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News

An AI that "de-biases" algorithms

CSAIL’s “de-biasing” framework can make face-detection systems less racist

News

New AI start-up Sentient collaborated with CSAIL on medical data analysis

This past week the AI company Sentient Technologies LLC emerged with $103.5 million in new funding.CSAIL researchers that include Una-May O'Reilly have been part of regular collaborations with Sentient on medical-data analysis work related to sepsis, a form of inflammation brought about by infection.From the Wall Street Journal:

News

Toward video generative models of the molecular world

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

News

Better fact-checking for fake news

New research reveals biases in fake news datasets and improves the use of automatic detectors.

News

Advancing urban tree monitoring with AI-powered digital twins

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

News

New method efficiently safeguards sensitive AI training data

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

News

HPI-MIT design research collaboration creates powerful teams

Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.

News

MIT continues AI collaboration with Toyota Research Institute

The Toyota Research Institute (TRI) announced today that it will be extending its AI research collaboration with MIT. TRI, which also has existing relationships with Stanford and the University of Michigan, has selected 13 additional academic institutions to participate in the next five-year phase of its research initiative.

News

How the MIT mini-cheetah learns to run fast

Scientists came up with a learning pipeline for the MIT Mini-Cheetah that learns to run entirely by trial and error in simulation

News

Shrinking deep learning’s carbon footprint

Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
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MIT CSAIL

Massachusetts Institute of Technology

Computer Science & Artificial Intelligence Laboratory

32 Vassar St, Cambridge MA 02139

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MIT Schwarzman College of Computing