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MIT researchers propose breaking software systems down into “concepts” (pieces that each do a specific job) and “synchronizations” (rules that outline how the pieces fit together), potentially opening the door to safer, more automated software development (Credits: Alex Shipps/MIT CSAIL, using assets from Pexels).
CSAIL article

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that’s messy, hard to change safely, and often opaque about what’s really happening under the hood. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are charting a more “modular” path ahead. 

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[Em]Powering the Future: Transforming Ideas into Reality

This event is organized by MIT Industrial Liaison Program (MIT ILP) with special discounts for friends of MIT CSAIL and complimentary passes for CSAIL Alliances members.

Visit the official event page for full event details.

Save 70% with code ILP70CSAIL at checkout. 
CSAIL Alliances Members, contact your CRC for a fully complimentary pass.

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Ray and Maria Stata Center

Please join us for a special fireside CSAIL Forum, featuring Sir Tim Berners-Lee!

 

Speaker: Tim Berners-Lee, CSAIL Professor Emeritus; Co-founder/CTO, Inrupt; author, This is For Everyone: the Unfinished Story of the World Wide Web

Venue: Live stream via Zoom: Registration required

 

Bio:

Sir Tim Berners-Lee, Co-founder/CTO, Inrupt

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A new compound called enterololin suppresses a group of bacteria linked to Crohn’s disease flare-ups while leaving the rest of the microbiome largely intact. Researchers say it’s a step toward treatments designed to knock out only the bacteria causing trouble (Credits: Alex Shipps/MIT CSAIL, using assets from the researchers and Pexels).
CSAIL article

For patients with inflammatory bowel disease, antibiotics can be a double-edged sword. The broad-spectrum drugs often prescribed for gut flare-ups can kill helpful microbes alongside harmful ones, sometimes worsening symptoms over time. When fighting gut inflammation, you don’t always want to bring a sledgehammer to a knife fight.

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MIT researchers developed a new system that enables individuals to more easily create customized social applications that can seamlessly interoperate with one another (Credits: MIT News; iStock).
CSAIL article

Say a local concert venue wants to engage its community by giving social media followers an easy way to share and comment on new music from emerging artists. Rather than working within the constraints of existing social platforms, the venue might want to create its own social app with the functionality that would be best for its community. But building a new social app from scratch involves many complicated programming steps, and even if the venue can create a customized app, the organization’s followers may be unwilling to join the new platform because it could mean leaving their connections and data behind.

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The “Steerable Scene Generation” approach creates digital scenes of things like kitchens, living rooms, and restaurants that engineers can use to simulate lots of real-world robot interactions and scenarios (Credit: Image courtesy of the researchers).
CSAIL article

Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help you with a wide range of tasks. Whether you’re writing Shakespearean sonnets, debugging code, or need an answer to an obscure trivia question, artificial intelligence (AI) systems seem to have you covered. The source of this versatility? Billions or even trillions of textual data points across the Internet.