AI Algorithms Are Slimming Down to Fit in Your Fridge
Will Knight | Wired Magazine
Artificial intelligence programs typically are power guzzlers. New research shows how to generate computer vision from a simple, low-power chip.
Faster Video Recognition for the Smartphone Era
Kim Martineau | MIT Quest for Intelligence
A new technique for training video recognition models is up to three times faster than current state-of-the-art methods while improving runtime performance on mobile devices.
Powerful Computer Vision Algorithms are Now Small Enough to Run on Your Phone
Karen Hao | MIT Technology Review
Researchers have shrunk state-of-the-art computer vision models to run on low-power devices.
Chip Design Drastically Reduces Energy Needed to Compute with Light
Rob Matheson | MIT News Office
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Using AI to Make Better AI
Mark Anderson | IEEE Spectrum
New approach brings faster, AI-optimized AI within reach for image recognition and other applications
Lightmatter Aims to Reinvent AI-specific Chips with Photonic Computing and $11M in Funding
Devin Coldewey | TechCrunch
It takes an immense amount of processing power to create and operate the “AI” features we all use so often, from playlist generation to voice recognition.