Spiking neural networks (SNNs) running on neuromorphic computers offer an energy-efficient alternative for AI tasks. Recently, spiking graph neural networks (S-GNNs) have been shown to produce ...

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...

The partners are working together to bring the world’s first fault-tolerant quantum computers to the AWS cloud within the ...

Researchers from the University of Sydney, working with IBM, have identified and quantified important factors limiting the ...

The same weaknesses leave organizations exposed to both AI-enabled attacks and delayed cryptographic migration.

Quantum computing threatens the blockchain ecosystem, from Bitcoin to Ethereum and beyond, and Algorand has a plan to be ...

Microsoft's 2029 quantum supercomputer ambitions may have hit a roadblock, as critics claim the company's 2025 quantum ...

Deep diffractive neural networks have emerged as an all-optical computing paradigm that overcomes the bottlenecks of traditional electronic computing. However, traditional deep diffractive neural ...

With dozens of companies, from small startups to tech giants, pursuing quantum computing, there’s a steady flow of results as they try to find a path to utility. We typically focus on new technologies ...

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of ...

Microsoft’s Majorana 2 chip uses a new material stack that promises quantum computing much sooner. Microsoft’s Majorana 2 chip uses a new material stack that promises quantum computing much sooner. is ...

QTUM surged 86% over the past year with direct qubit exposure, while ARKQ returned 76% through active quantum-adjacent positioning. The Department of Commerce committed $2 billion in CHIPS Act funding ...