Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Vision language models can help robots create effective automation in chaotic environments, augmenting human capabilities.

Clase allegedly used language calling batters chickens and roosters in coded messages with co-conspirators discussing the ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Search patents reveal how AI search systems interpret intent, evaluate content passages, and build brand understanding in ...

The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...

Background Layoffs may affect the health of those who lose their jobs as well as those who remain employed. Existing studies ...

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

By Priyanjana Pramanik, MSc. Despite near-perfect exam scores, large language models falter when real people rely on them for ...

The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...