Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”Robotics[#item_full_content]

Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was “really impressive.”[#item_full_content]

The rapid development of artificial intelligence (AI) poses challenges to today’s computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing units are not interconnected and data transmission slows down complex applications.The rapid development of artificial intelligence (AI) poses challenges to today’s computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing units are not interconnected and data transmission slows down complex applications.Electronics & Semiconductors[#item_full_content]

Teenagers chatting with ChatGPT will soon see a very different version of the tool—one built with stricter ways to keep them safe online, OpenAI announced.Teenagers chatting with ChatGPT will soon see a very different version of the tool—one built with stricter ways to keep them safe online, OpenAI announced.Security[#item_full_content]

A research team led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the fabrication of advanced materials. The platform, called AutoBot, uses machine learning algorithms to direct robotic devices to rapidly synthesize and characterize materials. The algorithms automatically refine the experiments based on analysis of the characterization results.A research team led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the fabrication of advanced materials. The platform, called AutoBot, uses machine learning algorithms to direct robotic devices to rapidly synthesize and characterize materials. The algorithms automatically refine the experiments based on analysis of the characterization results.Energy & Green Tech[#item_full_content]

Train delays can cascade into stalled commutes, economic losses, and vacation snags. Scheduling trains is computationally complex, though: It can take hours or days to solve large transportation networks on traditional computers, when disruptions like train breakdowns or traffic accidents demand much quicker solutions.Train delays can cascade into stalled commutes, economic losses, and vacation snags. Scheduling trains is computationally complex, though: It can take hours or days to solve large transportation networks on traditional computers, when disruptions like train breakdowns or traffic accidents demand much quicker solutions.[#item_full_content]

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.[#item_full_content]

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Computer Sciences[#item_full_content]

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