Changing AI math could reduce the hardware burden, researchers show

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...
IEEE

A Novel Energy Management Strategy Integrating Deep Reinforcement Learning and Rule Based on Condition Identification

Abstract: In order to reduce the driving cost of plug-in hybrid electric vehicles, a novel energy management strategy integrating deep reinforcement learning and rule based on condition identification ...
IEEE

Physics-aware multi-channel vector quantization for hybrid digital twin modeling of UAV systems

Abstract: As big data technologies continue to transform industrial manufacturing, digital twin (DT) systems powered by artificial intelligence (AI) are becoming key enablers in shaping the emerging ...
Occupational Health & Safety

Vector Solutions Puts Responsible AI and Gamified Training at the Forefront of Workplace Safety

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...

The Nexus Of Quantum Computing And The AI Trade

With a 23% holdings overlap as of April 2026, WTAI and WQTM offer complementary exposure to the shared pursuit of greater ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Virtualization Review

Running AI Locally, Part 2: From VMware Context to Hands-On Tools

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.