Using machine learning and math, a Brigham Young University student improved a key tool firefighters rely on during wildfire ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Brigham Young University graduate Jane Housley's research could help make a widely used wildfire modeling tool faster and ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

Approximate multipliers (AppMults) are widely employed in deep neural network (DNN) accelerators to reduce the area, delay, and power consumption. However, the inaccuracies of AppMults degrade DNN ...

Where are you on your gen AI journey? This guide by CNET's experts will point you in the right direction. Jon Skillings is an editorial director at CNET, where he's worked since 2000. A born browser ...

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