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Artificial intelligence

Platform combines low-power SoC with energy-efficient AI software

December 15, 2020 By Lee Teschler

The Katana Edge AI platform addresses a growing industry gap for solutions that enable battery powered devices for consumer and industrial IoT markets. The platform combines Synaptics’ proven low-power SoC architecture with energy-efficient AI software, enabled by a partnership with Eta Compute. The Katana solution is optimized for a wide range of ultra-low power use […]

Filed Under: Applications, Artificial intelligence, Microcontroller Tips

Software platform handles edge AI development, deployment, management tasks

December 11, 2020 By Redding Traiger

Blaize fully unveiled the Blaize AI Studio offering, the industry’s first open and code-free software platform to span the complete edge AI operational workflow from idea to development, deployment, and management. AI Studio dramatically reduces edge AI application deployment complexity, time, and cost by breaking the barriers within existing application development and machine learning operations […]

Filed Under: Applications, Artificial intelligence, Microcontroller Tips Tagged With: blaize

IDE offers pushbutton approach to edge AI development

December 1, 2020 By Redding Traiger

Cartesiam announced the availability of NanoEdge AI Studio V2, the first integrated development environment (IDE) that simplifies the creation of machine learning, inference, and now classification libraries for direct implementation on Arm Cortex-M microcontrollers (MCUs). Thousands of commercially available industrial IoT (IIoT) embedded devices are already in production with NanoEdge AI Studio V1 for anomaly detection. With […]

Filed Under: Applications, Artificial intelligence, Microcontroller Tips Tagged With: cartesiam

RISC-V is growing and offers stability, scalability and security

November 30, 2020 By Jeff Shepard

RISC-V is growing rapidly. Semico Research has projected that 62.4 billion RISC-V CPU cores will be sold in 2025. While that’s only about 6% of the overall CPU core market, RISC-V is an emerging technology that most designers should follow and become increasingly familiar with. RISC-V is becoming more commercially attractive as a result of […]

Filed Under: Applications, AR/VR, Artificial intelligence, Embedded, FAQ, Featured, Machine Learning, Microcontroller Tips, Software, Wearables Tagged With: FAQ

Reference design speeds MCU-based Alexa-Built-in products

November 17, 2020 By Redding Traiger

STMicroelectronics has released an Amazon-qualified reference design package for smart connected devices leveraging Alexa Voice Service (AVS) Integration for AWS IoT Core, which can be used to create Alexa Built-in products using simple microcontrollers (MCUs). AVS Integration for AWS IoT Core has the ability to transform the way users interact with smart “things,” bringing cloud-based Alexa experiences to items […]

Filed Under: Applications, Artificial intelligence, Microcontroller Tips Tagged With: STMicroelectronics

Embedded FPGA IP works on 28-nm FD–SOI-based ICs

October 29, 2020 By Redding Traiger

QuickLogic Corporation announced the availability of its ArcticPro 3 embedded FPGA (eFPGA) IP, which is now available on Samsung’s 28nm FD–SOI process, enabling OEMs and semiconductor companies to seamlessly integrate the capability of discrete FD-SOI FPGAs into their own ASICs/SoCs, greatly optimizing system performance, power consumption and cost for Edge AI use cases in consumer, IoT, and automotive […]

Filed Under: Applications, Artificial intelligence, Connectivity, Consumer, IoT, Microcontroller Tips Tagged With: quicklogic

Motor-control MCUs include AI-based failure detection, predictive maintenance

October 28, 2020 By Redding Traiger

Renesas Electronics Corporation announced the extension of its microcontroller (MCU) portfolio designed for motor control applications targeting smart homes, industrial automation, and building automation. Featuring a rich set of peripheral functions and AI-based failure detection, the four new RA6T1 Group MCUs are the latest members of Renesas’ rapidly expanding Arm-based RA Family, and the first […]

Filed Under: Applications, Artificial intelligence, Connectivity, Power Electronic Tips Tagged With: renesaselectronicscorp

World’s First 16-Gb DDR5 DRAM supports transfer rates up to 5,600 Mbps

October 7, 2020 By Redding Traiger

SK hynix Inc. announced to launch the world’s first DDR5 DRAM. It is a high-speed and high-density product optimized for Big Data, Artificial Intelligence (AI), and machine learning (ML) as a next generation standard of DRAM. Since SK hynix announced the development of the World’s First 16 Gigabit (Gb) DDR5 DRAM in November 2018, the […]

Filed Under: Applications, Artificial intelligence, Machine Learning, Microcontroller Tips Tagged With: jedec, SK Hynix

4U GPU system delivers 6x AI training performance, 7x inference workload capacity

October 7, 2020 By Redding Traiger

Super Micro Computer, Inc., announced the doubling of GPU capabilities with a new 4U server supporting eight NVIDIA HGX A100 GPUs. Supermicro offers the industry’s broadest portfolio of GPU systems spanning 1U, 2U, 4U, and 10U GPU servers and SuperBlade servers over a wide range of customizable configurations. Supermicro now offers the industry’s widest and […]

Filed Under: Applications, Artificial intelligence, Microcontroller Tips Tagged With: supermicrocomputerinc

Rugged GPGPU AI supercomputer handles harsh conditions in mobile, remote, military, autonomous apps

October 1, 2020 By Redding Traiger

Aitech Systems has released an upgraded, qualified version of its high performance, compact A178. Designed for intense data processing in extreme environments, the rugged GPGPU AI supercomputer reliably operates in the harsh conditions found throughout mobile, remote, military, and autonomous platforms. The A178 system is ideal for applications such as training simulation, situational awareness, AI […]

Filed Under: Aerospace & Defense, Applications, Artificial intelligence, Microcontroller Tips Tagged With: aitech, aitechsystems

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