Crossing the Hardware-Software Divide for Faster AI
Thursday, April 29, 2021 | 12pm - 1pm ET
Panel Discussion: Vivienne Sze, Song Han, Aude Oliva
Q&A: Vivienne Sze on Crossing the Hardware-Software Divide for Efficient Artificial Intelligence
Kim Martineau | MIT Quest for Intelligence
Vivienne Sze part of the pioneering team that won an Engineering Emmy Award for co-designing energy-efficient circuits with energy-efficient algorithms and developing the video compression standards still in use today, has set her sights on a new milestone: bringing artificial intelligence applications to smartphones and tiny robots.
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.
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.