We are trying to fix health care as if it were complicated. In reality, health care is complex. That single misunderstanding explains decades of failed reform. A complicated system has many moving ...

Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but not readily interpretable by humans. Although latent space studies are still ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Publishers are exploring automation through agentic AI such as sales agents who actively make decisions in the auction.

The COVID-19 pandemic’s early death toll was much higher than the official U.S. count, according to a new study that spotlights dramatic disparities in the uncounted deaths. About 840,000 COVID-19 ...

When his beloved dog was given months to live, an Australian man harnessed the power of machine learning and mRNA technology ...

Insurance leaders are implementing integrated AI platforms or components that transform entire operational workflows and reimagine how operations function.

From the “inference inflection point” to OpenClaw’s rise as an agent operating system, Nvidia’s GTC keynote outlined the architecture of the AI factory, spanning Rubin ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...