2025 is the 40th anniversary of the MIT Media Lab. In the coming year, people are going to be talking a lot about the lab’s ...

Structured Mixed Precision for Efficient Deep Learning Hardware Codesign” was published by Intel. Abstract “In this paper, we ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

Then, we describe the proposed architecture in its baseline and variant versions, P300 datasets, re-implemented SOA algorithms, training strategies, and CNN explanation. Lastly, we illustrate the ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases ...

For years, Elon Musk has talked about Dojo — the AI supercomputer that will be the cornerstone of Tesla’s AI ambitions. It’s ...

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University ...

Chains of smaller, specialized AI agents aren't just more efficient — they will help solve problems in ways we never imagined.

In today’s fast-evolving landscape of artificial intelligence, Aditya Singh, a researcher specializing in distributed ...