Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...
A research team is using astrophysical explosions to understand the mysterious forces at work in some of the smallest ...
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...
A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...
When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons ...
Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
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