EU lawmakers on Wednesday demanded artificial intelligence providers pay for their use of copyrighted European content as they called for expanded rules to apply to generative AI.EU lawmakers on Wednesday demanded artificial intelligence providers pay for their use of copyrighted European content as they called for expanded rules to apply to generative AI.Machine learning & AI[#item_full_content]

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used by people worldwide. These models have proved to be effective in rapidly sourcing information, answering questions, creating written content for specific applications and writing computer code.Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used by people worldwide. These models have proved to be effective in rapidly sourcing information, answering questions, creating written content for specific applications and writing computer code.Computer Sciences[#item_full_content]

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used by people worldwide. These models have proved to be effective in rapidly sourcing information, answering questions, creating written content for specific applications and writing computer code.Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used by people worldwide. These models have proved to be effective in rapidly sourcing information, answering questions, creating written content for specific applications and writing computer code.[#item_full_content]

When Daniel Graham, an associate professor in the University of Virginia School of Data Science, talks about the future of intelligent systems, he does not begin with the usual vocabulary of cybersecurity or threat mitigation. Instead, he focuses on quality assurance and on how to build digital and physical systems we can trust.When Daniel Graham, an associate professor in the University of Virginia School of Data Science, talks about the future of intelligent systems, he does not begin with the usual vocabulary of cybersecurity or threat mitigation. Instead, he focuses on quality assurance and on how to build digital and physical systems we can trust.Security[#item_full_content]

How inconvenient would it be if you had to manually transfer every contact and photo from scratch every time you switched to a new smartphone? Current artificial intelligence (AI) models face a similar predicament. Whenever a superior new AI model—such as a new version of ChatGPT—emerges, it has to be retrained with massive amounts of data and at a high cost to acquire specialized knowledge in specific fields. Now a Korean research team has developed a “knowledge transplantation” technology between AI models that can resolve this inefficiency.How inconvenient would it be if you had to manually transfer every contact and photo from scratch every time you switched to a new smartphone? Current artificial intelligence (AI) models face a similar predicament. Whenever a superior new AI model—such as a new version of ChatGPT—emerges, it has to be retrained with massive amounts of data and at a high cost to acquire specialized knowledge in specific fields. Now a Korean research team has developed a “knowledge transplantation” technology between AI models that can resolve this inefficiency.Computer Sciences[#item_full_content]

How inconvenient would it be if you had to manually transfer every contact and photo from scratch every time you switched to a new smartphone? Current artificial intelligence (AI) models face a similar predicament. Whenever a superior new AI model—such as a new version of ChatGPT—emerges, it has to be retrained with massive amounts of data and at a high cost to acquire specialized knowledge in specific fields. Now a Korean research team has developed a “knowledge transplantation” technology between AI models that can resolve this inefficiency.How inconvenient would it be if you had to manually transfer every contact and photo from scratch every time you switched to a new smartphone? Current artificial intelligence (AI) models face a similar predicament. Whenever a superior new AI model—such as a new version of ChatGPT—emerges, it has to be retrained with massive amounts of data and at a high cost to acquire specialized knowledge in specific fields. Now a Korean research team has developed a “knowledge transplantation” technology between AI models that can resolve this inefficiency.[#item_full_content]

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.Computer Sciences[#item_full_content]

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.[#item_full_content]

Researchers are continuing to make progress on developing a new synthetic material that behaves like biological muscle, an advancement that could provide a path to soft robotics, prosthetic devices and advanced human-machine interfaces. Their research, recently published in Advanced Functional Materials, demonstrates a hydrogel-based actuator system that combines movement, control and fuel delivery in a single integrated platform.Researchers are continuing to make progress on developing a new synthetic material that behaves like biological muscle, an advancement that could provide a path to soft robotics, prosthetic devices and advanced human-machine interfaces. Their research, recently published in Advanced Functional Materials, demonstrates a hydrogel-based actuator system that combines movement, control and fuel delivery in a single integrated platform.[#item_full_content]

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