WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced that they are researching the use of neural ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
IEEE

Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control

Abstract: Support Vector Machine (SVM) is a supervised machine learning algorithm, which is used for robust and accurate classification. Despite its advantages, its classification speed deteriorates ...
VentureBeat

AI joins the 8-hour work day as GLM ships 5.1 open source LLM, beating Opus 4.6 and GPT-5.4 on SWE-Bench Pro

Is China picking back up the open source AI baton? Z.ai, also known as Zhupai AI, a Chinese AI startup best known for its powerful, open source GLM family of models, has unveiled GLM-5.1 today under a ...
Ventureburn

Standard Kernel Raises $20M to Automate GPU Software Optimisation

Standard Kernel secures $20M seed round to advance AI-driven GPU kernel generation. Funding will accelerate platform development, enterprise deployments, and adaptive systems capabilities. The ...
SiliconANGLE

Zymtrace raises $12.2M to optimize AI workload performance across GPU infrastructure

Artificial intelligence infrastructure optimization platform startup Zymtrace announced today that it has raised $12.2 million in funding, including a newly closed $8.5 million seed round, to develop ...
VentureBeat

Meet AlphaEvolve, the Google AI that writes its own code—and just saved millions in computing costs

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...
Nature

Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine

Motor Imagery (MI) is a psychological process that involves the mental simulation or imagination of a movement without actually performing it. In the fields of neuroscience and BCI, motor imagery is ...
Nature

Deep Kernel learning for reaction outcome prediction and optimization

Recent years have seen a rapid growth in the application of various machine learning methods for reaction outcome prediction. Deep learning models have gained popularity due to their ability to learn ...
Scientific Research Publishing

Optimizing Memory Access Efficiency in CUDA Kernel via Data Layout Technique ()

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing.