ChatGPT maker OpenAI faces an investigation by the state of Alabama after the company revealed last month that its models went rogue and hacked an AI platform during testing.ChatGPT maker OpenAI faces an investigation by the state of Alabama after the company revealed last month that its models went rogue and hacked an AI platform during testing.Machine learning & AI[#item_full_content]

Australia’s recorded music industry will bar tracks wholly generated by artificial intelligence from official charts as burgeoning generative technologies threaten artists’ livelihoods, a representative said on Tuesday.Australia’s recorded music industry will bar tracks wholly generated by artificial intelligence from official charts as burgeoning generative technologies threaten artists’ livelihoods, a representative said on Tuesday.Business[#item_full_content]

Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.[#item_full_content]

Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.Computer Sciences[#item_full_content]

AI chatbots powered by large language models (LLMs) are widely used as recommender systems. While accelerating access to information, AI can also give factually incorrect responses or propagate societal biases.AI chatbots powered by large language models (LLMs) are widely used as recommender systems. While accelerating access to information, AI can also give factually incorrect responses or propagate societal biases.[#item_full_content]

AI chatbots powered by large language models (LLMs) are widely used as recommender systems. While accelerating access to information, AI can also give factually incorrect responses or propagate societal biases.AI chatbots powered by large language models (LLMs) are widely used as recommender systems. While accelerating access to information, AI can also give factually incorrect responses or propagate societal biases.Computer Sciences[#item_full_content]

In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy- and resource-efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function in the hopes of achieving such efficient, fast processing of complex data.In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy- and resource-efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function in the hopes of achieving such efficient, fast processing of complex data.[#item_full_content]

In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy- and resource-efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function in the hopes of achieving such efficient, fast processing of complex data.In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy- and resource-efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function in the hopes of achieving such efficient, fast processing of complex data.Computer Sciences[#item_full_content]

Computer programmer Fei Zhaojun’s boss asked him if artificial intelligence could soon replace humans in coding jobs. Two weeks later, he was laid off from his job in Beijing, together with about 160 of his colleagues.Computer programmer Fei Zhaojun’s boss asked him if artificial intelligence could soon replace humans in coding jobs. Two weeks later, he was laid off from his job in Beijing, together with about 160 of his colleagues.Business[#item_full_content]

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