTIONAL NEURAL NETWORKS
This Qualcomm patent application shows the "split" AI preprocessor configuration:
US2020250545A1 SPLIT NETWORK ACCELERATION ARCHITECTURE
Priorities US201962802150P·2019-02-06; US202016783047A·2020-02-05
Even comes with its own built in von Neumann bottleneck:
[0028] FIG. 1 illustrates an example implementation of a system-on-chip (SoC) 100 , which may include a central processing unit (CPU) 102 or multi-core CPUs, in accordance with certain aspects of the present disclosure, such as split network acceleration. Variables (e.g., neural signals and synaptic weights), system parameters associated with a computational device (e.g., neural network with weights), delays, frequency bin information, and task information may be stored in a memory block associated with a neural processing unit (NPU) 108 , in a memory block associated with a CPU 102 , in a memory block associated with a graphics processing unit (GPU) 104 , in a memory block associated with a digital signal processor (DSP) 106 , in a memory block 118 , or may be distributed across multiple blocks. Instructions executed at the CPU 102 may be loaded from a program memory associated with the CPU 102 or may be loaded from a memory block 118 .
[0041] FIG. 3 is a block diagram illustrating a neural network acceleration architecture 300 , in accordance with aspects of the present disclosure. The neural network acceleration architecture 300 includes a first AI inference accelerator (e.g., first AIIA 330 ), a second AI inference accelerator (e.g., second AIIA 340 ), and a host processor 310 . In this configuration, the host processor 310 includes a host runtime block 312 to execute a host application 320 to operate a neural network. In this example, the neural network of the host application 320 exceeds a fixed amount of memory provided by a single AI inference accelerator (AIIA).
[0042] According to this aspect of the present disclosure, the neural network of the host application 320 is split across the first AIIA 330 and the second AIIA 340 . That is, the neural network of the host application 320 is hosted in the first AIIA 330 and the second AIIA 340 . Splitting of the neural network of the host application 320 between the first AIIA 330 and the second AIIA 340 , however, involves routing of intermediate inference request results 308 generated by the first AIIA 330 and/or the second AIIA 340 . In this example, the intermediate inference request results 308 are routed between the first AIIA 330 and the second AIIA 340 independent of the host processor 310 . As should be recognized, the intermediate inference request results 308 are intermediate results to generate an inference request result 306 .
The patent dates back to February 2019.
White Horse
Regular
Employment certainly on the front foot.
BrainChip Laguna Hills, CA Hybrid 6 hours ago 8 applicants
Full-time
BrainChip Laguna Hills, CA Hybrid
**Please no agencies***
Come join the company leading the technological revolution in artificial intelligence. BrainChip is a global technology company producing a groundbreaking neuromorphic processor that brings artificial intelligence to the edge in a way that is beyond the capabilities of other products.
We are the world’s first commercial producer of ultra-low-power and high-performance artificial intelligence technology processors that enables a wide array of applications such as self-driving cars, hearing aids, drones, and agricultural equipment. The event-based neural network processor is inspired by the spiking nature of the human brain and is implemented in an industry-standard digital process.
Our company was recognized as one of the “Startups Worth Watching in 2021” in EE Times’ annual Silicon 100 list of global semiconductor technologies and our founder was named the winner of the AI Hardware 2021 Innovator Award. We have offices in Laguna Hills, California; Toulouse, France; Hyderabad, India; and Perth, Australia. We are also publicly traded on the Australian Stock Exchange (BRN:ASX) and the OTC Market (BRCHF).
Job Title: Head of Customer Engineering
Reports to: CEO
SUMMARY:
A principal goal for the Head of Customer Engineering is to bridge core engineering activities into commercialization efforts. This includes technical customer support policies, objectives, and initiatives. This is a hands-on position, managing a team as well as resolving higher level technical and customer relations issues. This position needs to be able to understand and maintain a working, technical knowledge of our client’s core technologies to provide full top level technical support.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
ENGINEERING
• Define deliverables, and program manage core developments from engineering to meet the Product Team specifications/requirements; Validate features and performance meet customer and market requirements
• Work closely with Product, Sales, Engineering and Advanced Research to optimize efficiency and effectiveness in technology handoff for commercialization
• Become the leader, and educator of fundamental knowledge related to machine learning functions and field deployments
• Working with the Product Team clearly define the hardware and s/w tool roadmap with critical milestones, dependencies, and staffing plans
MARKET
• Define strategy, and execute continuous benchmarking activities to ensure market competitiveness; identify strengths/weaknesses; feedback to organization for improvement
• Along with Sales, lead the definition, design and launch of customer centric evaluation boards//modules to highlight company value-add and differentiation
•Capable of basic application layer s/w coding, and debugging
SALES
•Take delivery of models from engineering and implement a real-life demonstration system to correlate assumptions related to ease of use, performance, and application
•Be the first to back up sales and system architects
• Handle basic level of application advice.
• In conjunction with Product deliver technical content for customer collateral (and consumption)
• Serve as a catalyst for growth in the marketplace by representing company at technical conferences/committees to stay up-to-date with the latest technologies, and trends impacting the AI Industry
• Formally document the design processes and methodology; (ie ISO, Automotive Qualification)
• Ensure all technical documentation is customer friendly
GENERAL
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
Other Skills and Abilities:
Compensation, Benefits, and Perks:
BrainChip is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
BrainChip
8,577 followers
Head of Customer Engineering
BrainChip Laguna Hills, CA Hybrid 6 hours ago 8 applicants
Full-time
- 11-50 employees
- See how you compare to 8 applicants. Try Premium for free
- Actively recruiting
- Job poster joined LinkedIn in 2008
Head of Customer Engineering
BrainChip Laguna Hills, CA Hybrid
About the job
**Please no agencies***
Come join the company leading the technological revolution in artificial intelligence. BrainChip is a global technology company producing a groundbreaking neuromorphic processor that brings artificial intelligence to the edge in a way that is beyond the capabilities of other products.
We are the world’s first commercial producer of ultra-low-power and high-performance artificial intelligence technology processors that enables a wide array of applications such as self-driving cars, hearing aids, drones, and agricultural equipment. The event-based neural network processor is inspired by the spiking nature of the human brain and is implemented in an industry-standard digital process.
Our company was recognized as one of the “Startups Worth Watching in 2021” in EE Times’ annual Silicon 100 list of global semiconductor technologies and our founder was named the winner of the AI Hardware 2021 Innovator Award. We have offices in Laguna Hills, California; Toulouse, France; Hyderabad, India; and Perth, Australia. We are also publicly traded on the Australian Stock Exchange (BRN:ASX) and the OTC Market (BRCHF).
Job Title: Head of Customer Engineering
Reports to: CEO
SUMMARY:
A principal goal for the Head of Customer Engineering is to bridge core engineering activities into commercialization efforts. This includes technical customer support policies, objectives, and initiatives. This is a hands-on position, managing a team as well as resolving higher level technical and customer relations issues. This position needs to be able to understand and maintain a working, technical knowledge of our client’s core technologies to provide full top level technical support.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
ENGINEERING
• Define deliverables, and program manage core developments from engineering to meet the Product Team specifications/requirements; Validate features and performance meet customer and market requirements
• Work closely with Product, Sales, Engineering and Advanced Research to optimize efficiency and effectiveness in technology handoff for commercialization
• Become the leader, and educator of fundamental knowledge related to machine learning functions and field deployments
• Working with the Product Team clearly define the hardware and s/w tool roadmap with critical milestones, dependencies, and staffing plans
MARKET
• Define strategy, and execute continuous benchmarking activities to ensure market competitiveness; identify strengths/weaknesses; feedback to organization for improvement
• Along with Sales, lead the definition, design and launch of customer centric evaluation boards//modules to highlight company value-add and differentiation
•Capable of basic application layer s/w coding, and debugging
SALES
•Take delivery of models from engineering and implement a real-life demonstration system to correlate assumptions related to ease of use, performance, and application
•Be the first to back up sales and system architects
• Handle basic level of application advice.
• In conjunction with Product deliver technical content for customer collateral (and consumption)
• Serve as a catalyst for growth in the marketplace by representing company at technical conferences/committees to stay up-to-date with the latest technologies, and trends impacting the AI Industry
• Formally document the design processes and methodology; (ie ISO, Automotive Qualification)
• Ensure all technical documentation is customer friendly
GENERAL
- Develops service level standards focused on response times, issue resolution, service quality, and customer satisfaction.
- Establishes policies and procedures that produce high quality customer support and that reflect industry best practices.
- Ensures that systems are in place and are utilized to capture and report on service metrics, including any customer feedback or trends in product or service issues.
- Manages resource decision-making, planning, and best practices.
- Aligns technical customer support activities and initiatives to support and enhance the objectives of the organization.
- Take ownership of unresolved technical issues, and bridge with Sales and Engineering teams to solve and/or develop solutions.
- Manage customer technical relationships as required and work with internal resources to ensure a high level of customer satisfaction.
- Ability to communicate orally with customers, management, and other co-workers, both individually and in front of a group is crucial.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
- B.S. in Computer Science, or EE; will consider experience in lieu of education
- Requires a very high technical acumen and understanding of machine learning and deep learning experience using Python, Tensorflow
- Firsthand experience with object classification, object detection, face recognition, keyword spotting a plus
- Experience with Git version control system
- Experience in CPUs, Tools and methodologies, machine learning, C++ programming
- PCB design, layout and bring-up experience a plus
- Has led small engineering teams
- Has been in front line customer support role
- Comfortable as a player coach—this is a very small team and the leader needs to spend 80% doing and 20% managing
Other Skills and Abilities:
- Strong verbal and written communication skills
- Ability to compose routine reports and correspondence
- Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds
- Strong teamwork and interpersonal skills and analytical skills
- Desire to be involved in a diverse and creative work environment
- Must be a self-starter with mindset for growth and real passion for continuous learning
Compensation, Benefits, and Perks:
- Competitive Pay $175-$250K
- Restricted Stock Units
- Bonus Pay
- 401K with matching - Fully Vested from Day one
- Free Lunch Daily and Snacks
- Paid Time Off
- Holiday Pay
- Company-paid Medical HMO, Dental PPO, and Vision Insurance
- Company-paid Life Insurance and AD&D
- Employee Assistance Program
BrainChip is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Benefits found in job post
- 401(k)
- Vision insurance
About the company
BrainChip
8,577 followers
MaxwellAnne
Regular
Aaaarrrggghhhh I still haven't worked out who it was!!! Am I the only one? The curiosity is killing me haha
curlednoodles
Regular
theyre not. as you know. Was just adding to the hypothetical
Fact Finder
Top 20
I mentioned a few days ago that the government was running the change to superannuation tax rules up the flag pole despite promises to the contrary.
The present line is that it will only affect 80,000 superannuates however this is in its first year of operation.
Just like stamp duty on real estate in NSW it will not be indexed to adjust for inflation and so over time this number will greatly increase.
In the real world in which we all live someone today commencing work at the age of 20 years will have about 40+ years before they enter retirement. The implications for a ceiling of $3 million over 40 years can be evidenced by if you are an oldie like myself recalling what you paid for your first home about 45 years ago. In our case it was $38,000. It came on the market two or three years ago now and I noticed that the owners were then asking over $900,000.
Some here will not have given much thought to their retirement but the following graph using Monte Carlo calculations suggests that having $2 million in superannuation today and wanting to have an annual pension of $84,000 based on average returns will give you only a 30% chance of your $2 million lasting until your average life expectancy:
There are lots of these tables out there on the web but the reality is the younger you retire the more money you need to have tucked away because while $3 million might seem like a lot now in 40 + years it will be a bag of lollies.
Those retirees who retired last year would have sat down with their accountants or advisers and calculated what they needed to live a comfortable life in retirement based upon the known rules and government promises. Overnight those calculations became meaningless for 80,000 Australians.
Now before you decide that these 80,000 are all fat cats or filthy rich consider this Australia has almost 3 million small business owners providing approximately 97% of all jobs in our economy. Amongst this three million business owners are:
"Medium-scale enterprises are about 56,835 in number (employing about 20 to 199 people),"
Then ask yourself if you were one of these 56,835 medium scale business owners would you want the stress and responsibility this involves if you could not at least retire with a 100% certainty that your superannuation would see you out and give you a life style that made it all worthwhile.
On the above figures to guarantee this and have a good buffer against inflation and tax law changes you would want four or five million dollars in my opinion.
Anyway these changes will not be made until after the next election so you have plenty of time to take advice, do your numbers and complain to your local member if you feel that this proposed change might not be particularly fair or reasonable for you or your loved ones.
My opinion only DYOR
FF
AKIDA BALLISTA
A remarkable thing about these job ads is the expressed willingness to consider informal experience in lieu of formal qualifications:Employment certainly on the front foot.
Head of Customer Engineering
BrainChip Laguna Hills, CA Hybrid 6 hours ago 8 applicants
Full-time
- 11-50 employees
- See how you compare to 8 applicants. Try Premium for free
- Actively recruiting
- Job poster joined LinkedIn in 2008
Head of Customer Engineering
BrainChip Laguna Hills, CA Hybrid
About the job
**Please no agencies***
Come join the company leading the technological revolution in artificial intelligence. BrainChip is a global technology company producing a groundbreaking neuromorphic processor that brings artificial intelligence to the edge in a way that is beyond the capabilities of other products.
We are the world’s first commercial producer of ultra-low-power and high-performance artificial intelligence technology processors that enables a wide array of applications such as self-driving cars, hearing aids, drones, and agricultural equipment. The event-based neural network processor is inspired by the spiking nature of the human brain and is implemented in an industry-standard digital process.
Our company was recognized as one of the “Startups Worth Watching in 2021” in EE Times’ annual Silicon 100 list of global semiconductor technologies and our founder was named the winner of the AI Hardware 2021 Innovator Award. We have offices in Laguna Hills, California; Toulouse, France; Hyderabad, India; and Perth, Australia. We are also publicly traded on the Australian Stock Exchange (BRN:ASX) and the OTC Market (BRCHF).
Job Title: Head of Customer Engineering
Reports to: CEO
SUMMARY:
A principal goal for the Head of Customer Engineering is to bridge core engineering activities into commercialization efforts. This includes technical customer support policies, objectives, and initiatives. This is a hands-on position, managing a team as well as resolving higher level technical and customer relations issues. This position needs to be able to understand and maintain a working, technical knowledge of our client’s core technologies to provide full top level technical support.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
ENGINEERING
• Define deliverables, and program manage core developments from engineering to meet the Product Team specifications/requirements; Validate features and performance meet customer and market requirements
• Work closely with Product, Sales, Engineering and Advanced Research to optimize efficiency and effectiveness in technology handoff for commercialization
• Become the leader, and educator of fundamental knowledge related to machine learning functions and field deployments
• Working with the Product Team clearly define the hardware and s/w tool roadmap with critical milestones, dependencies, and staffing plans
MARKET
• Define strategy, and execute continuous benchmarking activities to ensure market competitiveness; identify strengths/weaknesses; feedback to organization for improvement
• Along with Sales, lead the definition, design and launch of customer centric evaluation boards//modules to highlight company value-add and differentiation
•Capable of basic application layer s/w coding, and debugging
SALES
•Take delivery of models from engineering and implement a real-life demonstration system to correlate assumptions related to ease of use, performance, and application
•Be the first to back up sales and system architects
• Handle basic level of application advice.
• In conjunction with Product deliver technical content for customer collateral (and consumption)
• Serve as a catalyst for growth in the marketplace by representing company at technical conferences/committees to stay up-to-date with the latest technologies, and trends impacting the AI Industry
• Formally document the design processes and methodology; (ie ISO, Automotive Qualification)
• Ensure all technical documentation is customer friendly
GENERAL
- Develops service level standards focused on response times, issue resolution, service quality, and customer satisfaction.
- Establishes policies and procedures that produce high quality customer support and that reflect industry best practices.
- Ensures that systems are in place and are utilized to capture and report on service metrics, including any customer feedback or trends in product or service issues.
- Manages resource decision-making, planning, and best practices.
- Aligns technical customer support activities and initiatives to support and enhance the objectives of the organization.
- Take ownership of unresolved technical issues, and bridge with Sales and Engineering teams to solve and/or develop solutions.
- Manage customer technical relationships as required and work with internal resources to ensure a high level of customer satisfaction.
- Ability to communicate orally with customers, management, and other co-workers, both individually and in front of a group is crucial.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
- B.S. in Computer Science, or EE; will consider experience in lieu of education
- Requires a very high technical acumen and understanding of machine learning and deep learning experience using Python, Tensorflow
- Firsthand experience with object classification, object detection, face recognition, keyword spotting a plus
- Experience with Git version control system
- Experience in CPUs, Tools and methodologies, machine learning, C++ programming
- PCB design, layout and bring-up experience a plus
- Has led small engineering teams
- Has been in front line customer support role
- Comfortable as a player coach—this is a very small team and the leader needs to spend 80% doing and 20% managing
Other Skills and Abilities:
- Strong verbal and written communication skills
- Ability to compose routine reports and correspondence
- Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds
- Strong teamwork and interpersonal skills and analytical skills
- Desire to be involved in a diverse and creative work environment
- Must be a self-starter with mindset for growth and real passion for continuous learning
Compensation, Benefits, and Perks:
- Competitive Pay $175-$250K
- Restricted Stock Units
- Bonus Pay
- 401K with matching - Fully Vested from Day one
- Free Lunch Daily and Snacks
- Paid Time Off
- Holiday Pay
- Company-paid Medical HMO, Dental PPO, and Vision Insurance
- Company-paid Life Insurance and AD&D
- Employee Assistance Program
BrainChip is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Benefits found in job post
- 401(k)
- Vision insurance
About the company
BrainChip
8,577 followers
- B.S. in Computer Science, or EE; will consider experience in lieu of education
- B.S. in Computer Science, or EE; will consider experience in lieu of education
I guess one thing driving this is the fact that the internet makes all knowledge available.
Another thing is that there are lots of "amateur" software programmers without formal qualifications, and programming can be learnt on-line.
Mind you, I would think that an unqualified applicant would need exceptional experience to be considered for some of the BrainChip jobs that have been advertised.
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