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 ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

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 ...

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 ...

Rainbow, an autonomous multi-robot lab, accelerates quantum dot discovery with AI, enabling up to 1,000 daily experiments for next-gen technologies. (Nanowerk News) Researchers at North Carolina State ...

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 ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

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 ...

The robotics industry is experiencing an unprecedented transformation driven by advancements in artificial intelligence, automation, and machine learning. Robotics technology is no longer a futuristic ...