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Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?

Behavioral changes—such as anxiety, depression, irritability, apathy or agitation, collectively known as neuropsychiatric ...

Being able to distinguish a real video from one generated by artificial intelligence is becoming an increasingly complex challenge. In ...

According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...

Artificial intelligence is often explained through algorithms, hardware breakthroughs, and the rapid rise of powerful models. What is frequently missing from that narrative is the human story behind ...

Artificial intelligence and robotics are no longer experimental fields confined to research labs. They are shaping economies, redefining industries, and influencing daily life at global scale. Behind ...

Age is more than just one number. While neuroscientists used to think of cognitive aging as a single trendline, they now realize that vast individual differences require a more predictive and ...

All major large language models (LLMs) can be used to either commit academic fraud or facilitate junk science, a test of 13 ...