Artificial intelligence has already transformed how we innovate, predict, and compete. Quantum computing promises to do the ...

Quantum computing can boost the accuracy of battery material simulations, optimize power grid flows and enhance the design of ...

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and ...

Quantum AI, the combination of artificial intelligence and quantum computing, aims to leverage the unique capabilities of quantum systems to enhance AI algorithms and solve complex problems beyond ...

Quantum machine learning (QML) is transitioning from research to practical business applications. Discover how QML is ...

While quantum hardware remains immature, companies say they found another way to put complex quantum algorithms to work: running them on the same chips used for powering artificial intelligence.

The system uses extremely sensitive quantum magnetometers to acquire data from Earth’s crustal magnetic field, which exhibits geographically unique patterns – similar to a human fingerprint. AQNav ...

But it involves a core principle of AI—pattern recognition. As you play, you track the cards you've seen and haven't, forming a mental picture of the remaining possibilities.

Additionally, quantum computers and classical machine learning each excel at different kinds of problems. Modern deep-learning algorithms detect patterns within their training data.

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.