Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Kanter. "In artificial neural networks, each object needs its own output unit to be recognized, whereas the brain can use one neuronal output, where its activity as a function of time differentiates ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...

A collaborative study led by Professor Vittoria Raffa at the University of Pisa and Assistant Professor Fabian Raudzus ...

The brain doesn't merely register time—it structures it, according to new research from the Kavli Institute for Systems ...

The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural ...

Artificial intelligence (AI) is increasingly becoming integrated into our lives in both our personal and professional environments from virtual assistants, navigation, smart appliances and social ...

The Best Illusion of the Year contest offers researchers, and participants, an opportunity to explore the gaps and limits of ...

We close the loop by using some decision-making and algorithms with an easy-to-use perceptron neural network to guide the inspector or engineer without spending too much time or data analysis." ...

And running logic-gate networks is cheap, fast, and easy: in his talk at the Neural Information Processing Systems (NeurIPS) conference, Petersen said that they consume less energy than perceptron ...