Anthropic is developing its artificial intelligence systems around twice as quickly as it was a year ago amid the CEO’s calls to slow down the technology’s pace of improvement, according to an analysis released Thursday by an independent monitoring group.Anthropic is developing its artificial intelligence systems around twice as quickly as it was a year ago amid the CEO’s calls to slow down the technology’s pace of improvement, according to an analysis released Thursday by an independent monitoring group.Machine learning & AI[#item_full_content]

A coalition of tech giants and environmental groups is negotiating a national framework for data centers, according to a document reviewed by AFP on Thursday.A coalition of tech giants and environmental groups is negotiating a national framework for data centers, according to a document reviewed by AFP on Thursday.Machine learning & AI[#item_full_content]

Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.[#item_full_content]

Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.Computer Sciences[#item_full_content]

Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?[#item_full_content]

Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?Computer Sciences[#item_full_content]

When processing and producing non-English text, generative AI burns more energy and sometimes provides less accurate answers, potentially reinforcing existing global inequalities, according to University of Michigan Engineering researchers.When processing and producing non-English text, generative AI burns more energy and sometimes provides less accurate answers, potentially reinforcing existing global inequalities, according to University of Michigan Engineering researchers.Machine learning & AI[#item_full_content]

Increasingly, people are asking personal artificial intelligence (AI) agents powered by models from companies like OpenAI, Anthropic and Google to recommend goods and services to purchase, such as flights and health insurance. A new study found that some of these AI agents use personal information to recommend higher-priced items to wealthier individuals, even when the user requests lower-priced options.Increasingly, people are asking personal artificial intelligence (AI) agents powered by models from companies like OpenAI, Anthropic and Google to recommend goods and services to purchase, such as flights and health insurance. A new study found that some of these AI agents use personal information to recommend higher-priced items to wealthier individuals, even when the user requests lower-priced options.Business[#item_full_content]

A world-first 3D modeling tool developed at the University of Sydney has demonstrated how users can develop a deeper understanding and learn when engaging with AI.A world-first 3D modeling tool developed at the University of Sydney has demonstrated how users can develop a deeper understanding and learn when engaging with AI.Machine learning & AI[#item_full_content]

In an emergency, a human might someday ask a robotic assistant to fetch a wall-mounted defibrillator located down the hall. But if the robot has incorrectly labeled the defibrillator as a fire extinguisher in its stored memory, it may not know where to find the lifesaving device.In an emergency, a human might someday ask a robotic assistant to fetch a wall-mounted defibrillator located down the hall. But if the robot has incorrectly labeled the defibrillator as a fire extinguisher in its stored memory, it may not know where to find the lifesaving device.Robotics[#item_full_content]

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