AI

MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher, and educator who has studied psychology and used online learning tools to teach herself coding and other skills. She’s a soft-spoken observer, with a keen interest in how people use space and respond to their environments. Combining her observational skills with active community engagement, […]

During his first year at MIT in 2021, Matthew Caren ’25 received an intriguing email inviting students to apply to become members of the MIT Schwarzman College of Computing’s (SCC) Undergraduate Advisory Group (UAG). He immediately shot off an application. Caren is a jazz musician who majored in computer science and engineering, and minored in music

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle. This “position bias” means that, if a lawyer is using an LLM-powered virtual assistant to retrieve a certain phrase in a 30-page affidavit, the LLM is more likely to

This post is co-written with Vicky Andonova and Jonathan Karon from Anomalo. Generative AI has rapidly evolved from a novelty to a powerful driver of innovation. From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are expanding at an increasing pace. While large language models (LLMs) continue to push new boundaries, quality

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Data analysts must translate business questions into SQL queries, creating workflow bottlenecks. Amazon Bedrock Knowledge Bases enables direct natural language interactions with structured data sources.

On May 6, MIT AgeLab’s Advanced Vehicle Technology (AVT) Consortium, part of the MIT Center for Transportation and Logistics, celebrated 10 years of its global academic-industry collaboration. AVT was founded with the aim of developing new data that contribute to automotive manufacturers, suppliers, and insurers’ real-world understanding of how drivers use and respond to increasingly

This is a joint post co-authored with Harsh Vardhan, Global Head, Digital Innovation Hub, Apollo Tyres Ltd. Apollo Tyres, headquartered in Gurgaon, India, is a prominent international tire manufacturer with production facilities in India and Europe. The company advertises its products under its two global brands: Apollo and Vredestein, and its products are available in

This blog post is co-written with Jacky Leybman from PagerDuty. As organizations scale their digital operations, they face unprecedented challenges in managing and extracting value from their vast data ecosystems, particularly when it comes to data accessibility and quality. The complexity of modern IT operations demands solutions that can efficiently integrate, process, and deliver actionable