October 11, 2019
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…
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October 11, 2019
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.
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June 5, 2019
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.
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April 2, 2019
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
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March 21, 2019
Kicking Neural Network Design Automation into High Gear
Rob Matheson | MIT News Office MIT researchers have developed an efficient algorithm that could provide a “push-button” solution for automatically designing fast-running neural…
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March 1, 2019
Securing the “Internet of Things” in the Quantum Age
Rob Matheson | MIT News Office Efficient chip enables low-power devices to run today’s toughest quantum encryption schemes.
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January 16, 2019
Fortifying the Future of Cryptography
Rob Matheson | MIT News Office Vinod Vaikuntanathan is using number theory and other mathematical concepts to fortify encryption so it can be used for new applications and stand…
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February 5, 2018
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…
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