Various IITs in the country are introducing new-age courses to meet the growing demands of professionals skilled in ...
The Groq Real-time AI Agent Hackathon on MachineHack challenges developers to build multi-agent AI systems that solve ...
What’s next for AI: Researchers at Nvidia, Apple, Google and Stanford envision the next leap forward
Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...
JDK 25 brings powerful new features to Java and JVM developers. Here are seven new or updated features that could convince ...
Embedded or Edge AI is becoming widespread in industry. But how can AI models—with the help of the cloud, if necessary—be ...
MathWorks announced that MATLAB EXPO 2025 will occur online on November 12?13, 2025, as a live event across multiple international time zones. The event features 53 total sessions, including four ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
2don MSN
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
The approach, published on 23 October in Science, builds on a trend that is sweeping the field of drug discovery: the use of ...
News Medical on MSN
Machine learning advances drug discovery through generalizable models
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
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