Latest from MIT Tech Review – The second wave of AI coding is here

Ask people building generative AI what generative AI is good for right now—what they’re really fired up about—and many will tell you: coding.  “That’s something that’s been very exciting for developers,” Jared Kaplan, chief scientist at Anthropic, told MIT Technology Review this month: “It’s really understanding what’s wrong with code, debugging it.” Copilot, a tool…

Latest from MIT : Explained: Generative AI’s environmental impact

In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A second piece will investigate what experts are doing to reduce genAI’s carbon footprint and other impacts. The excitement surrounding potential benefits of generative AI, from improving worker productivity to advancing scientific…

Latest from MIT : Algorithms and AI for a better world

Amid the benefits that algorithmic decision-making and artificial intelligence offer — including revolutionizing speed, efficiency, and predictive ability in a vast range of fields — Manish Raghavan is working to mitigate associated risks, while also seeking opportunities to apply the technologies to help with preexisting social concerns. “I ultimately want my research to push towards…

Latest from MIT : Making the art world more accessible

In the world of high-priced art, galleries usually act as gatekeepers. Their selective curation process is a key reason galleries in major cities often feature work from the same batch of artists. The system limits opportunities for emerging artists and leaves great art undiscovered. NALA was founded by Benjamin Gulak ’22 to disrupt the gallery…

Latest from MIT Tech Review – Meta’s new AI model can translate speech from more than 100 languages

Meta has released a new AI model that can translate speech from 101 different languages. It represents a step toward real-time, simultaneous interpretation, where words are translated as soon as they come out of someone’s mouth.  Typically, translation models for speech use a multistep approach. First they translate speech into text. Then they translate that…

Latest from MIT : New computational chemistry techniques accelerate the prediction of molecules and materials

Back in the old days — the really old days — the task of designing materials was laborious. Investigators, over the course of 1,000-plus years, tried to make gold by combining things like lead, mercury, and sulfur, mixed in what they hoped would be just the right proportions. Even famous scientists like Tycho Brahe, Robert…

Latest from MIT Tech Review – Training robots in the AI-powered industrial metaverse

Imagine the bustling floors of tomorrow’s manufacturing plant: Robots, well-versed in multiple disciplines through adaptive AI education, work seamlessly and safely alongside human counterparts. These robots can transition effortlessly between tasks—from assembling intricate electronic components to handling complex machinery assembly. Each robot’s unique education enables it to predict maintenance needs, optimize energy consumption, and innovate…

Latest from MIT Tech Review – Here’s our forecast for AI this year

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In December, our small but mighty AI reporting team was asked by our editors to make a prediction: What’s coming next for AI?  In 2024, AI contributed both to Nobel Prize–winning…

Latest from MIT : Q&A: The climate impact of generative AI

Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the artificial intelligence systems that run on them, more efficient. Here, Gadepally discusses the increasing use of generative AI in everyday tools, its hidden environmental impact, and some…