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- Artificial intelligence | MIT News | Massachusetts Institute of Technology
New AI system uncovers hidden cell subtypes, boosts precision medicine CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy
- Explained: Generative AI’s environmental impact - MIT News
MIT News explores the environmental and sustainability implications of generative AI technologies and applications
- Clip Salon We’re offloading mental tasks to AI. It could be making us . . .
A study by researchers at MIT examines how the use of large language models impacts the human brain, reports Elizabeth Hlavinka for Salon Research scientist Nataliya Kos'myna says the results “suggest large language models could affect our memory, attention and creativity ”
- Can AI really code? Study maps the roadblocks to autonomous software . . .
An AI that can shoulder the grunt work — and do so without introducing hidden failures — would free developers to focus on creativity, strategy, and ethics” says Gu “But that future depends on acknowledging that code completion is the easy part; the hard part is everything else Our goal isn’t to replace programmers It’s to
- MIT researchers introduce generative AI for databases
Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods
- Explained: Generative AI - MIT News
What do people mean when they say “generative AI,” and why are these systems finding their way into practically every application imaginable? MIT AI experts help break down the ins and outs of this increasingly popular, and ubiquitous, technology
- Accelerating scientific discovery with AI - MIT News
FutureHouse, co-founded by Sam Rodriques PhD ’19, has developed AI agents to automate some of the most critical steps on the path toward scientific progress
- Massachusetts Institute of Technology - MIT News
Prof Asu Ozdaglar, Deputy Dean of MIT Schwarzman College of Computing, speaks with Is Business Broken? podcast host Curt Nickish to explore AI’s opportunities and risks — and whether it can be regulated without stifling progress “AI is a very promising and transformative technology,” says Ozdaglar
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