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Kinara Aims Its Tiny Ara-2 Processor at Big Generative Edge AI Workloads

Kinara Aims Its Tiny Ara-2 Processor at Big Generative Edge AI Workloads

Boasting a cost-effective approach, today Kinara is rolling out its new edge AI processor designed to take on the demanding workloads brought on by generative AI.


News Dec 12, 2023 by Jake Hertz
ST Releases Free AI Development Tool for All ST Cortex-M Devices

ST Releases Free AI Development Tool for All ST Cortex-M Devices

STMicroelectronics has announced new AI software libraries for unlimited deployment on any STM32 microcontroller—free of charge.


News Dec 11, 2023 by Duane Benson
I’m Thankful for These 6 EE Online Resources on All About Circuits

I’m Thankful for These 6 EE Online Resources on All About Circuits

On Thanksgiving today, Jeff reflects on how electronics technology enables all our amazing devices, and shares six useful All About Circuits online resources to be thankful for.


News Nov 23, 2023 by Jeff Child
Arm Releases the Cortex-M52 Aimed At Low-Power Embedded AI

Arm Releases the Cortex-M52 Aimed At Low-Power Embedded AI

Rounding out its portfolio, the latest Arm processor—announced today—sports AI performance in low-power silicon.


News Nov 22, 2023 by Aaron Carman
32-bit MCUs Handle Heavy ML Workloads on Battery-Operated IoT Devices

32-bit MCUs Handle Heavy ML Workloads on Battery-Operated IoT Devices

Alif claims its new Ensemble line of microcontrollers efficiently processes heavy machine learning workloads on battery-powered devices.


News Nov 13, 2023 by Arjun Nijhawan
RISC-V Rollouts Abound at This Week’s North America RISC-V Summit

RISC-V Rollouts Abound at This Week’s North America RISC-V Summit

Reporting a “banner year” for adoption, these RISC-V developments show the versatility of the ISA.


News Nov 10, 2023 by Aaron Carman
FPGA Advances Tackle Mounting Data Demands From E-Trading to AI Processing

FPGA Advances Tackle Mounting Data Demands From E-Trading to AI Processing

In this roundup, we discuss how AMD, Intel, and Lattice Semiconductor are pushing the boundaries of FPGAs with new offerings.


News Nov 06, 2023 by Jake Hertz
Renesas Unveils Industry’s First MCUs Based on Arm Cortex-M85 Core

Renesas Unveils Industry’s First MCUs Based on Arm Cortex-M85 Core

The new family of devices aims to bridge the gap between low-power MCUs and high-performance MPUs.


News Oct 31, 2023 by Jake Hertz
Improving Battery Life in IoT Smart Camera Designs

Improving Battery Life in IoT Smart Camera Designs

The wireless connectivity side eats up a huge portion of the power budget in an IoT smart home security camera design. Learn how to keep power low as smart cameras add more processing intelligence.


New Event-Based Vision Sensor Deemed ‘Smallest and Most Power-Efficient’

New Event-Based Vision Sensor Deemed ‘Smallest and Most Power-Efficient’

The event-based sensor mimics how the eyes and brain process images to overcome the barriers of conventional frame-based machine vision.


News Oct 20, 2023 by Jake Hertz
Nvidia Targets Generative AI for Robotics with New Frameworks

Nvidia Targets Generative AI for Robotics with New Frameworks

At ROSCon 2023 this week, the release of the Metropolis and Isaac ROS 2.0 frameworks makes AI-powered robotics more practical and easier to develop.


News Oct 19, 2023 by Aaron Carman
SiFive Rolls Out RISC-V Cores Aimed at Generative AI and ML

SiFive Rolls Out RISC-V Cores Aimed at Generative AI and ML

SiFive has released two new processors, one to target machine learning applications, and one to target general-purpose HPC.


News Oct 16, 2023 by Jake Hertz
Semidynamics and Signature IP Expand Multi-Core RISC-V and CHI Options

Semidynamics and Signature IP Expand Multi-Core RISC-V and CHI Options

Two relatively new players in the CPU world, Semidynamics and Signature IP, have announced multi-core RISC-V and CHI interconnect IP for compute-intensive applications like AI/ML.


News Oct 09, 2023 by Duane Benson
System Challenges of Generative AI Inference Acceleration

System Challenges of Generative AI Inference Acceleration

When you look under the hood of generative AI processing, the system design challenges are many. Learn how efficiency, power consumption, and memory issues all come into play.


Intel Develops Glass Substrate for Next Gen Advanced Chip Packaging Needs

Intel Develops Glass Substrate for Next Gen Advanced Chip Packaging Needs

Intel has unveiled new glass substrate technology for large chiplet based system-in-package chips. Glass substrates allow for denser packing of chiplets—an important for applications like AI and others.


News Sep 25, 2023 by Duane Benson
CPU Designer Jim Keller Rethinks RISC-V AI Processing at Tenstorrent

CPU Designer Jim Keller Rethinks RISC-V AI Processing at Tenstorrent

Hailed for his historic microprocessor designs at AMD, Apple, and Broadcom, Jim Keller is onto his next CPU endeavor at Tenstorrent.


News Sep 19, 2023 by Jake Hertz
Development Boards Built to Kick Start Automotive, Edge AI, & IoT Design

Development Boards Built to Kick Start Automotive, Edge AI, & IoT Design

Renesas, Infineon, Edge Impulse, and AnalogLamb have released boards and kits—all with the goal of accelerating development cycles in embedded systems.


News Sep 16, 2023 by Abdulwaliy Oyekunle
AI Networking Chip Startup, Enfabrica, Receives $125 Million in Series B Funding

AI Networking Chip Startup, Enfabrica, Receives $125 Million in Series B Funding

With Nvidia now added to its list of strategic investors, Enfabrica has opened pre-orders on systems using its AI era fabric switch IC


News Sep 15, 2023 by Duane Benson
Generative AI Startup Shows Off Digital In-Memory Computing Platform

Generative AI Startup Shows Off Digital In-Memory Computing Platform

Offering improved performance and lower operating costs, D-Matrix’s newest platform presents a clear path forward to scale data center AI.


News Sep 14, 2023 by Aaron Carman
How Will Angstrom-Scale Chips Advance the Electronics Industry?

How Will Angstrom-Scale Chips Advance the Electronics Industry?

Angstrom-scale ICs will require innovation across the entire semiconductor ecosystem: This will include advances in both the hardware (transistors, power distribution, and connection of multi-die systems) and tools (EDA tools with AI/ML and silicon life-cycle management).