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MIT's zinc-air microbattery, smaller than a sand grain, powers tiny robots. It uses air to oxidise zinc, generating 1 volt for circuits and sensors.

MIT researchers propose personhood credentials to verify human users online, obtained offline and used optionally to distinguish from AI accounts.

MIT's SigLLM framework uses large language models to detect anomalies in time-series data without extensive training, showing promise for complex systems.

MIT's NeuroTrALE software uses machine learning to process brain imaging data faster, reducing computing time by 90% for 32GB datasets.

MIT researchers found LLMs may form internal simulations of reality while improving language skills. A model achieved 92.4% accuracy on Karel puzzles without direct exposure, suggesting deeper understanding beyond mimicry.

Mila partners with Iter Innovandi to boost AI adoption in SMEs. Focuses on construction sector. Combines Mila's research expertise with Iter's customer focus. Aims to make advanced AI more accessible, driving innovation across Canada.