Ila Kumar: Innovating with communities
The PhD student works to give young people an active role in shaping digital technologies that can support their own well-being.
First-party releases and research from MIT News · AI. Headlines and excerpts link to the original articles.
The PhD student works to give young people an active role in shaping digital technologies that can support their own well-being.
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
MIT researchers created the Julia programming language starting around 2009, and it now counts more than 1 million users. JuliaHub, the company formed from the project, launched Dyad 3.0 in April to help engineering teams design complex physical systems.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.