A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.Computer Sciences[#item_full_content]

ChatGPT-maker OpenAI published Monday its newest guidelines for gauging “catastrophic risks” from artificial intelligence in models currently being developed.ChatGPT-maker OpenAI published Monday its newest guidelines for gauging “catastrophic risks” from artificial intelligence in models currently being developed.Machine learning & AI[#item_full_content]

A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.Robotics[#item_full_content]

A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.[#item_full_content]

Artificial intelligence (AI) has huge potential to advance the field of health and medicine, but the nation must be prepared to responsibly harness the power of AI and maximize its benefits, according to an editorial by Victor J. Dzau and colleagues.Artificial intelligence (AI) has huge potential to advance the field of health and medicine, but the nation must be prepared to responsibly harness the power of AI and maximize its benefits, according to an editorial by Victor J. Dzau and colleagues.Machine learning & AI[#item_full_content]

A pair of roboticists at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, in Germany, has found that it is possible to give robots some degree of proprioception using machine-learning techniques. In their study reported in the journal Science Robotics, Fernando Díaz Ledezma and Sami Haddadin developed a new machine-learning approach to allow a robot to learn the specifics of its body.A pair of roboticists at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, in Germany, has found that it is possible to give robots some degree of proprioception using machine-learning techniques. In their study reported in the journal Science Robotics, Fernando Díaz Ledezma and Sami Haddadin developed a new machine-learning approach to allow a robot to learn the specifics of its body.Robotics[#item_full_content]

A pair of roboticists at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, in Germany, has found that it is possible to give robots some degree of proprioception using machine-learning techniques. In their study reported in the journal Science Robotics, Fernando Díaz Ledezma and Sami Haddadin developed a new machine-learning approach to allow a robot to learn the specifics of its body.A pair of roboticists at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, in Germany, has found that it is possible to give robots some degree of proprioception using machine-learning techniques. In their study reported in the journal Science Robotics, Fernando Díaz Ledezma and Sami Haddadin developed a new machine-learning approach to allow a robot to learn the specifics of its body.[#item_full_content]

Large language models (LLMs) are advanced deep learning algorithms that can process written or spoken prompts and generate texts in response to these prompts. These models have recently become increasingly popular and are now helping many users to create summaries of long documents, gain inspiration for brand names, find quick answers to simple queries, and generate various other types of texts.Large language models (LLMs) are advanced deep learning algorithms that can process written or spoken prompts and generate texts in response to these prompts. These models have recently become increasingly popular and are now helping many users to create summaries of long documents, gain inspiration for brand names, find quick answers to simple queries, and generate various other types of texts.[#item_full_content]

Large language models (LLMs) are advanced deep learning algorithms that can process written or spoken prompts and generate texts in response to these prompts. These models have recently become increasingly popular and are now helping many users to create summaries of long documents, gain inspiration for brand names, find quick answers to simple queries, and generate various other types of texts.Large language models (LLMs) are advanced deep learning algorithms that can process written or spoken prompts and generate texts in response to these prompts. These models have recently become increasingly popular and are now helping many users to create summaries of long documents, gain inspiration for brand names, find quick answers to simple queries, and generate various other types of texts.Computer Sciences[#item_full_content]

New research from Bowling Green State University finds that generative artificial intelligence—or AI—can blur the lines when it comes to identifying the source of images, but discovered humans still maintain a subsurface preference for genuine human art.New research from Bowling Green State University finds that generative artificial intelligence—or AI—can blur the lines when it comes to identifying the source of images, but discovered humans still maintain a subsurface preference for genuine human art.Consumer & Gadgets[#item_full_content]

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