This knowledge, once the zenith of human achievement, now finds itself lacking in the age of large language models and ...
The origin of many diseases such as Alzheimer's or Parkinson's can be found at the molecular level in our body, in other ...
A novel machine learning model called Temporal Autoencoders for Causal Inference (TACI) accurately detects changing cause-and ...
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Graph-based AI model finds hidden links between science and art to suggest novel materialsImagine using artificial intelligence to compare two seemingly unrelated creations—biological tissue and Beethoven's ...
A new computer model can more accurately assess how causal relationships in complex real-world systems vary over time.
Liquid AI has introduced new liquid foundation models that promise more energy-efficient, transparent, tuneable, and ...
This manuscript introduces DendroTweaks, a useful web application and Python library that, compared to existing modeling tools, eases interactive graphical exploration, development, and validation of ...
Since the launch of the Large Hadron Collider, researchers have been studying Higgs bosons and searching for signs of physics ...
Biological engineers developed a computational approach to extracting useful information from large biological datasets. They showed they could unravel interactions that determine how the immune ...
Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.
Ben Rubin, cocreator of hit pandemic chat app Houseparty, has launched a new group messaging platform that aims to solve the ...
With the advent of Ingram Micro Ultra, partners are extolling the many advantages they see for their business -- including an even more personalized approach and the use of AI to deliver deeper ...
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