AI

Nova Forge lets Amazon’s customers train frontier models for different tasks—a potential breakthrough in making AI actually useful for businesses.

As Google and Microsoft continue to surge, the AWS chief lays out his pitch: cheaper, reliable AI delivered at hyperscale.

Norway is the world’s largest producer of farmed Atlantic salmon and a top exporter of seafood, while the United States remains the largest importer of these products, according to the Food and Agriculture Organization. Two MIT students recently traveled to Trondheim, Norway to explore the cutting-edge technologies being developed and deployed in offshore aquaculture.  Beckett

Advancements in battery innovation are transforming both mobility and energy systems alike, according to Kurt Kelty, vice president of battery, propulsion, and sustainability at General Motors (GM). At the MIT Energy Initiative (MITEI) Fall Colloquium, Kelty explored how GM is bringing next-generation battery technologies from lab to commercialization, driving American battery innovation forward. The colloquium

“MIT hasn’t just prepared me for the future of work — it’s pushed me to study it. As AI systems become more capable, more of our online activity will be carried out by artificial agents. That raises big questions: How should we design these systems to understand our preferences? What happens when AI begins making

It turns out all the guardrails in the world won’t protect a chatbot from meter and rhyme.

This post was written with Martyna Shallenberg and Brode Mccrady from Myriad Genetics. Healthcare organizations face challenges in processing and managing high volumes of complex medical documentation while maintaining quality in patient care. These organizations need solutions to process documents effectively to meet growing demands. Myriad Genetics, a provider of genetic testing and precision medicine solutions

This post was written with Lokesha Thimmegowda, Muppirala Venkata Krishna Kumar, and Maraka Vishwadev of CBRE. CBRE is the world’s largest commercial real estate services and investment firm. The company serves clients in more than 100 countries and offers services ranging from capital markets and leasing advisory to investment management, project management and facilities management.

Modern AI applications demand fast, cost-effective responses from large language models, especially when handling long documents or extended conversations. However, LLM inference can become prohibitively slow and expensive as context length increases, with latency growing exponentially and costs mounting with each interaction. LLM inference requires recalculating attention mechanisms for the previous tokens when generating each