The gender gap in generative AI isn’t just about who uses the tools—it’s also about who builds them. AI developers make crucial decisions—designing models, selecting training data, determining data ...
Company valuation and viability depend on distinguishing between a mock-up and resilient system infrastructure. ...
Cardiovascular diseases are significant contributors to both global morbidity and mortality, highlighting the pressing need for enhanced risk assessment ...
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 ...
Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...
Nurses clinical AI governance gap documented by a STAT News investigation and Nurse.org tracking data: only 6 of 26 hospital ...
Two studies led by Johns Hopkins Kimmel Cancer Center, Ludwig Center, and Johns Hopkins Whiting School of Engineering researchers report on a powerful new method that significantly improves the ...
Drug development isn't limited by the amount of data we collect, but by our ability to preserve the context, meaning and relationships that transform data into evidence.
OpenAI Group PBC recently paused some of its artificial intelligence training workloads over concerns that they could cause ...
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