From MIT to IBM, expediting AI and quantum deployment
MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.
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artificial intelligence
System helps humans predict when self-driving cars will make mistakes
A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.
Read MoreWalter Torous named executive director of MIT Center for Real Estate
The senior lecturer, already director of the degree program, will now oversee all aspects of the center’s activities and operations.
Read MoreIla Kumar: Innovating with communities
The PhD student works to give young people an active role in shaping digital technologies that can support their own well-being.
Read MoreMIT Quantum Initiative launches postdoctoral fellowship program
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
Read MoreHow an MIT research project became a global programming language
With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.
Read MoreLooking beyond natural sequences
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Read MoreAI helps design new materials that work in the real world
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
Read MoreGenerating scenarios for extreme events, without extreme data
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
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Case Study: Instacart Physical AI in Retail
Instacart’s Caper Cart transforms grocery shopping by integrating physical AI technology, enabling real-time data collection and personalized experiences. Equipped with multiple sensors and cameras, the cart enhances store operations by interpreting shopper behavior and optimizing inventory management. This shift from digital to a continuously monitored physical retail environment offers significant operational and revenue opportunities.
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