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]