Humans make nearly 35,000 decisions every day, from whether it’s safe to cross the road to what to have for lunch. Every decision involves weighing the options, remembering similar past scenarios, and feeling reasonably confident about the right choice. What may seem like a snap decision actually comes from gathering evidence from the surrounding environment. And often the same person makes different decisions in the same scenarios at different times.Humans make nearly 35,000 decisions every day, from whether it’s safe to cross the road to what to have for lunch. Every decision involves weighing the options, remembering similar past scenarios, and feeling reasonably confident about the right choice. What may seem like a snap decision actually comes from gathering evidence from the surrounding environment. And often the same person makes different decisions in the same scenarios at different times.Machine learning & AI[#item_full_content]

After creating the world’s first self-organizing drone flock, researchers at Eötvös Loránd University (ELTE), Budapest, Hungary have now also demonstrated the first large-scale autonomous drone traffic solution. This fascinating new system is capable of far more than what could be executed with human pilots.After creating the world’s first self-organizing drone flock, researchers at Eötvös Loránd University (ELTE), Budapest, Hungary have now also demonstrated the first large-scale autonomous drone traffic solution. This fascinating new system is capable of far more than what could be executed with human pilots.Automotive[#item_full_content]

OpenAI whistleblowers have filed a complaint with the Securities and Exchange Commission and asked the agency to investigate whether the ChatGPT maker illegally restricted workers from speaking out about the risks of its artificial intelligence technology.OpenAI whistleblowers have filed a complaint with the Securities and Exchange Commission and asked the agency to investigate whether the ChatGPT maker illegally restricted workers from speaking out about the risks of its artificial intelligence technology.Business[#item_full_content]

Just like your smartphone navigation app can instantly analyze information from many sources to suggest the best route to follow, a NASA-developed resource is now making data available to help the aviation industry do the same thing.Just like your smartphone navigation app can instantly analyze information from many sources to suggest the best route to follow, a NASA-developed resource is now making data available to help the aviation industry do the same thing.Automotive[#item_full_content]

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]

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]

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]

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