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How to Build a Variational Autoencoder with TensorFlow

Learn the key parts of an autoencoder, how a variational autoencoder improves on it, and how to build and train a variational autoencoder using TensorFlow.

19 hours ago by Henry Ansah Fordjour

Google Proposes AI as Solution for Speedier AI Chip Design

One of the trickiest aspects of chip design is figuring out how to pack more circuitry into a smaller footprint while maintaining power, speed, and energy efficiency.

one day ago by Luke James

Using MI and AI to Better Understand Spin Models

Scientists at Tokyo Metropolitan University (TMU) have used machine learning to explore spin models that are used in physics to explore phase transitions.

2 days ago by Luke James

Portable AI Device Used to Gather Health Data for Predicting Pandemics

Researchers at University of Massachusetts Amherst have invented a portable surveillance device powered by machine learning.

March 26, 2020 by Luke James

FPGAs Are More Accessible to Non-FPGA Specialists Than Ever Before

FPGAs pose a major drawback: they require the expertise of highly specialized (and scarce) engineers trained to work with FPGAs. Three companies have set out to change that.

March 26, 2020 by Gary Elinoff

AI Devices Are Helping Us Stay One Step Ahead of COVID-19

A number of companies are pumping out new edge AI technology—none of which explicitly state pandemic prediction or healthcare assistance as a use case. But with the overwhelming number of COVID-19 cases, might this new technology be used to that end?

March 25, 2020 by Gary Elinoff

China Deploys 5G Patrol Robots to Monitor the Spread of the Coronavirus

From using drones to scold citizens for not wearing masks in public to deploying robot assistants in hospitals to deliver medical goods and conduct disinfection operations, China has been using a largely tech-led approach to tackle its coronavirus outbreak.

March 23, 2020 by Luke James

How the Military Is Increasingly Investing in AI-Powered and Autonomous Technology

As artificial intelligence seemingly worms its way into applications across all industries, from consumer electronics to healthcare, governments around the world are starting to invest more in an area where AI could be a gamechanger: military hardware and technology.

March 21, 2020 by Luke James

A New Arm-Based Carrier Board Nods to a Shift Toward Off-the-Shelf Hardware

Arm processors are dominated by proprietary design. But a new adaptable 3.5-inch carrier board highlights the virtues of commercial-off-the-shelf systems.

March 19, 2020 by Sophia Valente

How Fast Can a Neural Network Chip Recognize Images? TU Wien Says Mere Nanoseconds

Researchers at TU Wien are at last addressing the need for instantaneous image recognition.

March 18, 2020 by Robin Mitchell

Can You Teach a Chip to Smell?

Researchers at Intel and Cornell University are bringing the "science of smell" down to the silicon level.

March 17, 2020 by Lisa Boneta

Osaka University Develops an FPGA Computing Device for Maximal Optimization of AI Tasks

Osaka University researchers have built a new device that can be customized by the user for maximum efficiency in AI applications.

March 13, 2020 by Luke James

“Any Core, Any Cloud” : Microchip Releases a Host of Dev Tools for Fast IoT Prototyping

Complex IoT environments can slow down the prototyping process. Microchip wants to pick up the pace with cloud-agnostic solutions.

March 11, 2020 by Hannah DeTavis

What Distinguishes an MCU from a DSP? ST’s Microcontroller Straddles the Line

What does a chip have to do these days to qualify for the “digital signal processor” category?

March 05, 2020 by Robert Keim

Data Centers Are Overloaded. The Inventor of FPGAs Is Swooping In With a “Comprehensive” SmartNIC

The FPGA-based SmartNIC arena—including giants like Microsoft and Intel—just got more interesting. Enter the inventor of FPGAs.

March 04, 2020 by Gary Elinoff

UK-Based XMOS Introduces AI Processor Designed Specifically for AIoT Applications

XMOS, a company that made headlines for developing the highest performing voice interface for under a dollar, unveils xcore.ai – the fast, flexible, and economical processor designed specifically for the AIoT market.

March 01, 2020 by Luke James

IC Breakthroughs: Energy Harvesting, Quantum Computing, and a 96-Core Processor in Six Chiplets

Research institute CEA-Leti is developing techniques to increase the power of semiconductors—with energy-harvesting ICs, a quantum IC that combines quantum dot with digital-analog circuits, and an "active interposer."

February 29, 2020 by Robin Mitchell

Arm Cortex-M MCUs Can Get an Instant Machine Learning and Inference Facelift with NanoEdge AI

Cartesiam's NanoEdge AI Studio simplifies the task of integrating machine learning directly into everyday edge devices that are based on Arm Cortex-M MCUs.

February 26, 2020 by Gary Elinoff

NXP i.MX Applications Processors | New Product Brief

This New Product Brief (NPB) is part of a video series highlighting the features, applications, and technical specs of newly-released products.

February 24, 2020 by Mouser Electronics

Eta Compute Start-Up Goes Commercial With SNNs Developed AI Chips

Eta Compute made headlines in 2018 with its neural networks that train themselves, and now the company has come to market with its AI chips that aim to provide AI to “edge” devices such as IoT sensors, battery-powered cameras, and more.

February 21, 2020 by Luke James