Every healthcare conference, life sciences boardroom and clinical technology roadmap seems to be centered on one topic: ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

Workday is now facing one of the most important legal tests yet over whether artificial intelligence is quietly reshaping who gets hired, who gets ignored and who may never know […] The post Workday’s ...

The accelerating growth of electronic waste (e-waste), industrial byproducts, and natural resources depletion highlights the ...

Two experiments involving 223 self-reported physicians found that incorrect AI patient classifications strongly influenced ...

At Shanghai's biggest AI showcase, the brain-computer interface company unveiled technology that lets humans control robots using nothing but neural signals and took aim at a problem that has slowed ...

Canada’s new artificial intelligence strategy, AI for All, presents an ambitious vision for the country’s future. Artificial intelligence, the federal government argues, can boost productivity, ...

AI is powerful. But it will not solve bad data or broken processes. In fact, it can magnify errors with great confidence.

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Carissa Véliz is an associate professor at the ...

When ophthalmologist Emily Cole, MD, steps into the neonatal intensive care unit (NICU) at Children's Hospital Colorado to evaluate an infant's eyes for a disease called retinopathy of prematurity ...

The GST system was conceived as a “technology-first” regime, mandating electronic filing, digital invoice matching, and ...