(Nanowerk News) Machine learning and artificial intelligence are becoming increasingly widespread with applications ranging from computer vision to text generation, as demonstrated by ChatGPT. However ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

Share on Facebook (opens in a new window) Share on X (opens in a new window) Share on Reddit (opens in a new window) Share on Hacker News (opens in a new window) Share on Flipboard (opens in a new ...

Video conferencing is a ubiquitous tool for communication, especially for remote work and social interactions. However, it is not always a straightforward plug and play experience, as adjustments may ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

In a recent Communications Chemistry article, researchers presented a novel approach to interfacing with neuronal structures using light-responsive azobenzene polymer thin films. Image Credit: ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Scientists at the University of Zurich have developed an innovative neural cell culture model, shedding light on the intricate mechanisms underlying neurodegeneration. Their research pinpointed a ...

AI models are power hogs. As the algorithms grow and become more complex, they’re increasingly taxing current computer chips. Multiple companies have designed chips tailored to AI to reduce power draw ...

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...