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Quiltman
Regular
An interesting article from 2 weeks ago, how Cisco are using AI in WebEx to try to gain marketshare from Zoom.
It could very well be that they continued the dialogue with BrainChip ....
Video conferencing platform Webex by Cisco is introducing machine learning and generative AI functions meant to improve collaboration at a distance and CRM through enhanced video experiences and ChatGPT-like natural language interfaces.
Image: monticellllo/Adobe Stock
Cisco is introducing a suite of generative artificial intelligence-driven features in its Webex video conferencing platform, from meeting summaries to visual enhancements. These features are aimed at both customer communications and hybrid working end users.
The company joins enterprises like Microsoft, Salesforce, Adobe and Google in adding generative AI capabilities to its service. The new upgrades to Webex include AI-powered audio, video, natural language understanding and analytics enhancements.
Jump to:
After Webex, according to Datanyze, are GoToWebinar with 7% of the global market share, On24, Adobe Connect, Livestorm, GoToMeeting and Google Hangouts.
“Cisco has been investing in this for 10 or 15 [years], starting with basic things like noise cancellation and with some of our video conferencing technologies that have the ability to detect faces and zoom in and out,” Khan said. “So, we have been working on this for a while.
“What’s happened in the last couple of years is that the underlying technologies reached a point where the level of processing in real time and the amount of training data available has just grown exponentially. So these technologies, I think, have gotten 100 times better, which is allowing for things that weren’t possible before.”
Khan said that in the last three years Cisco spent about $1.5 billion acquiring several companies including Voicea and BabbleLabs for voice enhancing technologies as well as MindMeld, a natural language-processing company.
The company said the feature also allows IT administrators to create virtual spaces, or meeting zones, that automatically exclude distracting objects or people.
The cinematic feature includes the ability to capture the speaker at their best angle by automatically switching views.
Figure A
Image: Webex
Further, the AI recognizes human gestures and can add on-screen emojis corresponding to them, including gestures like hands raised for celebration, pressed together for thanks and request, and a heart for affection. It also adds animated features like confetti, fireflies and universe effects (Figure B).
Figure B
Image: Cisco. Webex enhancements add animated features.
And if a speaker leaves the camera view zone without departing the meeting, the AI can recognize this and display a “be right back” icon (Figure C).
Figure C
Image: Cisco. Webex automatically superimposes a “be right back” clock face image.
It could very well be that they continued the dialogue with BrainChip ....
Video conferencing platform Webex by Cisco is introducing machine learning and generative AI functions meant to improve collaboration at a distance and CRM through enhanced video experiences and ChatGPT-like natural language interfaces.
Cisco is introducing a suite of generative artificial intelligence-driven features in its Webex video conferencing platform, from meeting summaries to visual enhancements. These features are aimed at both customer communications and hybrid working end users.
The company joins enterprises like Microsoft, Salesforce, Adobe and Google in adding generative AI capabilities to its service. The new upgrades to Webex include AI-powered audio, video, natural language understanding and analytics enhancements.
Jump to:
- Webex looks to grab market share from Zoom, others
- Cisco on multi-year path to incorporate machine learning
- AI enhancements in Webex
- Webex’s tools for customer-facing communications
Webex looks to grab market share from Zoom, others
According to customer relationship management data company Datanyze, Zoom is the market leader in video conferencing, with 72.61% market share and more than 176,757 companies using it. It reports that Cisco Webex is a distant second with 8.6% with more than 20,935 companies using Webex.After Webex, according to Datanyze, are GoToWebinar with 7% of the global market share, On24, Adobe Connect, Livestorm, GoToMeeting and Google Hangouts.
Cisco on multi-year path to incorporate machine learning
Javed Khan, senior vice president and general manager of collaboration at Cisco, said the company has been advancing its use of machine learning systems for at least three years.“Cisco has been investing in this for 10 or 15 [years], starting with basic things like noise cancellation and with some of our video conferencing technologies that have the ability to detect faces and zoom in and out,” Khan said. “So, we have been working on this for a while.
“What’s happened in the last couple of years is that the underlying technologies reached a point where the level of processing in real time and the amount of training data available has just grown exponentially. So these technologies, I think, have gotten 100 times better, which is allowing for things that weren’t possible before.”
Khan said that in the last three years Cisco spent about $1.5 billion acquiring several companies including Voicea and BabbleLabs for voice enhancing technologies as well as MindMeld, a natural language-processing company.
AI enhancements in Webex
Cisco said the integration of AI has allowed the company to make several text and image enhancements that include image optimizing, 3D effects and natural-language queries.Cinematics for Webex devices
The upgrades to Webex add a cinematic quality to user video using its RoomOS conference video system, which optimizes video by automatically switching between cameras, for example, if a user is employing more than one.The company said the feature also allows IT administrators to create virtual spaces, or meeting zones, that automatically exclude distracting objects or people.
The cinematic feature includes the ability to capture the speaker at their best angle by automatically switching views.
Webex’s portrait effect
The AI baked into Webex also lets users choose to do complex visual optimizing effects, such as adding depth and sharpness to one’s appearance and making low-resolution video high definition (Figure A).Figure A
Further, the AI recognizes human gestures and can add on-screen emojis corresponding to them, including gestures like hands raised for celebration, pressed together for thanks and request, and a heart for affection. It also adds animated features like confetti, fireflies and universe effects (Figure B).
Figure B
And if a speaker leaves the camera view zone without departing the meeting, the AI can recognize this and display a “be right back” icon (Figure C).
Figure C
Message recommendations
The message recommendations feature uses AI to prioritize chat and space messages based on interactions with team members and other people users engage with most. Space recommendations suggest relevant Webex spaces to join based on similar people and engagements.Webex’s tools for customer-facing communications
Cisco said its use of large language models in Webex customer experience made it possible to deploy in its Webex Contact Center automated, AI-fueled features like:- Virtual Agents: A self-service chatbot.
- Agent Answers: A feature that provides real-time recommendations to an agent based on their inquiry.
- Contextual Chat Summary: A new feature, which will be available on the Webex Connect platform to automatically summarize any long-form text across digital channels. It can be used with Webex Contact Center or any other third-party contact center solution.
- A subject line generator for email subject lines for marketers and content creators.
- Evaluate Node for developers and IT professionals, designed to simplify building new flows and applications.
Frangipani
Top 20
Most likely part of the irrigation system for the Vatican Gardens, sprinkling holy water…
Not enough info for a definitive here but .......i like it...
ALT1350: Lowest Power 5G Cellular+ solution for Internet of Things | Sony Altair
The Sony Altair ALT1350 chipset is Lowest Power 5G Cellular+ solution for Internet of ThingsLowest Power LTE-M/NB-IoT, Highly Integrated SoC, designed for the 5G Massive Internet of Things Marketaltair.sony-semicon.com
View attachment 34526
Sony has been very active in marketing their AI lately... Raspberry Pi, Vision sensors with Prophesee and IOT's below. When Megachips first signed their IP license, Nintendo was a known customer... as well as "a Japanese camera" company. There's a high possibility that Sony have signed an IP deal via Megachips. I didn't have much faith in any cash receipts in the upcoming 4C, as their was not much revenue forecast in the annual report. But. I'm not sure how these IP contracts work. If for example, a company like Sony had products (such as the one below) commercially available.. would BRN be required to invoice them? Or would the IP royalties be paid as products are manufactured? As in cash receipted in a current 4C, that has not been forecast in previous reports?
KiKi
Regular
Expect within the next 7 business days another ASX announcement with the tabling of our Quarterly Report and 4C.
Try to keep a level head, as it may not contain all that you are/were hoping for at this point in time.
My opinion....Tech
You are scaring me!
HopalongPetrovski
I'm Spartacus!
Humble Genius
Regular
Hello All,
I was just reading through the 2022 Annual Report that came into my email today and on p2, in Viana's Letter From The Chair, he makes the statement:
"Our Board of Directors grew in 2022 with the addition on Duy-Loan Le. Her early contributions have already made a material impact."
Does anyone know what her material impact was? And, isn't anything of a material nature something that needs to be made known public by way of ASX announcement?
I was just reading through the 2022 Annual Report that came into my email today and on p2, in Viana's Letter From The Chair, he makes the statement:
"Our Board of Directors grew in 2022 with the addition on Duy-Loan Le. Her early contributions have already made a material impact."
Does anyone know what her material impact was? And, isn't anything of a material nature something that needs to be made known public by way of ASX announcement?
So my hot water unit works for a hydronic system as well a boarding house for a school, cost $30k to install. Just found out the sensor to the tanks was malfunctioning and incorrectly telling the system it was 35 degree colder than it was. Condensor is shot and a few other things with it. I said to the guy working on it, how much is the sensor worth, he said $12. So I said a $12 sensor has cost me $4.5k in repairs? he said yep!
Oh dear I said, that sensor isn't too smart is it? Come on BRN lets save me some $$ and make me some while you're at it!!!
Oh dear I said, that sensor isn't too smart is it? Come on BRN lets save me some $$ and make me some while you're at it!!!
She cost us a lot of money to get her here, therefore immediate Material impact
latnrollah
Member
While driving, the platform is available only for audio calls, though it still has nice features such as AI-powered noise cancellation to drown out the traffic around you for the sake of those on the other end of your meeting. Transcription capabilities can also capture notes from the meeting to let you keep your eyes on the road and your hands on the wheel.Also involved with Mercedes.
Mercedes Benz AG Drives Remote Work And Collaboration With Webex By Cisco
Vice President & Principal Analyst, Modern Work, Melody Brue, dives in as The new Mercedes-Benz E-Class vehicles equipped with Webex Meetings and Calling delivers innovative connected car experiences that enable workers to take that mindset on the road.www.forbes.com
The complete immersive Webex experience is accessible only while the car is parked. This includes the use of video with the in-dash camera, automatic AI-powered transcription, content sharing and emoji reactions.
Fahrenheit?So my hot water unit works for a hydronic system as well a boarding house for a school, cost $30k to install. Just found out the sensor to the tanks was malfunctioning and incorrectly telling the system it was 35 degree colder than it was. Condensor is shot and a few other things with it. I said to the guy working on it, how much is the sensor worth, he said $12. So I said a $12 sensor has cost me $4.5k in repairs? he said yep!
Oh dear I said, that sensor isn't too smart is it? Come on BRN lets save me some $$ and make me some while you're at it!!!
@Rocket577 posted a Valeo presentation
I think the most important take-away is that Valeo will sell 1.5 billion ADAS sensors in the next 5 years - Ultrasound, LiDaR, Radar, camera. That's an average of 300M sensors per year.
If we take FF's tried and tested 1% that would be 3 million Akidas p.a. ... but I'll let you do the maths.
Those sensors will be in 30 million ADAS systems, so an average of 10 sensors per ADAS.
Stellantis, owner of several vehicle brands, proposes to use the system in several models in 2024.
The big BMW contact also got a gurnsey.
... and we're not forgetting Mercedes.
... and we still don't know the relationship between BrainChip and Valeo. To repeat myself, the initial announcement reads more like a joint development than a licence. If that's the case, there is no up front licence fee. We have to wait for sales to get our slice, which, under a JD, we might expect to be worth more than a royalty.
The good news is that Valeo has more than 1 billion euros in forward orders.
There is also mention of CVPR self-supervised learning:
CVPR 2022 Open Access Repository (thecvf.com)
It would be great if our share of the Valeo ADAS pie could be revealed before the AGM.
I think the most important take-away is that Valeo will sell 1.5 billion ADAS sensors in the next 5 years - Ultrasound, LiDaR, Radar, camera. That's an average of 300M sensors per year.
If we take FF's tried and tested 1% that would be 3 million Akidas p.a. ... but I'll let you do the maths.
Those sensors will be in 30 million ADAS systems, so an average of 10 sensors per ADAS.
Stellantis, owner of several vehicle brands, proposes to use the system in several models in 2024.
The big BMW contact also got a gurnsey.
... and we're not forgetting Mercedes.
... and we still don't know the relationship between BrainChip and Valeo. To repeat myself, the initial announcement reads more like a joint development than a licence. If that's the case, there is no up front licence fee. We have to wait for sales to get our slice, which, under a JD, we might expect to be worth more than a royalty.
The good news is that Valeo has more than 1 billion euros in forward orders.
There is also mention of CVPR self-supervised learning:
CVPR 2022 Open Access Repository (thecvf.com)
It would be great if our share of the Valeo ADAS pie could be revealed before the AGM.
Fullmoonfever
Top 20
Hey @Diogenese
After I posted that new AFRL promo vid earlier on neuromorphic, I had an ISL revisit.
We Ann'd Jan 22 re their EAP, they lodged a patent as below in 2021 and was granted Feb 22. Timing
Is primarily DNN training and conversion to SNN on neuromorphic hardware from what I can see.
What's your thoughts if get time?
Process and method for real-time sensor neuromorphic processing
Jul 19, 2021 - Information Systems Laboratories, IncA novel system and method are described that allows for implementation of compact and efficient deep learning AI solutions to advanced sensor signal processing functions. The process includes the following stages: (1) A method for generating requisite annotated training data in sufficient quantity to ensure convergence of a deep learning neural network (DNN); (2) A method for implementing the resulting DNN onto a Spiking Neural Network (SNN) architecture amenable to efficient neuromorphic integrated circuit (IC) architectures; (3) A method for implementing the solution onto a neuromorphic IC; and (4) A statistical method for ensuring reliable performance.
U.S. Patent for Process and method for real-time sensor neuromorphic processing Patent (Patent # 11,256,988 issued February 22, 2022) - Justia Patents Search
A novel system and method are described that allows for implementation of compact and efficient deep learning AI solutions to advanced sensor signal processing functions. The process includes the following stages: (1) A method for generating requisite annotated training data in sufficient...
patents.justia.com
Tothemoon24
Top 20
Just a little refresher ;
Valeo & Ford have been aboard for nearly 3 years .
Keep holding chippers it’s not if but when
Let us look at the two recent deals signed by the Company that led to the stock rally.
Joint Agreement with Tier-1 Automotive Supplier
On 8 June 2020, Brainchip Holdings Ltd entered a joint development pact using BRN’s Akida neuromorphic SoC with Valeo Corporation, a Tier-1 European automotive supplier of sensors as well as systems for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
Under the agreement, certain performance milestones & payments that are anticipated to include the Company’s expenditures. The term of the deal is specified by the accomplishment of performance goals & the accessibility of the Akida devices. Each party has the option to end the agreement for convenience with specific notification.
The confirmation of the Company’s Akida device by a Tier-1 supplier of sensors & systems to the automotive industry is believed to be significant progress.
In ADAS & AV applications, the real-time processing of data is vital for security as well as dependability of the autonomous systems. From the automotive industry, the suppliers, as well as the manufacturers, have acknowledged that the advanced & highly efficient neuromorphic nature of the Akida SoC makes it ideally fit to process data at the “Edge” for their advanced system solutions.
With the integration of the Akida neural network processor with sensors, the subsequent system can attain ultra-low power, min. latency, max. reliability & incremental learning.
The Akida neural processor’s game-changing high performance & ultra-low power utilisation allows smart sensor combination by resolving power and footprint difficulties for a range of sensor technologies. Further, it consumes less power than alternative AI solutions and simultaneously maintaining the necessary performance as well as accuracy in a fraction of the physical space.
Agreement with Ford Motor Company for the Evaluation of AkidaTM Neural Processor
On 24 May 2020, the Company signed a joint agreement with Detroit-based Company for evaluation of the Akida neural network System-on-Chip for Advanced Driver Assistance Systems & Autonomous Vehicle applications.
The evaluation agreement was binding on execution which was signed into with Ford Motor Company and is not the subject of a fixed term. The deal is based upon a partnership to assess Akida as it relates to the automotive industry & payments under the agreement proposed to cover related expenses and received periodically during the evaluation process.
Akida NSoC has an advanced and highly efficient neuromorphic nature, and the partners in the collaboration have also realised that these features provide a broad range of potential solutions to complex problems such as driver behaviour assessments and real-time object detection.
The Akida NSoC exemplifies ground-breaking Neural Processing computing tools for Edge AI systems and gadgets. Each Akida NSoC has 10 billion synapses and 1.2 million neurons, demonstrating orders of magnitude improved effectiveness than other neural processing devices available.
The unique combination of meagre power, high performance and on-chip learning enables for real-time processing at the sensor along with continuous learning. The objective is to facilitate personalisation of every driver’s understanding in real time & constant updates to the system with the change in the environmental conditions.
Valeo & Ford have been aboard for nearly 3 years .
Keep holding chippers it’s not if but when
Let us look at the two recent deals signed by the Company that led to the stock rally.
Joint Agreement with Tier-1 Automotive Supplier
On 8 June 2020, Brainchip Holdings Ltd entered a joint development pact using BRN’s Akida neuromorphic SoC with Valeo Corporation, a Tier-1 European automotive supplier of sensors as well as systems for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV).
Under the agreement, certain performance milestones & payments that are anticipated to include the Company’s expenditures. The term of the deal is specified by the accomplishment of performance goals & the accessibility of the Akida devices. Each party has the option to end the agreement for convenience with specific notification.
The confirmation of the Company’s Akida device by a Tier-1 supplier of sensors & systems to the automotive industry is believed to be significant progress.
In ADAS & AV applications, the real-time processing of data is vital for security as well as dependability of the autonomous systems. From the automotive industry, the suppliers, as well as the manufacturers, have acknowledged that the advanced & highly efficient neuromorphic nature of the Akida SoC makes it ideally fit to process data at the “Edge” for their advanced system solutions.
With the integration of the Akida neural network processor with sensors, the subsequent system can attain ultra-low power, min. latency, max. reliability & incremental learning.
The Akida neural processor’s game-changing high performance & ultra-low power utilisation allows smart sensor combination by resolving power and footprint difficulties for a range of sensor technologies. Further, it consumes less power than alternative AI solutions and simultaneously maintaining the necessary performance as well as accuracy in a fraction of the physical space.
Agreement with Ford Motor Company for the Evaluation of AkidaTM Neural Processor
On 24 May 2020, the Company signed a joint agreement with Detroit-based Company for evaluation of the Akida neural network System-on-Chip for Advanced Driver Assistance Systems & Autonomous Vehicle applications.
The evaluation agreement was binding on execution which was signed into with Ford Motor Company and is not the subject of a fixed term. The deal is based upon a partnership to assess Akida as it relates to the automotive industry & payments under the agreement proposed to cover related expenses and received periodically during the evaluation process.
Akida NSoC has an advanced and highly efficient neuromorphic nature, and the partners in the collaboration have also realised that these features provide a broad range of potential solutions to complex problems such as driver behaviour assessments and real-time object detection.
The Akida NSoC exemplifies ground-breaking Neural Processing computing tools for Edge AI systems and gadgets. Each Akida NSoC has 10 billion synapses and 1.2 million neurons, demonstrating orders of magnitude improved effectiveness than other neural processing devices available.
The unique combination of meagre power, high performance and on-chip learning enables for real-time processing at the sensor along with continuous learning. The objective is to facilitate personalisation of every driver’s understanding in real time & constant updates to the system with the change in the environmental conditions.
TechGirl
Founding Member
We get a nice little plug here at point number 4.
www.forbes.com
19 Ways AI May Soon Revolutionize The Healthcare Industry
From managing administrative tasks to analyzing big data to help diagnose disease, AI may soon be enhancing and accelerating cutting-edge patient care.
www.forbes.com
cosors
👀
You are the best. I love your work!
I was a little distracted in my graphite corner....
cosors
👀
I'm really impressed. WoW!
Legend you are
Last edited:
Sirod69
bavarian girl ;-)
SiFive Intelligence
Building Solutions for Modern AI/ML
AI/ML Challenges
Commonly used embedded control processors lack compute resources needed to execute inference workloads efficiently. Dedicated accelerators can work well for CNN layers, however:- They may not work for modern neural networks
- They can be difficult to program, may have immature tools
- In-house solutions may be expensive to maintain
The SiFive Solution
SiFive Intelligence is an integrated software + hardware solution that addresses energy efficient inference applications. It starts with SiFive’s industry-leading RISC-V Core IP, adds RISC-V Vector (RVV) support, and then goes a step further with the inclusion of software tools and new SiFive Intelligence Extensions, vector operations specifically tuned for the acceleration of machine learning operations. These new instructions, integrated with a multi-core capable, Linux-capable, dual-issue microarchitecture, with up to 512b wide vectors, and bundled with TensorFlow Lite support, are well-suited for high-performance, low-power inference applications.Learn more about the first announced SiFive Intelligence product, the SiFive Intelligence X280.
SiFive Intelligence™ Family
SiFive Intelligence processors are designed to address the future requirements of AI technology to the edge, with high performance scalar and vector compute capability.
www.sifive.com
Tothemoon24
Top 20
Scaling IoT and IIoT Ecosystems: Qualcomm Unveils New Solutions
By Alex PassettApril 17, 2023
Since 1985, Qualcomm has cemented its international footprint in the development of critical technologies.
In 2023, it still offers a whole host of innovations; extended reality (XR) and wireless capabilities for mobile, connectivity and location awareness for automotive, numerous outfitted wearables and smart solutions for consumer and networking IoT (Internet of Things), and breakthroughs for Industrial IoT (IIoT).
In short, per Qualcomm’s mission statement, the company “transforms how the world communications, connects, and computes.” It’s also a Promoter-level member of the Mobile Industry Processor Interface (MIPI) Alliance alongside the likes of Google, Bosch, and Samsung.
In continuing to bring data processing and intelligence to the edge in order to further power the digital economy, Qualcomm announced two new sets of IoT solutions just earlier today: its QCS8550 and QCM8550 Processors, and its QCS4490 and QCM4490 Processors, respectively.
Let’s break this news down.
These versatile, upgraded, IoT-expanding processor solutions are poised to meet the needs of demanding commercial and industrial applications. (Use cases include, but aren’t limited to: 5G connectivity, next-gen smart cameras, robotics, cloud gaming, crystal-clear video collaboration, industrial handhelds, point-of-sale devices and more.)
The Qualcomm QCS8550 and QCM8550 Processors are designed for performance-intense IoT applications. They combine Wi-Fi 7 connectivity, extreme compute power and edge AI processing to quickly enable and deploy autonomous mobile robots, industrial drones, etc.
The Qualcomm QCS4490 and QCM4490 Processors are equipped with both 5G and Wi-Fi 6E for multi-gigabit speeds, extended range, and low latency for the super-efficient processing of complex computing tasks. With planned support for Android releases (through version 18), they can be used in industrial designs through the year 2030 and are ideal for advanced retail, control and automation applications like security panels, etc.
“Qualcomm Technologies is uniquely positioned to expediently take the IoT and IIoT ecosystems forward,” said Dev Singh, Vice President of Business Development and Head of Building, Enterprise & Industrial Automation at Qualcomm. “These are our newest solutions for bringing top industry technologies together, and to fuel the next generation of resilient, high-performing applications.”
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