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.
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…
Welcome to the Era of Real-Time AI
Real-time AI has computing requirements that can’t be met by CPUs and GPUs...
Edge Intelligence: When Edge Computing Meets AI
Edge computing provides an opportunity to turn AI data into real-time value across almost every industry.
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…
Hardware-Software Co-Design to Accelerate Binarized Neural Networks
BNNs, on threshold of commercialization, will drastically reduce model memory footprint for endpoint applications...
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.
New Breakthroughs Presented by Leti
New breakthroughs in embedded memories and AI, RF, quantum computing and energy storage.
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…
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…