MIT Schwarzman College of Computing

Addressing the opportunities and challenges of the computing age — from hardware to software to algorithms to artificial intelligence

[MIT Chemistry @ChemistryMIT]

The MIT Department of Chemistry and @MIT_SCC are hiring! We are seeking candidates for a shared tenure-track Assistant Professor position. Applications due November 15, 2026.

Learn more and apply: https://t.co/stxArkzUKS

[MIT Schwarzman College of Computing @MIT_SCC]

The MIT Schwarzman College of Computing, @ChemistryMIT, @MITBiology, have launched two shared faculty searches in AI and scientific discovery. We seek candidates who develop and apply frontier computational approaches to advance biology and chemistry.

➡️ https://t.co/5XfAoI4lhP

[MIT LIDS @MITLIDS]

What happens when companies use the same #AI to screen job applicants? A new study from @MITLIDS PIs Brian Hedden and Manish Raghavan finds that “algorithmic monoculture” isn't always harmful to job seekers — and may even benefit them in some cases. More: https://t.co/DMtiWb4FvR

[MIT Schwarzman College of Computing @MIT_SCC]

In an opinion piece for @WSJ, MIT Schwarzman College of Computing Dean Dan Huttenlocher argues that AI may act autonomously, but it cannot bear accountability. Those who deploy it must retain responsibility and provide oversight equal to the risks. https://t.co/0HnrGQXKy9

[MIT LIDS @MITLIDS]

When #AI operates in the physical world, “pretty close” may not cut it. LIDS researchers developed HardFlow, a method that helps pretrained generative AI satisfy hard constraints while improving solution quality — without retraining. https://t.co/uJ8vywoF3x

[MIT Schwarzman College of Computing @MIT_SCC]

Interested in the social and ethical challenges of computing? Apply to join the 2026–27 SERC Scholars cohort. Work with a SERC postdoc and students from across MIT on one of 15 interdisciplinary projects.

Learn + apply: https://t.co/dMJxUJkxsh

[MIT LIDS @MITLIDS]

Inspired by pinecones, tree bark, and seedpods, MIT researchers developed a mathematical framework for designing manufacturable, adaptive materials that mimic complex behaviors found in nature — with applications from robotics to aerospace. https://t.co/StBbh9L77s

[MIT Jameel Clinic for AI & Health @AIHealthMIT]

👏Congratulations to #JameelClinic PI @dina_katabi for being recognized in the 2026 #Forbes50Overr50 list for her work in applying ML to healthcare. 🧵

[MIT-IBM Computing Research Lab @MITIBMLab]

Congratulations to Aude Oliva, MIT Director of the @MITIBMLab, for being named to Forbes 50 Over 50: Innovation!
https://t.co/SiNgaWVxyY

[MIT LIDS @MITLIDS]

Using reason, again and again
A profile explores the work of LIDS PI Brian Hedden, whose research connects ethics and computing. From "Time-Slice Rationality" to MIT's SERC initiative, Hedden is helping shape a more thoughtful future for AI and computing. https://t.co/OZ24fV8DkH

[MIT Schwarzman College of Computing @MIT_SCC]

Rachel Sava, a PhD student in @mit_hst, explores transformative improvements and dystopian risks of neural technology in her winning piece for the fourth annual Envisioning the Future of Computing Prize.
https://t.co/1sUx5OSTz8

[MIT LIDS @MITLIDS]

Could AI help you find your lost keys?
@MITLIDS researchers developed Describe Anything Anywhere At Any Moment (DAAAM) a long-term memory framework that enables robots to remember objects & answer questions about their surroundings using natural language. https://t.co/BE26sqG2Ai

[MIT LIDS @MITLIDS]

Helping tiny robots navigate tight spaces
RLE & LIDS researchers developed a new low-power chip that helps small robots to rapidly generate 3D maps, avoid obstacles, and navigate complex environments like HVAC systems for inspection and gas-leak detection. https://t.co/BPe6JDwKdq

[MIT LIDS @MITLIDS]

The “power of three” may be key to understanding human preferences. LIDS @gabrfarina, Sobhan Mohammadpour, and collaborators show that two-way comparisons can't reveal preference correlations—but rankings of three alternatives can. A major advance in RUMs: https://t.co/pJuYttAgQ1

[MIT School of Humanities, Arts and Social Sciences @MIT_SHASS]

The MIT Ethics of Computing Research Symposium - hosted by SERC - gathered experts and researchers working at the heart of ethical and social impact in technology. https://t.co/mwl2zJFZ9l @MITPoliSci @MIT_SCC

[Massachusetts Institute of Technology (MIT) @MIT]

Among all of the possible chemical compounds, it’s estimated that between 1020 and 1060 may hold potential as small-molecule drugs.

Evaluating each of those compounds experimentally would be far too time-consuming for chemists. So, in recent years, MIT Associate Professor Connor Coley PhD ’19 has been using artificial intelligence to help identify compounds that could make good drug candidates. https://t.co/KqUI5WSzP7

[MIT LIDS @MITLIDS]

Games people — and machines — play 🎲
LIDS PI @gabrfarina combines concepts from game theory with such tools as machine learning, optimization, and statistics to advance theoretical and algorithmic foundations for decision-making.
Read a profile: https://t.co/WlWtXukzRH

[MIT-IBM Computing Research Lab @MITIBMLab]

MIT and IBM will expand our collaboration: The MIT-IBM Computing Research Lab will seek to leverage hybrid quantum and classical computing, with advanced algorithms and AI, to solve challenging problems in fundamentally new ways. https://t.co/2tIKRrAETY

[MIT LIDS @MITLIDS]

Before autonomous vehicles scale, the science behind them needs an upgrade. Researchers from @MITLIDS, @MIT_CEE, @MITdusp, and collaborators find mobility-on-demand studies often lack transparency and reproducibility—key for real-world decisions.
More: https://t.co/rLZOSNo2QF

[MIT Schwarzman College of Computing @MIT_SCC]

Researchers at @MIT_CSAIL developed an intelligent system for balancing the tasks of storage devices inside a data center, which can extend the longevity of storage hardware and help a data center operate more efficiently.
https://t.co/WDg2VgRa6y