In industrial plants around the world, tiny bubbles cause big problems. Bubbles clog filters, disrupt chemical reactions, reduce throughput during biomanufacturing, and can even cause overheating in ...
MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
Celigo, the intelligent automation platform built for AI, today announced the publication of a new report in partnership with ...
For years, Suzanne Berger has been a leading advocate for US industry. Now she’s co-directing MIT’s Initiative for New Manufacturing, a platform to help the country make more goods.
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Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
ServiceNow is built to win in enterprise AI with sticky workflows, resilient pricing, and an app ecosystem. Read why NOW ...
MIT alumni are helping build a better MBTA— reshaping route planning, improving service, and supporting the workforce that ...
Richard C. Larson, Mitsui Professor, explores the role of operations research in everyday life and the concept of model thinking ...
Caltech scientists have developed a method that detects tiny, imperceptible movements at the surface of objects to reveal details about what lies beneath. By analyzing the physics of waves traveling ...
Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...
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