Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

WiMi innovatively combines the robust feature extraction capabilities of QCNN with the dual-discriminator architecture to construct a hybrid quantum-classical generative adversarial framework. The ...

Overview: Free university playlists offer clear and accessible AI lessons backed by real classroom teaching.Videos explain machine learning, deep learning, NLP, ...

Senior Manager Ranjeet Kumar drives data reliability through AI-driven observability, synthetic data generation, and ...

It’s useful to think of our engagement with algorithms as a social contract. Political theorists have long used the social contract as a device to explain why individuals submit to the authority of a ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Energy systems are incredibly complex, incorporating a dizzying array of power generators, distribution technologies and ...

One of the largest Cloudflare hosting providers, whose services are used by many Internet resources, has experienced a ...

India], November 19: In a major milestone for India’s rapidly advancing artificial intelligence ecosystem, ATOMESUS AI Pvt.

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Young scientists Dr. Boris Karanov and Dr. Frank Rhein receive grants from the Carl Zeiss Foundation for their projects.

Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.