AI

The on-board Meta AI agent can now set a reminder to buy whatever the camera is pointed at, among other enhancements.

Meta’s AI assistants can now talk and see the world. The company is also releasing the multimodal Llama 3.2, a free model with visual skills.

A compact and fully open source visual AI model will make it easier for AI to take control of your computer—hopefully in a good way.

Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents. The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). These FMs, with simple instructions (prompts), can perform various tasks such as drafting emails,

This post is co-written with Vraj Shah and Chaitanya Hari from DoorDash. DoorDash connects consumers with their favorite local businesses in more than 30 countries across the globe. Recently, they faced a significant challenge in handling the high volume of calls from its contractor delivery workers, known as Dashers. With a user base of over

This post is co-written with Deepali Rajale from Karini AI. Karini AI, a leading generative AI foundation platform built on AWS, empowers customers to quickly build secure, high-quality generative AI apps. GenAI is not just a technology; it’s a transformational tool that is changing how businesses use technology. Depending on where they are in the

Microsoft’s deal to bring back a Three Mile Island nuclear reactor is just one part of Big Tech’s quid pro quo with nuclear power.

Fifteen technologies developed either wholly or in part by MIT Lincoln Laboratory have been named recipients of 2024 R&D 100 Awards. The awards are given by R&D World, an online publication that serves research scientists and engineers worldwide. Dubbed the “Oscars of Innovation,” the awards recognize the 100 most significant technologies transitioned to use or introduced into the

The climate crisis is one of the greatest challenges facing our world today. Its impacts are far-reaching, affecting every aspect of our lives—from public health and food security to economic stability and social justice. What’s more, the effects of climate change disproportionately burden the world’s most vulnerable populations, exacerbating existing inequities around gender, race, and

AI systems are increasingly being deployed in safety-critical health care situations. Yet these models sometimes hallucinate incorrect information, make biased predictions, or fail for unexpected reasons, which could have serious consequences for patients and clinicians. In a commentary article published today in Nature Computational Science, MIT Associate Professor Marzyeh Ghassemi and Boston University Associate Professor Elaine