New photography book takes readers on a journey down the world's longest river. Magnificent frigate birds (Fregata magnificens) make long foraging trips far over the Atlantic Ocean. Breakthroughs, discoveries, and DIY tips sent six days a week. The vital Amazon River is a lifeline for flora and fauna alike. The mighty river is celebrated in a new book, .

Less than a decade ago, Google employees scuttled any military use of its AI. The standoff between Anthropic and the Pentagon has forced the tech industry to once again grapple with the question of how its products are used for war - and what lines it will not cross. Amid Silicon Valley's rightward shift under Donald Trump and the signing of lucrative defense contracts, big tech's answer is looking very different than it did even less than a decade ago. Anthropic's feud with the Trump administration escalated three days ago as the AI firm sued the Department of Defense, claiming that the government's decision to blacklist it from government work violated its first amendment rights. The company and the Pentagon have been locked in a months-long standoff, with Anthropic attempting to prohibit its AI model from being used for domestic mass surveillance or fully autonomous lethal weapons.

Can we utilize reinforcement learning to automatically form the abstractions needed for planning, thus obtaining the best of both approaches?

A specialized glass layer could make tomorrow's computers faster and more energy efficient. An early version of the glass substrate developed by Absolics. Human-made glass is thousands of years old. But it's now poised to find its way into the AI chips used in the world's newest and largest data centers. This year, a South Korean company called Absolics is planning to start commercial production of special glass panels designed to make next-generation computing hardware more powerful and energy efficient. Other companies, including Intel, are also pushing forward in this area.

In this paper we consider the case of generativemodels. In particular,we investigate generativeadversarialnetworks (GANs) in the task of learning new categories in a sequential fashion.

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When you purchase through links in our articles, we may earn a small commission. ChatPlayground AI lets you run a single prompt across multiple top AI models and compare the results instantly--now just $79 for lifetime access. Using AI tools can feel a bit like a juggling act. One model might be great for brainstorming, another for writing code, and another for summarizing documents. Before long, you're bouncing between platforms just to compare results.

The errors that quantum computers make are holding the technology back. Quantum computers won't be truly useful until they can correct their mistakes Quantum computers are already here, but they make far too many errors. This is arguably the biggest obstacle to the technology really becoming useful, but recent breakthroughs suggest a solution may be on the horizon. Errors creep into traditional computers too, but there are well-established techniques for correcting them. They rely on redundancy, where extra bits are used to detect when 0s incorrectly swap to 1s or vice versa.

Neural Information Processing Systems http://nips.cc/