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.
AI success doesn’t come from picking the newest model, but from having three foundational priorities: trusted AI-ready data, ...
Researchers have developed the world's first real-world head-to-head testing platform to determine whether commercial ...
Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
As an HR or talent acquisition leader, you are leading a crucial transformation. Nearly every American corporation is now harnessing technology to enhance their hiring processes, and this shift has ...
When Devin Singh was a paediatric resident, he attended to a young child who had gone into cardiac arrest in the emergency department after a prolonged wait to see a doctor. “I remember doing CPR on ...
AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...
Artificial Intelligence (AI) is a hot topic at the moment. It’s everywhere. You probably already use it every day. That chatbot you’re talking to about your lost parcel? Powered by conversational AI.
If you’re in recruiting, you know that AI is thrown around a lot. AI in recruiting is no longer a concept to keep an eye on for the future. It’s here, reshaping how businesses find talent and build ...
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