AI model GPT-4o accurately extracts brain circuit data from scientific literature, offering a faster, reliable way to advance ...

Digital healthcare, personalized remote therapy, and increasing demand for accessible rehabilitation services are fueling the telerehabilitation market. INDORE, INDIA, June 6, 2025 /EINPresswire.com/ ...

This article discusses the three most common reliability prediction techniques for the failure rates of ICs and how safety ...

This important study investigates frequency-dependent effects of transcutaneous tibial nerve stimulation (TTNS) on bladder function in healthy humans and, through a computational model, shows that low ...

The Sycamore computer is a special kind of computer built by Google that uses tiny particles called qubits to do calculations ...

To generate certified randomness, the team used a method called random circuit sampling, or RCS. The idea is to feed the quantum computer a series of tough problems, known as challenge circuits.

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

This test, 83-qubit, 32-layer random circuit sampling task, was also completed 1 million times faster than the result set by ...

The company’s new paper – Phase Transition in Random Circuit Sampling – published on the open access science website ArXiv, demonstrates a more powerful device that aims to end the debate.