June 2, 2021
Accelerating AI at the Speed of Light
Daniel de Wolff | MIT Startup Exchange Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
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March 26, 2021
Toward Brain-inspired, Energy-efficient Chips
Monday, March 26, 2021 | 12pm - 1pm EST Panel Discussion: Bilge Yildiz, Michale Fee, Jesus del Alamo, Ju Li, Aude Oliva
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March 10, 2021
Using Artificial Intelligence to Generate 3D Holograms in Real-time
Daniel Ackerman | MIT News Office Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing.
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February 24, 2021
IBM Analog Hardware Acceleration Kit: A Flexible and Fast PyTorch Toolkit for Simulating ANN Training and Inference on Resistive Crossbar Arrays
Wednesday, February 24, 2021 Speaker: Malte Rasch, IBM
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December 13, 2020
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.
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December 1, 2020
Shrinking Massive Neural Networks Used to Model Language
Daniel Ackerman | MIT News Office Researcher Jonathan Frankle and his “lottery ticket hypothesis” posits that, hidden within massive neural networks, leaner subnetworks can…
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November 13, 2020
System Brings Deep Learning to “Internet of Things” Devices
Daniel Ackerman | MIT News Office Deep learning is everywhere. This branch of artificial intelligence curates your social media and serves your Google search results.
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August 7, 2020
Shrinking Deep Learning’s Carbon Footprint
Kim Martineau | MIT Quest for Intelligence In June 2020, OpenAI unveiled the largest language model in the world, a text-generating tool called GPT-3 that can write creative…
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June 8, 2020
Engineers Put Tens of Thousands of Artificial Brain Synapses on a Single Chip
Jennifer Chu | MIT News Office MIT engineers have designed a “brain-on-a-chip,” smaller than a piece of confetti, that is made from tens of thousands of artificial brain synapses…
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April 30, 2020
A Foolproof Way to Shrink Deep Learning Models
Kim Martineau | MIT Quest for Intelligence MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results…
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