Neuroscientists find a way to make object-recognition models perform better
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
Shrinking massive neural networks used to model language
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
Slowing the spread of Covid-19
As cases increased worldwide this spring, mechanical engineers developed solutions to help slow and stop the spread of the coronavirus.
How humans use objects in novel ways to solve problems
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
An antidote to “fast fashion”
The clothing rental service Armoire helps customers sustainably maintain a fresh wardrobe.
A neural network learns when it should not be trusted
A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
Vibrations of coronavirus proteins may play a role in infection
Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.
Phiala Shanahan receives Kenneth G. Wilson Award for work in lattice field theory
Recognition honors research into nuclear structure and reactions.
Advancing artificial intelligence research
MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects.
Report outlines route toward better jobs, wider prosperity
MIT Task Force on the Work of the Future identifies ways to align new technologies with durable careers.
System brings deep learning to “internet of things” devices
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.
Staying ahead of the artificial intelligence curve with help from MIT
Intelenz co-founder Renzo Zagni credits MIT for the know-how he needed to launch his company and grow its AI-enabled offerings.
Algorithm reduces use of riskier antibiotics for UTIs
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Using machine learning to track the pandemic’s impact on mental health
Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.
Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs
Results might provide a convenient screening tool for people who may not suspect they are infected.