In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

AI therapeutics company built on causal biology, today announced the acquisition of CombinAbleAI and the launch of insitro's TherML™ (Therapeutic Machine Learning) platform. The acquisition, which is ...

New AI Resume Builder page helps job seekers optimize resumes for ATS, showcase measurable achievements, and boost ...

Rising alert volumes, talent shortages, and tool sprawl have pushed security operations beyond a sustainable cost structure.

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...