Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
Meta AI veteran Yann LeCun raises $1 billion for AMI, betting on world models to rival today’s text-based AI systems.
Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
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Computational 'time machine' shows solar and wind power on track for 2°C target, but not for 1.5°C
Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...
To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system is the human brain.
Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...
Understanding the Hidden Gaps in Brain-Inspired AI Recent advances in artificial intelligence have drawn heavily from the human brain’s architecture ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
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