A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Liquid neural networks’ promise smaller, smarter and more transparent AI. And they’re already running on devices from drones ...

A team at the University of Tokyo has developed a new Bayesian neural network called VBayesMM, which can detect real biological relationships rather than random correlations.

We are transitioning into real-world AI: an evolution from treating AI purely as a knowledge retrieval system to AI acting as ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Artificial intelligence startup Anthropic PBC says it has come up with a way to get a better understanding of the behavior of the neural networks that power its AI algorithms. Because neural networks ...

The study has been published in the journal " Science Advances." What is needed for a neural network in machine learning are artificial neurons which are activated by external excitatory signals, and ...

In interviews with The Daily Cardinal, tech leaders Jim Thompson, Mike Trigg and Allen Dines reflect on how AI has shaped ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

BMW leverages AI and process intelligence across its data platforms to optimize production, logistics and customer experience ...