Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks. From ...

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph ...

Quantum software startup Classiq Technologies Ltd. said today it has partnered with Comcast Corp. and Advanced Micro Devices Inc. to showcase how quantum computers can dramatically enhance network ...

ZeroTier reports that enterprise networks should prepare for post-quantum cryptography to adapt and protect against future quantum attacks.

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

A group of researchers have developed an algorithm designed to prevent threat actors from disrupting quantum communication channels across an entire network. Researchers from Italy's Politecnico di ...

Quantum security is not just about new algorithms – operators must tackle key issues and untangle crypto sprawl before quantum decryption arrives ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

A technical paper titled “Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology” was published by researchers at Intel Labs, University of ...