On April 18, 2025, the United States Court of Appeals for the Federal Circuit ("Federal ... relied on “generic” machine learning techniques (e.g., neural networks, support vector machines ...

The Core Issue: Generic Machine Learning Applications vs. Technological Improvements The Federal Circuit affirmed a lower court's dismissal of the patent infringement claims, concluding that ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation ...

Researchers developed a single photodiode sensor that detects full-color light using perovskite materials, impedance data, ...

The reduction in circuit depth is critical for achieving practical quantum machine learning on current devices, which are often limited by gate fidelity and qubit count. The increased robustness ...

AI refers to any machine that is able to replicate human cognitive skills, such as problem solving. Over the second half of the 20th century, machine learning emerged as a powerful AI approach that ...

cognitive modeling and neural networks, image and signal processing, predictive modeling and statistical learning. In order to include the analyst and human user side, our AI, Machine Learning & ...