Quantum computing firm Xanadu has launched a new research initiative with defense giant Lockheed ...

A new study by an international team of scientists has outlined the potential for a new class of robots that can match the capabilities of humans. These advances are driven by the convergence of ...

Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...

Japanese firms Toshiba and MIRISE Technologies have demonstrated a breakthrough in autonomous mobility. The ...

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American Since then, robots have been used in many ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

About a year and a half ago, quantum control startup Quantum Machines and Nvidia announced a deep partnership that would bring together Nvidia’s DGX Quantum computing platform and Quantum Machine’s ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

SEALSQ Corp (NASDAQ: LAES) (“SEALSQ” or the “Company”), a global leader in semiconductors, PKI, and post-quantum cryptography (PQC) hardware and software solutions, today announced a live ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...