AI

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

As enterprises rapidly adopt AI agents to automate workflows and enhance productivity, they face a critical scaling challenge: managing secure access to thousands of tools across their organization. Modern AI deployments no longer involve a handful of agents calling a few APIs—instead, enterprises are building unified AI platforms where hundreds of agents, consumer AI applications,

This post is co-written with Bob Boiko, Christopher Donnellan, and Sarat Tatavarthi from Condé Nast. For over a century, Condé Nast has stood at the forefront of global media, shaping culture and conversation through its prestigious portfolio of brands. Founded in 1909, the company has evolved from a traditional publisher into a modern media powerhouse.

Organizations are increasingly seeking to enhance customer experiences through natural, responsive voice interactions across their telephony systems. Amazon Nova Sonic addresses this need as a speech-to-speech generative AI model that delivers real-time voice conversations with low latency and natural turn-taking. It understands speech across different accents and speaking styles, responds with expressive voices in multiple