Mayo Clinic leadership framework for AI era guides leaders to navigate technology, data and collaboration in healthcare.

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

Data-driven decision-making and gut instinct is a false dichotomy. Using data to make decisions often requires significant ...

In 2014, Van de Pol incorporated CATTLEytics with a clear mission: to build software that actually works in the barn, not ...

Dr. Shari van de Pol went from coding for atomic reactors to building CATTLEytics, dairy software made for the barn, not the boardroom.

Conservation efforts can be empowered by AI when the tools used are regulated, ethical and align with the values of the researcher.

They are far from perfect. It's been shown that they can confidently make up information and amplify hidden biases in their ...

Abstract: The spectacular success of training large models on extensive datasets highlights the potential of scaling up for exceptional performance. To deploy these models on edge devices, knowledge ...

Tacit knowledge plays a crucial role in clinical decision-making and medical innovation, particularly through experience-based and practice-oriented expertise. However, existing research has not yet ...

Democratic senator Elizabeth Warren and Republican senator Josh Hawley are urging the US’s central energy information agency to provide better information on how much electricity data centers actually ...

Timely and accurate decision-making is critical during gas tunnel emergencies, yet relevant knowledge is typically fragmented across unstructured reports, manuals, and case records, hindering rapid ...