Researchers spent five years developing an AI-based model to protect freshwater fish worldwide from extinction, with a particular focus on identifying threats to fish before they become endangered. "People sometimes go in to protect species when it's already too late," said Ivan Arismendi, an associate professor in Oregon State University's Department of Fisheries, Wildlife, and Conservation Sciences. "With our model, decision makers can deploy resources in advance before a species becomes imperiled." The findings were recently published in the journal Nature Communications. Nearly one-third of freshwater fish species face possible extinction, threatening food supplies, ecosystems and outdoor recreation.

The White House unveiled its first federal AI policy framework Friday, with officials Michael Kratsios and David Sacks urging Congress to pass a national standard this year.

The skills needed for wrapping up aren't always what you expect. My house contains a vaguely defined room--a parlor-like space that was created by a renovation decades ago. After my son was born, it served as a playroom, full of baby and toddler toys. Then it became a nook where, late at night, my wife and I could listen to music and read. That equilibrium held until the Legos and board games arrived; their incursion was the beginning of the end.

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A new book from Rebecca Solnit, promising to bring us hope in these "difficult times", is among our pick of popular science titles out this month - along with a guide on how to talk to AI, and a look at modern warfare March, in the northern hemisphere anyway, is about venturing out for some much-needed vitamin D and dodging showers. Forget that - just head for a decent café where you can delve into the marvellous science books we've got waiting for you. This month you can explore how animals shaped our world, how to spot liars from their language, what forest trees can tell us - and flowers as revolutionaries. There is some stronger stuff too, if you are in the mood: try AI in the hands of the US military, or a deep cultural look at how our world has changed beyond recognition. Whatever your choice, it's all guaranteed to enrich the inner you.

V astTrack consists of a few attractive properties: (1) V ast Object Category . In particular, it covers targets from 2,115 categories, significantly surpassing object classes of existing popular benchmarks ( e.g ., GOT -10k with 563 classes and LaSOT with 70 categories). Through providing such vast object classes, we expect to learn more general object tracking.

Machine unlearning is a promising solution for efficiently removing specific knowledge by post hoc modifying models.