Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Explore AI-driven trading, multi-asset support, strong security, and transparent performance data in a regulated platform ...
We are witnessing a fundamental shift in how successful systems are designed, and agentic AI sits at the heart of this revolution.
Indian American researcher receives funding and mentorship to push the boundaries of electronic design automation ...
Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto ...
Far from the stuff of science fiction, AI has moved from the exclusive regimes of theoretical mathematics and advanced hardware to an everyday aspect of life. Over the last several years of ...
Biomedical engineers at Duke University have developed a platform that combines automated wet lab techniques with artificial ...
More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...
Liquid's public sector AI survey results show that reducing paperwork is the top priority for AI investment. With the right focus, government can transform administrative effort into productivity ...
The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space, which was recently published by Springer Nature, provides a roadmap for tackling some of the most urgent ...
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