Engineers from the Computer Science Department at Binghamton University, State University of New York have programmed a robot guide dog to assist the visually impaired. The robot responds to tugs on its leash.Engineers from the Computer Science Department at Binghamton University, State University of New York have programmed a robot guide dog to assist the visually impaired. The robot responds to tugs on its leash.Robotics[#item_full_content]

Engineers from the Computer Science Department at Binghamton University, State University of New York have programmed a robot guide dog to assist the visually impaired. The robot responds to tugs on its leash.Engineers from the Computer Science Department at Binghamton University, State University of New York have programmed a robot guide dog to assist the visually impaired. The robot responds to tugs on its leash.[#item_full_content]

Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence.Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence.[#item_full_content]

Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence.Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence.Computer Sciences[#item_full_content]

US President Joe Biden will unveil “sweeping” action on Monday aimed at regulating the use of artificial intelligence, the White House said, in an effort to reduce risks associated with the emerging technology.US President Joe Biden will unveil “sweeping” action on Monday aimed at regulating the use of artificial intelligence, the White House said, in an effort to reduce risks associated with the emerging technology.Machine learning & AI[#item_full_content]

The UK government will welcome foreign political leaders, tech industry figures, academics and others this week for a two-day summit billed as the first of its kind on artificial intelligence (AI).The UK government will welcome foreign political leaders, tech industry figures, academics and others this week for a two-day summit billed as the first of its kind on artificial intelligence (AI).Machine learning & AI[#item_full_content]

Companies in the foundation model space are becoming less transparent, says Rishi Bommasani, Society Lead at the Center for Research on Foundation Models (CRFM), within Stanford HAI. For example, OpenAI, which has the word “open” right in its name, has clearly stated that it will not be transparent about most aspects of its flagship model, GPT-4.Companies in the foundation model space are becoming less transparent, says Rishi Bommasani, Society Lead at the Center for Research on Foundation Models (CRFM), within Stanford HAI. For example, OpenAI, which has the word “open” right in its name, has clearly stated that it will not be transparent about most aspects of its flagship model, GPT-4.Business[#item_full_content]

Visitors to a Ukrainian news website on the evening of February 18 2022, were greeted by a familiar sight, a video of their president giving a speech. While the resemblance was there, the face seemed slightly out of sync with the head of the Ukrainian president.Visitors to a Ukrainian news website on the evening of February 18 2022, were greeted by a familiar sight, a video of their president giving a speech. While the resemblance was there, the face seemed slightly out of sync with the head of the Ukrainian president.Machine learning & AI[#item_full_content]

Artificial intelligence already wears multiple hats in the workplace, whether its writing ad copy, handling customer support requests, or filtering job applications. As the technology continues its ascent and capabilities, the notion of corporations managed or owned by AI becomes less far-fetched. The legal framework already exists to allow “Zero-member LLCs.”Artificial intelligence already wears multiple hats in the workplace, whether its writing ad copy, handling customer support requests, or filtering job applications. As the technology continues its ascent and capabilities, the notion of corporations managed or owned by AI becomes less far-fetched. The legal framework already exists to allow “Zero-member LLCs.”Machine learning & AI[#item_full_content]

Building efficient quantum neural networks is a promising direction for research at the intersection of quantum computing and machine learning. A team at Terra Quantum AG designed a parallel hybrid quantum neural network and demonstrated that their model is “a powerful tool for quantum machine learning.” This research was published in Intelligent Computing.Building efficient quantum neural networks is a promising direction for research at the intersection of quantum computing and machine learning. A team at Terra Quantum AG designed a parallel hybrid quantum neural network and demonstrated that their model is “a powerful tool for quantum machine learning.” This research was published in Intelligent Computing.Hi Tech & Innovation[#item_full_content]

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