Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility practice for AI technologies in just four months.
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...
In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.
Semiconductor manufacturer GlobalFoundries developed three practical AI-based solutions. The solutions assist with ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.