Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the generation of texts in different languages and even code. Many scientists and engineers also started using these models to conduct research or advance other technologies.Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the generation of texts in different languages and even code. Many scientists and engineers also started using these models to conduct research or advance other technologies.[#item_full_content]
Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that the reactions of humans and large language models (LLMs) to complex or misleading program code significantly align, by comparing brain activity of study participants with model uncertainty.Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that the reactions of humans and large language models (LLMs) to complex or misleading program code significantly align, by comparing brain activity of study participants with model uncertainty.[#item_full_content]
Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that the reactions of humans and large language models (LLMs) to complex or misleading program code significantly align, by comparing brain activity of study participants with model uncertainty.Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that the reactions of humans and large language models (LLMs) to complex or misleading program code significantly align, by comparing brain activity of study participants with model uncertainty.Computer Sciences[#item_full_content]
Dell Technologies Inc., HP Inc. and other tech companies are warning of potential memory-chip supply shortages in the coming year due to soaring demand from the build-out of artificial intelligence infrastructure.Dell Technologies Inc., HP Inc. and other tech companies are warning of potential memory-chip supply shortages in the coming year due to soaring demand from the build-out of artificial intelligence infrastructure.Electronics & Semiconductors[#item_full_content]
A dystopian future where advanced artificial intelligence (AI) systems replace human decision-making has long been a trope of science fiction. The malevolent computer HAL, which takes control of the spaceship in Stanley Kubrick’s film, 2001: A Space Odyssey, is a chilling example.A dystopian future where advanced artificial intelligence (AI) systems replace human decision-making has long been a trope of science fiction. The malevolent computer HAL, which takes control of the spaceship in Stanley Kubrick’s film, 2001: A Space Odyssey, is a chilling example.Software[#item_full_content]
Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s conversational platform ChatGPT, have proved to perform well on various language-related and coding tasks. Some computer scientists have recently been exploring the possibility that these models could also be used by malicious users and hackers to plan cyber-attacks or access people’s personal data.Large language models (LLMs), such as the model underpinning the functioning of OpenAI’s conversational platform ChatGPT, have proved to perform well on various language-related and coding tasks. Some computer scientists have recently been exploring the possibility that these models could also be used by malicious users and hackers to plan cyber-attacks or access people’s personal data.Security[#item_full_content]
Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.Robotics[#item_full_content]
Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents. These include household chores, such as cleaning, tidying up and cooking, as well as the transport of items or the assembly of products.[#item_full_content]
Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.[#item_full_content]
Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.Computer Sciences[#item_full_content]
