It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization ...

Quantum computing represents an existential threat to modern cryptographic defenses, particularly for non-human identities—machines, IoT devices, workloads, applications, services and APIs—which rely ...

Abstract: The deep deterministic policy gradient (DDPG) algorithm is an off-policy method that combines two mainstream reinforcement learning methods based on value iteration and policy iteration.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

t-Distributed Stochastic Neighbor Embedding with Particle Swarm Optimization (TSNE-PSO) is an enhanced version of t-SNE that uses Particle Swarm Optimization instead of gradient descent for the ...