An artificial neuron made of conductive plastics that can perform advanced functions similar to those of biological nerve ...

Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...

A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...

'Underwater' car trade-ins are at a 4-year high: What that means when buying a new vehicle 'I like not-working better': A ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

Google Ads is giving long-requested transparency. You can now see site-level impressions for Google Ads Search, Shopping, and App campaigns. Advertisers can now see exactly where their Search, ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...