A new generative AI approach to predicting chemical reactions
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
3 Questions: The pros and cons of synthetic data in AI
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
Soft materials hold onto “memories” of their past, for longer than previously thought
New findings could help manufacturers design gels, lotions, or even paving materials that last longer and perform more predictably.
New gift expands mental illness studies at Poitras Center for Psychiatric Disorders Research
A commitment from longtime supporters Patricia and James Poitras ’63 initiates multidisciplinary efforts to understand and treat complex psychiatric disorders.
New particle detector passes the “standard candle” test
The sPHENIX detector is on track to reveal properties of primordial quark-gluon plasma.
MIT researchers develop AI tool to improve flu vaccine strain selection
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
New self-assembling material could be the key to recyclable EV batteries
MIT researchers designed an electrolyte that can break apart at the end of a battery’s life, allowing for easier recycling of components.
Why countries trade with each other while fighting
Mariya Grinberg’s new book, “Trade in War,” examines the curious phenomenon of economic trade during military conflict.
Locally produced proteins help mitochondria function
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
New method could monitor corrosion and cracking in a nuclear reactor
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.
J-PAL North America launches Initiative for Effective US Crime Policy
The IECP will generate rigorous evidence for fair and effective public safety solutions.
Simpler models can outperform deep learning at climate prediction
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
Can large language models figure out the real world?
New test could help determine if AI systems that make accurate predictions in one area can understand it well enough to apply that ability to a different area.
Imaging tech promises deepest looks yet into living brain tissue at single-cell resolution
By combining several cutting-edge imaging technologies, a new microscope system could enable unprecedentedly deep and precise visualization of metabolic and neuronal activity, potentially even in humans.
Astronomers detect the brightest fast radio burst of all time
The dazzling “RBFLOAT” radio burst, originating in a nearby galaxy, offers the clearest view yet of the environment around these mysterious flashes.