2020-05-29 - Kneron

How Edge AI Can Be a Driver for Green Technology

The world needs to go green fast, and edge AI technology can help––if it manages to leap a few hurdles.

2020-05-25 - Yole Développement

AI Computing for Automotive: The Battle for Autonomy

The 2025 market for AI, including ADAS and robotic vehicles, is estimated at $2.75 billion – of which $2.5 billion…

- Adam Scraba

Welcome to the Era of Real-Time AI

Real-time AI has computing requirements that can’t be met by CPUs and GPUs...

2020-05-15 - Dennis Goldenson

Edge Intelligence: When Edge Computing Meets AI

Edge computing provides an opportunity to turn AI data into real-time value across almost every industry.

2020-04-23 - Anne-Françoise Pelé

Neuromorphic Vision Sensors Bring Autonomy Closer to Reality

Why do we call an event-based vision sensor “neuromorphic”? Because each pixel is a neuron, and it makes sense to…

2020-04-16 - Sally Ward-Foxton

Hardware-Software Co-Design to Accelerate Binarized Neural Networks

BNNs, on threshold of commercialization, will drastically reduce model memory footprint for endpoint applications...

2020-04-15 - Sally Ward-Foxton

Neuromorphic Computing vs AI Chips: Compete or Complement?

Both AI and neuromorphic computing run neural networks, but it doesn’t necessarily follow that they will go head-to-head.

2019-12-13 - Nitin Dahad

New Breakthroughs Presented by Leti

New breakthroughs in embedded memories and AI, RF, quantum computing and energy storage.

2019-04-22 - Sally Ward-Foxton

Are GPU Limitations Slowing Innovation?

GPUs are widely used to accelerate AI computing, but are the limitations of GPU technology slowing down innovation in the…

2019-04-09 - Rick Merritt

AI Research Targets Nvidia V100

UT Austin says a chip it has developed can, in simulations, beat the V100 on training neural nets. The claim…