Latest from MIT : An anomaly detection framework anyone can use

Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning systems more accessible, transparent, and trustworthy. Alnegheimish is a PhD student in Principal Research Scientist Kalyan Veeramachaneni’s Data-to-AI group in MIT’s Laboratory for Information and Decision Systems (LIDS). Here, she commits most of her energy…

Latest from MIT : Rationale engineering generates a compact new tool for gene therapy

Scientists at the McGovern Institute for Brain Research at MIT and the Broad Institute of MIT and Harvard have re-engineered a compact RNA-guided enzyme they found in bacteria into an efficient, programmable editor of human DNA.  The protein they created, called NovaIscB, can be adapted to make precise changes to the genetic code, modulate the…

Latest from MIT Tech Review – The AI Hype Index: College students are hooked on ChatGPT

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. Large language models confidently present their responses as accurate and reliable, even when they’re neither of those things. That’s why we’ve recently seen…

Latest from MIT : Building networks of data science talent

The rise of artificial intelligence resurfaces a question older than the abacus: If we have a tool to do it for us, why learn to do it ourselves?  The answer, argues MIT electrical engineering and computer science (EECS) Professor Devavrat Shah, hasn’t changed: Foundational skills in mathematics remain essential to using tools well, from knowing…

O’Reilly Media – MCP: What It Is and Why It Matters—Part 2

This is the second of four parts in this series. Part 1 can be found here. 4. The Architecture of MCP: Clients, Protocol, Servers, and Services How does MCP actually work under the hood? At its core, MCP follows a client–server architecture, with a twist tailored for AI-to-software communication. Let’s break down the roles: MCP…

Latest from MIT : MIT announces the Initiative for New Manufacturing

MIT today launched its Initiative for New Manufacturing (INM), an Institute-wide effort to reinfuse U.S. industrial production with leading-edge technologies, bolster crucial U.S. economic sectors, and ignite job creation. The initiative will encompass advanced research, innovative education programs, and partnership with companies across many sectors, in a bid to help transform manufacturing and elevate its…

O’Reilly Media – An Architecture of Participation for AI?

About six weeks ago, I sent an email to Satya Nadella complaining about the monolithic winner-takes-all architecture that Silicon Valley seems to envision for AI, contrasting it with “the architecture of participation” that had driven previous technology revolutions, most notably the internet and open source software. I suspected that Satya might be sympathetic because of…

Latest from MIT Tech Review – Anthropic’s new hybrid AI model can work on tasks autonomously for hours at a time

Anthropic has announced two new AI models that it claims represent a major step toward making AI agents truly useful. AI agents trained on Claude Opus 4, the company’s most powerful model to date, raise the bar for what such systems are capable of by tackling difficult tasks over extended periods of time and responding…

Latest from MIT : Learning how to predict rare kinds of failures

On Dec. 21, 2022, just as peak holiday season travel was getting underway, Southwest Airlines went through a cascading series of failures in their scheduling, initially triggered by severe winter weather in the Denver area. But the problems spread through their network, and over the course of the next 10 days the crisis ended up…