Chaos – Complexity Research Team (CRT)

Professor Robert Sapolsky: “Chaos and Reductionism”

Posted on 25/11/2020 by karaka

Machine learning analysis of chaos and vice versa

Posted on 12/11/2020 by karaka

Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices 08/12/2021

New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.

Lauren Hinkel | MIT-IBM Watson AI Lab

Machines that see the world more like humans do 08/12/2021

A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.

Adam Zewe | MIT News Office

Q&A: More-sustainable concrete with machine learning 07/12/2021

MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.

Lauren Hinkel | MIT-IBM Watson AI Lab

Biology and Genetics

Study reveals a protein’s key contribution to heterogeneity of neurons 07/12/2021

Tomosyn’s tight regulation of neurotransmitter release distinguishes functions of two neuron classes at the fly neuromuscular junction.

MIT Future Founders Initiative announces prize competition to promote female entrepreneurs in biotech 30/11/2021

Nine MIT researchers selected as finalists for 2021 prize supported by Northpond Ventures; grand prize winner to receive $250K toward commercializing her human health-related invention.

How molecular clusters in the nucleus interact with chromosomes 24/11/2021

A new study finds the clusters form small, stable droplets and may give the genome a gel-like structure.