Engineers can 3D-print high-performance titanium parts for aircraft, medical implants and advanced machinery, but finding the right printing settings can still require costly and time-consuming trial and error. A new study shows how artificial intelligence could help narrow that search before production testing begins.Engineers can 3D-print high-performance titanium parts for aircraft, medical implants and advanced machinery, but finding the right printing settings can still require costly and time-consuming trial and error. A new study shows how artificial intelligence could help narrow that search before production testing begins.Hi Tech & Innovation[#item_full_content]

Anthropic may have to accept a lower valuation than the $1.5 trillion it had been targeting for its stock market debut, after a sharp tech sell-off spooked key investors, The Wall Street Journal reported Thursday.Anthropic may have to accept a lower valuation than the $1.5 trillion it had been targeting for its stock market debut, after a sharp tech sell-off spooked key investors, The Wall Street Journal reported Thursday.Business[#item_full_content]

The NFL has given Carnegie Mellon University researchers access to official film and on-field data to develop new technologies that can enhance the way coaches, players and fans annotate, analyze and understand games.The NFL has given Carnegie Mellon University researchers access to official film and on-field data to develop new technologies that can enhance the way coaches, players and fans annotate, analyze and understand games.Hi Tech & Innovation[#item_full_content]

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]

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