Imagine being able not only to detect a fault in a complex system but also to receive a clear, understandable explanation of its cause. Just like having a seasoned expert by your side. This is the promise of combining a large language model (LLM) such as GPT-4 with advanced diagnostic tools.Imagine being able not only to detect a fault in a complex system but also to receive a clear, understandable explanation of its cause. Just like having a seasoned expert by your side. This is the promise of combining a large language model (LLM) such as GPT-4 with advanced diagnostic tools.Energy & Green Tech[#item_full_content]
The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks.The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks.Machine learning & AI[#item_full_content]
Researchers at Ben-Gurion University of the Negev’s Physical AI (PAI) Lab, led by Dr. Aslan Miriyev, have developed multifunctional material-sensors that emulate the complex capabilities of natural systems, advancing the field of physical AI.Researchers at Ben-Gurion University of the Negev’s Physical AI (PAI) Lab, led by Dr. Aslan Miriyev, have developed multifunctional material-sensors that emulate the complex capabilities of natural systems, advancing the field of physical AI.Engineering[#item_full_content]
Question: If you could create an AI twin of yourself, would you?Question: If you could create an AI twin of yourself, would you?Other[#item_full_content]
Large-scale neural network models form the basis of many AI-based technologies such as neuromorphic chips, which are inspired by the human brain. Training these networks can be tedious, time-consuming, and energy-inefficient given that the model is often first trained on a computer and then transferred to the chip. This limits the application and efficiency of neuromorphic chips.Large-scale neural network models form the basis of many AI-based technologies such as neuromorphic chips, which are inspired by the human brain. Training these networks can be tedious, time-consuming, and energy-inefficient given that the model is often first trained on a computer and then transferred to the chip. This limits the application and efficiency of neuromorphic chips.Hardware[#item_full_content]
Four-legged animals are innately capable of agile and adaptable movements, which allow them to move on a wide range of terrains. Over the past decades, roboticists worldwide have been trying to effectively reproduce these movements in quadrupedal (i.e., four-legged) robots.Four-legged animals are innately capable of agile and adaptable movements, which allow them to move on a wide range of terrains. Over the past decades, roboticists worldwide have been trying to effectively reproduce these movements in quadrupedal (i.e., four-legged) robots.Robotics[#item_full_content]
A study published in the journal Science Advances finds that AI enhances creativity by boosting the novelty of story ideas as well as the ‘usefulness’ of stories—their ability to engage the target audience and potential for publication. The paper is titled “Generative AI enhances individual creativity but reduces the collective diversity of novel content.”A study published in the journal Science Advances finds that AI enhances creativity by boosting the novelty of story ideas as well as the ‘usefulness’ of stories—their ability to engage the target audience and potential for publication. The paper is titled “Generative AI enhances individual creativity but reduces the collective diversity of novel content.”Consumer & Gadgets[#item_full_content]
Artificial Intelligence now underpins many of our activities in public and private spheres, including work, education, travel, and leisure. But its rapid development and increased use has been led primarily by commercial interests rather than deliberative policy or legislative choices.Artificial Intelligence now underpins many of our activities in public and private spheres, including work, education, travel, and leisure. But its rapid development and increased use has been led primarily by commercial interests rather than deliberative policy or legislative choices.Business[#item_full_content]
Users of voice assistants such as Siri, Alexa or Google Assistant know the frustration of being misunderstood by a machine.Users of voice assistants such as Siri, Alexa or Google Assistant know the frustration of being misunderstood by a machine.Consumer & Gadgets[#item_full_content]
A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.A trio of computer scientists at Auburn University, in the U.S., working with a colleague from the University of Alberta, in Canada, has found that claims of visual skills by large language models (LLMs) with vision capabilities (VLMs) may be overstating abilities.Computer Sciences[#item_full_content]