Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such illnesses are characterized by long periods of remission broken up by sudden, ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Raunak Bhandari, a former Google AI lead, designed KiwiQ, a multi-agent orchestration platform built to support complex ...

The latest GPT-5.4 mini model delivers benchmark results surprisingly close to the full GPT-5.4 model while running much faster, signaling a shift toward smaller AI models powering real-world ...

Learn how PPC automation layering combines Smart Bidding, scripts, AI tools, and human strategy to improve campaign efficiency, oversight, and long-term performance.

The research was supported by the National Science Foundation, State of Minnesota Weather Ready Extension, and Minnesota Pollution Control Agency. The research was done in collaboration with the ...

AI bias propagation spreads across data, models, and APIs. Learn how enterprises use fairness-aware machine learning and observability to control systemic bias.

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges ...

The AI Moment Leaders Are Facing  It is a unique moment for artificial intelligence. Boards and executive teams are ...