A collaboration between SISSA’s Physics and Neuroscience groups has shed new light on how memories are stored and retrieved in the brain, unifying decades of behavioral and theoretical research. The ...

A collaboration between SISSA’s Physics and Neuroscience groups has taken a step forward in understanding how memories are stored and retrieved in the brain. The study, recently published in Neuron, ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

While acquisition curves in human learning averaged at the group level display smooth, gradual changes in performance, individual learning curves across cognitive domains reveal sudden, discontinuous ...

This video shows the process of learning 2D animation in a short period. It includes rough sketches, keyframe planning, and coloring stages, highlighting the time and effort required in frame-by-frame ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

Recent studies have shown that neural responses to familiar sounds continuously change in stable environments, a phenomenon termed representational drift. By analyzing long-term recordings from the ...

In this tutorial, we explore the mathematical underpinnings of Hebbian learning within Hopfield networks, emphasizing its role in pattern recognition.