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 ...

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

Artificial intelligence is often explained through algorithms, hardware breakthroughs, and the rapid rise of powerful models. What is frequently missing from that narrative is the human story behind ...

Imagine arriving at a busy location with people moving around and a multitude of visual and other sensory cues vying for your ...

ParAMD is a shared memory parallel implementation of the approximate minimum degree (AMD) algorithm with multiple elimination via distance-2 independent sets. For more information, please read our ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Viewshed analysis is a critical process within Geographic Information Systems (GIS) that determines the visibility of terrain from a given observation point. Recent progress in parallel computing has ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...