3Q: Christine Walley on the evolving perception of robots in the US
Anthropologist touches on the history of tech-related job displacement and explores how other countries approach policies on robots, skills, and learning.
Why we shouldn’t fear the future of work
MIT task force wraps up with a final conference, sounds note of optimism that new ideas, better policies can help sustain good careers.
MIT forum examines the rise of automation in the workplace
Technologies like robots and artificial intelligence could partner with humans, not oust them from work, research and business leaders say.
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.
Understanding how people make sense of information in the information age
Graduate student Manon Revel uses quantitative methodologies to investigate how advertising in online publications affects trust in journalism.
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.
Testing sewage to home in on Covid-19
Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.