Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

In automation, precision and reliability are no longer optional; they are requirements. For a wide variety of machine types and processes, linear guides provide that accuracy and high-capacity travel.

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Despite recent advances in musical signal processing, little attention has been given to the demands of nontechnical stakeholders. The reduction of ...

What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...

To address AI bias at its roots, we must understand the human heuristics that shape it. Unlike prior frameworks that focus ...