Infection during pregnancy with elevated levels of the cytokine IL-17a may yield microbiome alterations that prime offspring for aberrant immune responses, mouse study suggests.
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
Tomosyn’s tight regulation of neurotransmitter release distinguishes functions of two neuron classes at the fly neuromuscular junction.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
By integrating multiple sensory inputs, a loop of mutual inhibition among a small set of neurons allows worms to switch between long-lasting behavioral states.
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
Senior Shardul Chiplunkar aims to be a translator between the tech world and the rest of society.
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.
A new machine-learning model could enable robots to understand interactions in the world in the way humans do.
Professor Bilge Yildiz finds patterns in the behavior of ions across applications.
Condensed-matter theory PhD candidate Makinde Ogunnaike is featured in the Poetry of Science project.
Study suggests this area of the visual cortex emerges much earlier in development than previously thought.
Human neurons have fewer ion channels, which might have allowed the human brain to divert energy to other neural processes.
A new machine-learning system helps robots understand and perform certain social interactions.
The findings may help explain why some people who lead enriching lives are less prone to Alzheimer’s and age-related dementia.