International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Powell's FOMC sparks algorithmic volatility: yields jump, stocks tumble, gold slumps, oil rallies. Drew Dosek's technical market recap, trade setups & outlook.

Abstract: This paper discusses the design and implementation of parallel processing algorithm for big data under the framework of high performance computing (HPC). In the design of parallel processing ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers should consider incorporating physical forces now missing from even ...

Efficient Large Displacement/Large Rotation Dynamic Simulations Using Nonlinear Dynamic Substructures Utilizing reduced-order ...

Abstract: This letter proposes a parallel physics-informed neural network (PINN) algorithm for solving time-domain electromagnetic simulations. This method first decomposes the global computational ...