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 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 ...

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 ...

Most electronic components available today are just improved versions of what was available a few years ago. Microcontrollers get faster, memories get larger, and sensors get smaller, but we ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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 ...

In particular, machine learning (ML) is one of the most popular fields in AI, and one of the most ground-breaking scientific tools of our age. Deep learning, a subfield of ML, employs artificial ...

Neural networks generate abstract images designed to activate particular cells, lending insight into their function. “It’s exciting because it’s bridging the fields of deep learning and neuroscience .