In The News

Fireside chat with Don Eigler wraps up MIT.nano “Perspectives in Nanotechnology” seminars
Fireside chat with Don Eigler wraps up MIT.nano “Perspectives in Nanotechnology” seminars

Series featured five experts who played seminal roles in understanding the nanoscale.

Deep learning with point clouds
Deep learning with point clouds

Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.

Cell stiffness may indicate whether tumors will invade
Cell stiffness may indicate whether tumors will invade

Study shows tumors with softer, larger cells at their periphery are more likely to spread; may suggest new route for cancer therapy.

Two from MIT elected to the National Academy of Medicine for 2019
Two from MIT elected to the National Academy of Medicine for 2019

Sangeeta Bhatia and Richard Young recognized for their contributions to “advancement of the medical sciences, health care, and public health.”

Biological engineer Paul Blainey creates new tools to advance biomedical research
Biological engineer Paul Blainey creates new tools to advance biomedical research

His technology platforms have benefited genomics, diagnostics, and drug screening.

Open access task force releases final recommendations
Open access task force releases final recommendations

Report urges MIT community to openly share the products of its research and teaching.

MADMEC teams address plastic waste problem with materials science
MADMEC teams address plastic waste problem with materials science

Finalists presented an alternative to nondegradable plastics, and an additive to help plastics decompose.

Imaging combined with genetic screening of cells enhances genomic discoveries
Imaging combined with genetic screening of cells enhances genomic discoveries

New image-based genetic screening method helps researchers identify key regulators of inflammation.

Better fact-checking for fake news
Better fact-checking for fake news

New research reveals biases in fake news datasets and improves the use of automatic detectors.

Giving robots a faster grasp
Giving robots a faster grasp

An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use.

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