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 ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

Overview: Free university playlists offer clear and accessible AI lessons backed by real classroom teaching.Videos explain ...

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 ...

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

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

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

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 ...

In a major milestone for India’s rapidly advancing artificial intelligence ecosystem, ATOMESUS AI Pvt. Ltd., headquartered in ...

We have now entered a new era of artificial intelligence that is characterized by autonomy, multimodality, and an unmatched ...