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Explore the basics of voice enablement and NXP’s i.MX RT106V-Based Smart Voice User Interface Solution for IoT devices. This EdgeReady solution for both local and online voice control leverages the i.MX RT106V crossover MCU with integrated Voice Intelligent Technology (VIT) speech recognition offering a voice user interface for touchless applications. This ultra-small form-factor and production ready hardware design comes with fully integrated software running on FreeRTOS for a quick out-of-the-box evaluation. The solution also minimizes time to market, risk and development effort enabling OEMs to easily add voice to their smart home and smart appliance products.
Musk Plans To Buy AMD Chips As Tesla Loads Up On AI Hardware
Musk Plans To Buy AMD Chips As Tesla Loads Up On AI Hardware
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Samsung better peddle faster:
https://www.design-reuse.com/go2/455599/352793
My opinion only DYOR
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https://www.design-reuse.com/go2/455599/352793
My opinion only DYOR
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If ARM was an arm, BRN would be its biceps💪!
TDK's new low power smart sensors. Mentions their engineers "built an alternative in which a machine learning algorithm could recognize motion patterns at the sensor level, to determine whether further data processing is required. In that way a device could be ultra-low power."
Seems a bit fiddly and not very versatile IMO.
The company is offering its Smart Sensing Platform to enable faster deployment for Internet of Things (IoT) devices or other wireless sensing technology.
The company has released its Bluetooth mesh connected I3 device—with AI on-the-edge capability for the industrial IoT. It captures sensor data and shares it, as well as inference data, wirelessly, but requires low power based on its ability to send only relevant data, when it’s needed. The company demonstrated the new products at CES.
“We've been [primarily] focused on making our sensors smarter,” says Jim Tran, TDK USA’s general manager, and part of that effort is edge computing. “When we say edge, [in this case] we really mean at the very edge —on the sensor itself.”
As a result, the company has built its SmartEdge machine learning algorithm that links to a motion sensor within a device so that it can detect a motion and transmit accordingly. When the device is stationary, it can remain dormant.
TDK engineers built an alternative in which a machine learning algorithm could recognize motion patterns at the sensor level, to determine whether further data processing is required. In that way a device could be ultra-low power.
The company refers to the resulting technology as “sipping currents” or micro droplets of energy that are required to track conditions with the new devices.
The I3 module, measuring about the size of a quarter, is a resulting product for electronic device developers focused on measuring machine health. It comes with built-in BLE beacon for industrial mesh networks.
The algorithms enable users to run machine learning at the edge, using select sensor features such as vibration profile or temperature requirements to identify what is taking place and when data needs to be forwarded to the server.
Users could apply the TDK I3 or other IoT sensor devices on machinery in a factory or industrial site, which then begin tracking data about the sound, vibration or temperature being emitted by each machine. The devices could then use a Bluetooth mesh network to forward the data to a Wi-Fi access point when necessary.
However, the system is intended to send only relevant data to the cloud. TDK’s smart edge platform infers specific conditions before transmitting that data.
“You need to be able to make that algorithm super small for the tiniest memory footprint, for cost and latency,” he said.
He adds that the next step is having AI engineers available to write an algorithm for each deployment, and in some cases, for each kind of sensor device, or equipment that the device is monitoring.
To that end, TDK recently acquired Carnegie Mellon spinoff company Qeexo which created the developer tools that simplifies the process.
Developers select the algorithm, convert it to machine code and then download it to a sensor. They then apply the sensor to the machine to begin monitoring the data.
The technology is being adopted by companies such as factories that use smart sensors, as well as by solution providers that license TDK’s tool and create their own edge AI products.
“We're focused on using this tool combined with our devices like the I3 and to really help factories transform themselves into the digital world,” Tran says, adding for him, it’s a way to democratize IoT and AI solutions.
The goal is to make it possible for companies to deploy a solution without hiring outside engineers.
Last year, Procter and Gamble announced the use of this tool for their product development which the company says reduces the development time of their AI algorithms. They have not shared how they use the technology specifically.
The technology helps companies better manage conditions even at customer sites. For instance, firms that sell or lease equipment used at manufacturing sites can identify problems that could arise. In the case of a break-down, they would have access to troubleshooting data even before service personnel are onsite.
www.rfidjournal.com
Seems a bit fiddly and not very versatile IMO.
New Technology Aims at Easy, Low Power IoT for Manufacturing
BY CLAIRE SWEDBERGThe new BLE-enabled module and software platform from TDK are part of the company’s drive to make sensor-based equipment monitoring with AI
Jan 29, 2024For those in industrial settings, digital management of machine operation may be easier, with a new solution and sensor from electronic components company TDK corporation.The company is offering its Smart Sensing Platform to enable faster deployment for Internet of Things (IoT) devices or other wireless sensing technology.
The company has released its Bluetooth mesh connected I3 device—with AI on-the-edge capability for the industrial IoT. It captures sensor data and shares it, as well as inference data, wirelessly, but requires low power based on its ability to send only relevant data, when it’s needed. The company demonstrated the new products at CES.
Making Sensors Smarter
TDK’s primary businesses are divided into three main groups: ICT (information and communication technology), automotive, and industrial and energy. Within these groups, one of the technology solution consists of IoT-based sensors that measure conditions and share that data via wired or wireless connections.
“We've been [primarily] focused on making our sensors smarter,” says Jim Tran, TDK USA’s general manager, and part of that effort is edge computing. “When we say edge, [in this case] we really mean at the very edge —on the sensor itself.”
As a result, the company has built its SmartEdge machine learning algorithm that links to a motion sensor within a device so that it can detect a motion and transmit accordingly. When the device is stationary, it can remain dormant.
Low Power I3 Sensor
Tran notes most wearable technology comes with a form of motion sensing. Traditionally, devices process the motion data on a CPU or other dedicated hardware to identify what that motion means.TDK engineers built an alternative in which a machine learning algorithm could recognize motion patterns at the sensor level, to determine whether further data processing is required. In that way a device could be ultra-low power.
The company refers to the resulting technology as “sipping currents” or micro droplets of energy that are required to track conditions with the new devices.
The I3 module, measuring about the size of a quarter, is a resulting product for electronic device developers focused on measuring machine health. It comes with built-in BLE beacon for industrial mesh networks.
SmartEdge Algorithm
The overall solution that enables the latest, low energy, IoT deployments is TDK’s Smart Sensing Platform, featuring sensors and software with edge AI, connectivity and cloud computing. The goal is to make deployments easier and more seamless, with always-on interactive apps and services. The solution leverages the company’s SmartEdge AI algorithms.The algorithms enable users to run machine learning at the edge, using select sensor features such as vibration profile or temperature requirements to identify what is taking place and when data needs to be forwarded to the server.
Users could apply the TDK I3 or other IoT sensor devices on machinery in a factory or industrial site, which then begin tracking data about the sound, vibration or temperature being emitted by each machine. The devices could then use a Bluetooth mesh network to forward the data to a Wi-Fi access point when necessary.
However, the system is intended to send only relevant data to the cloud. TDK’s smart edge platform infers specific conditions before transmitting that data.
Ease of Integration With Less Engineering
For developers building AI intelligence into a sensor, the process requires several steps, says Tran.“You need to be able to make that algorithm super small for the tiniest memory footprint, for cost and latency,” he said.
He adds that the next step is having AI engineers available to write an algorithm for each deployment, and in some cases, for each kind of sensor device, or equipment that the device is monitoring.
To that end, TDK recently acquired Carnegie Mellon spinoff company Qeexo which created the developer tools that simplifies the process.
A Set of Machine Learning Algorithms
In most cases engineers or developers would need to conduct modeling and coding using C or C++ code in Python—leveraging trained domain experts that understand that data so they can label it. AI engineers can bypass several processes with this technology, however. Using the TDK solution, a sensor can employ any of 18 machine-learning algorithms designed for edge sensing.Developers select the algorithm, convert it to machine code and then download it to a sensor. They then apply the sensor to the machine to begin monitoring the data.
Transforming Manufacturing to Industrial 4.0
“We believe that this type of solution is really needed in order to scale for industrial 4.0,” says Tran.The technology is being adopted by companies such as factories that use smart sensors, as well as by solution providers that license TDK’s tool and create their own edge AI products.
“We're focused on using this tool combined with our devices like the I3 and to really help factories transform themselves into the digital world,” Tran says, adding for him, it’s a way to democratize IoT and AI solutions.
The goal is to make it possible for companies to deploy a solution without hiring outside engineers.
Do-it-Yourself Development
In that way, some companies could develop their IoT solution without needing to hire outside expertise. “They can do it themselves which simplifies everything dramatically,” said David Almoslino, corporate marketing SVP.Last year, Procter and Gamble announced the use of this tool for their product development which the company says reduces the development time of their AI algorithms. They have not shared how they use the technology specifically.
The technology helps companies better manage conditions even at customer sites. For instance, firms that sell or lease equipment used at manufacturing sites can identify problems that could arise. In the case of a break-down, they would have access to troubleshooting data even before service personnel are onsite.
Key Takeaways:
- TDK releases new sensor and software to enable easier, low energy IoT for equipment monitoring.
- Companies such as Procter and Gamble are using TDK’s solution for AI on the edge functionality.
New Technology Aims at Easy, Low Power IoT for Manufacturing
The new BLE-enabled module and software platform from TDK Corporation are part of the company’s drive to make sensor-based equipment monitoring with AI, available to more users.
www.rfidjournal.com
Bravo
If ARM was an arm, BRN would be its biceps💪!
Smart Sensor Market Set to Soar Past USD 125.30 Billion by 2030
The global Smart Sensor market size is expected to reach USD 125.30 billion by 2030 and exhibit a CAGR of 18.1% in the forecast period (2023−2030), according to Skyquest's latest research report. The connectivity and IoT adoption, Industry 4.0 initiatives, demand for real-time data, automation trends, predictive maintenance needs, environmental monitoring, cost reduction strategies, regulatory compliance requirements, advancements in sensor technology, increasing use in healthcare, growth in the automotive sector, rising consumer interest in smart devices, and expansion of smart cities and infrastructure projects is fueling the market's growth.
January 25, 2024 10:00 ET| Source: SkyQuest Technology Consulting Pvt. Ltd.FollowWestford, USA, Jan. 25, 2024 (GLOBE NEWSWIRE) -- According to SkyQuest's latest global research of the Smart Sensor market, miniaturization of sensors, edge computing integration, AI and machine learning applications, increased use of wireless communication, sensor fusion for multi-modal data, growth in wearable sensor technology, expansion of the Internet of Things (IoT), emphasis on energy-efficient sensors, adoption of LiDAR and other 3D sensing technologies, enhanced security and privacy measures, and development of sensors for autonomous vehicles and robotics, are the trends that aid in the market's growth.
Browse in-depth TOC on "Smart Sensor Market"
Browse in-depth TOC on "Smart Sensor Market"
- Pages - 157
- Tables - 65
- Figures - 75
A smart sensor is a sensor that incorporates computation and communication capabilities. It can collect data from its environment, process it, and make decisions based on it, without the need for human intervention. Smart sensors can also communicate with other sensors and devices, to share data and collaborate on tasks.
Get a sample copy of this report:
https://www.skyquestt.com/sample-request/smart-sensor-market
Prominent Players in Smart Sensor Market
Get a sample copy of this report:
https://www.skyquestt.com/sample-request/smart-sensor-market
Prominent Players in Smart Sensor Market
- ABB
- Analog Devices
- Bosch
- Eaton
- GE
- Honeywell
- Infineon
- Microchip
- NXP
- Panasonic
- Qualcomm
- Renesas
- Siemens
- STMicroelectronics
- TE Connectivity
- Texas Instruments
- Würth Elektronik
- Amphenol
- Vishay
- Murata
- TDK
- Omron
- Sensirion
Temperature Sensors Demand to Grow Substantially in the Forecast Period
Temperature sensors dominated the global online market as they find applications in a wide range of industries and use cases, including consumer electronics, automotive, industrial processes, and healthcare. They are vital for monitoring and controlling temperature in various environments and processes.
Browse summary of the report and Complete Table of Contents (ToC):
https://www.skyquestt.com/report/smart-sensor-market
Internet of Things (IoT) Devices is the Leading Application Segment
In terms of application, the Internet of Things (IoT) Devices is the leading segment as they gained widespread adoption across industries, from smart homes to industrial automation and healthcare. IoT devices rely on various sensors to collect data and enable smart decision-making, creating a strong demand for smart sensors.
North America is the leading Market Due to the Technological Advancements
North America is a hub for technological innovation and research and development. Many leading sensor manufacturers and technology companies are based in the United States and Canada. This fosters the development and adoption of cutting-edge smart sensor technologies. The region's advanced infrastructure and strong internet connectivity support the growth of IoT applications, which are major consumers of smart sensors.
A recent report thoroughly analyzes the major players operating within the Smart Sensor market. This comprehensive evaluation has considered several crucial factors, such as collaborations, mergers, innovative business policies, and strategies, providing invaluable insights into the key trends and breakthroughs in the market. Additionally, the report has carefully scrutinized the market share of the top segments and presented a detailed geographic analysis. Finally, the report has highlighted the major players in the industry and their ongoing endeavors to develop innovative solutions that cater to the ever-increasing demand for Smart Sensor.
www.globenewswire.com
Temperature sensors dominated the global online market as they find applications in a wide range of industries and use cases, including consumer electronics, automotive, industrial processes, and healthcare. They are vital for monitoring and controlling temperature in various environments and processes.
Browse summary of the report and Complete Table of Contents (ToC):
https://www.skyquestt.com/report/smart-sensor-market
Internet of Things (IoT) Devices is the Leading Application Segment
In terms of application, the Internet of Things (IoT) Devices is the leading segment as they gained widespread adoption across industries, from smart homes to industrial automation and healthcare. IoT devices rely on various sensors to collect data and enable smart decision-making, creating a strong demand for smart sensors.
North America is the leading Market Due to the Technological Advancements
North America is a hub for technological innovation and research and development. Many leading sensor manufacturers and technology companies are based in the United States and Canada. This fosters the development and adoption of cutting-edge smart sensor technologies. The region's advanced infrastructure and strong internet connectivity support the growth of IoT applications, which are major consumers of smart sensors.
A recent report thoroughly analyzes the major players operating within the Smart Sensor market. This comprehensive evaluation has considered several crucial factors, such as collaborations, mergers, innovative business policies, and strategies, providing invaluable insights into the key trends and breakthroughs in the market. Additionally, the report has carefully scrutinized the market share of the top segments and presented a detailed geographic analysis. Finally, the report has highlighted the major players in the industry and their ongoing endeavors to develop innovative solutions that cater to the ever-increasing demand for Smart Sensor.
Smart Sensor Market Set to Soar Past USD 125.30 Billion by 2030
The global Smart Sensor market size is expected to reach USD 125.30 billion by 2030 and exhibit a CAGR of 18.1% in the forecast period (2023−2030),...
Oh dear!Musk Plans To Buy AMD Chips As Tesla Loads Up On AI Hardware
Musk Plans To Buy AMD Chips As Tesla Loads Up On AI Hardwarewww-ndtvprofit-com.cdn.ampproject.org
Radial ply tyres on a Model T.
https://www.amd.com/content/dam/amd...-docs/white-papers/amd-cdna-3-white-paper.pdf
AMD has pioneered the evolution of system architecture over the last decade to unify CPU and GPU computing at an unparalleled scale. AMD InstinctTM MI250X, at the heart of the first Exascale system, was enabled by the AMD CDNA™ 2 architecture and advanced packaging, as well as AMD Infinity Fabric™, connecting the Instinct GPUs and AMD EPYC 7453s CPU with cache coherence.
...
Last, the AMD Matrix Core Technology is now capable of efficiently handling sparse data to optimize machine learning workloads using matrix INT8, FP8, FP16, BF16. In many neural networks, a high percentage of the data will be zeroes - this is quite common in attention modules in transformer-based networks like most LLMs and also in convolution-based networks. The Matrix Core can take advantage of situations where at least two values within a group of four input values are zero (50%+ sparsity). The sparse non-zero data is represented in a compact and dense form with additional metadata tracking the locations. The dense representation of the data fits directly into the Matrix core pipeline and enables doubling the computational throughput up to an incredible 8K operations per clock for a CU.
Bravo
If ARM was an arm, BRN would be its biceps💪!
AQTRONICS FORMS STRATEGIC ALLIANCE WITH PROPHESEE TO TRANSFORM VISION TECHNOLOGY
Through this partnership, Aqtronics will facilitate the distribution of Prophesee’s cutting-edge sensors and evolution kits in the Indian market
Outlook Start-Up Desk
POSTED ON JANUARY 29, 2024 5:52 PMAqtronics, a semiconductor distribution platform has recently announced its strategic partnership with Prophesee, a pioneering company in the event-based vision systems space.
The partnership will leverage Aqtronics' distribution network and expertise in the Indian market to introduce and launch Prophesee's high-tech event-based vision sensors in India.
Through this partnership, Aqtronics will facilitate the distribution of Prophesee’s cutting-edge sensors and evolution kits in the Indian market, namely the EVK3 with the cutting-edge GenX 320 sensor and the EVK4 HD featuring the Sony IMX636 sensor, the statement added.
The kit represents the pinnacle of vision technology that will eventually transform into an invaluable asset in the domain of IoT, Robotics, Quality Control and Monitoring, Security, and Autonomous systems.
Rangaprasad Magadi of Aqtronics, commented, “This collaboration marks a significant step forward in bringing state-of-the-art event-based vision technology to the Indian market. It is a testament to our commitment to driving innovation and delivering cutting-edge technology solutions to our customers in the industry.”
In the near future, Aqtronics will continue to strengthen this vigorous alliance with Prophesee by entering into partnerships with prominent OEM players in order to package Prophesee’s event-based sensors into camera products for targeting markets like industrial automation, robotics, and security and surveillance, the statement further added.
Ta!Ta! ?AQTRONICS FORMS STRATEGIC ALLIANCE WITH PROPHESEE TO TRANSFORM VISION TECHNOLOGY
Through this partnership, Aqtronics will facilitate the distribution of Prophesee’s cutting-edge sensors and evolution kits in the Indian market
Outlook Start-Up Desk
POSTED ON JANUARY 29, 2024 5:52 PM
Aqtronics, a semiconductor distribution platform has recently announced its strategic partnership with Prophesee, a pioneering company in the event-based vision systems space.
The partnership will leverage Aqtronics' distribution network and expertise in the Indian market to introduce and launch Prophesee's high-tech event-based vision sensors in India.
Through this partnership, Aqtronics will facilitate the distribution of Prophesee’s cutting-edge sensors and evolution kits in the Indian market, namely the EVK3 with the cutting-edge GenX 320 sensor and the EVK4 HD featuring the Sony IMX636 sensor, the statement added.
The kit represents the pinnacle of vision technology that will eventually transform into an invaluable asset in the domain of IoT, Robotics, Quality Control and Monitoring, Security, and Autonomous systems.
Rangaprasad Magadi of Aqtronics, commented, “This collaboration marks a significant step forward in bringing state-of-the-art event-based vision technology to the Indian market. It is a testament to our commitment to driving innovation and delivering cutting-edge technology solutions to our customers in the industry.”
In the near future, Aqtronics will continue to strengthen this vigorous alliance with Prophesee by entering into partnerships with prominent OEM players in order to package Prophesee’s event-based sensors into camera products for targeting markets like industrial automation, robotics, and security and surveillance, the statement further added.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Your welcome
Is that ta ta as in thank you ... or as in goodbye?
Do they make USB dongles?
Dougie54
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Aqtronics Technologies Private Limited ,Karnataka - Electrical Electronics | Tata nexarc
Manufacturing, Distribution, Trading, and catalog distributors for Electronic components/semiconductors throughout India
Dougie54
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