Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these hurdles to solve some of the most difficult optimization problems. The team designed a system that processes information using a network of oscillators, components that move back and forth at certain frequencies, rather than representing all data digitally. This type of computer architecture, called an Ising machine, has special power for parallel computing, which makes numerous, complex calculations simultaneously. When the oscillators are in synch, the optimization problem is solved.

A new study published by researchers at the University of Hawai‘i at Mānoa sheds light on the critical role of iron in Earth’s climate history, revealing how its sources in the South Pacific Ocean have shifted over the past 93 million years. This groundbreaking research, based on the analysis of deep-sea sediment cores, provides crucial insights into the interplay between iron, marine life, and atmospheric carbon dioxide levels.

Researchers at the University of Florida based in Fort Lauderdale used machine learning to analyze more than 30,000 Google Maps and TripAdvisor reviews for parks, gardens and greenways throughout Broward County.

The inaugural AI in Agriculture Symposium, hosted by the Center for Agricultural Data Analytics within the Arkansas Agricultural Experiment Station, will highlight the latest in AI research and real-world applications for agriculture on Sept. 15. free event will be offered online and in-person at the Don Tyson Center for Agricultural Sciences, 1371 W. Altheimer Drive, in Fayetteville, Arkansas. The event also features an AI in Ag Hackathon, which gives graduate students from the University of Arkansas in Fayetteville and the University of Arkansas at Pine Bluff a chance to address real-world scenarios commonly faced in the ag industry. The hackathon takes place Sept. 13-14 and winners will give presentations at the symposium on Sept. 15.