Recurrent cancers are not captured in a standardized way by US tumor registries, making it difficult to conduct research on risk factors for cancer recurrence. We developed rule-based algorithms to be ...

OpenAI on Saturday announced the OpenAI Partner Network — its first formal global partner program — investing $150 million to help consulting firms, systems integrators, and technology specialists ...

Abstract: Dynamic quadratic programming (DQP) widely exists in many optimization applications. Existing recurrent neural networks (RNNs) exhibit significant limitations in solving DQP, including ...

Share on Pinterest A large study suggests that AI-supported stroke care could lead to better patient outcomes. Image credit: TEK IMAGE/SCIENCE PHOTO LIBRARY/Getty Images A new study suggests that a ...

The Australian biotech company Cortical Labs recently posted a video in which 200,000 living human neurons grown on a silicon chip played the 1993 first-person shooter Doom. The neuron-controlled main ...

SAN FRANCISCO, Feb 18 (Reuters) - Cisco Systems (CSCO.O), opens new tab and startup Qunnect said on Wednesday that they have built and operated a quantum network between Brooklyn and Manhattan in New ...

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...