Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

With IRT, we are holding our curriculum to the same psychometric standards used by major testing institutions, such as ...

Abstract: Industrial processes often exhibit multiple operational modes, driven by variations in production conditions, raw material properties, or operational settings. A single predictive model ...

While generative AI has helped unlock creativity, agentic AI is now unlocking autonomy. However, the real transformation lies not in the technology, but in how enterprises design for it. As ...

Please provide your email address to receive an email when new articles are posted on . Machine learning may identify patients with congenital heart disease at highest risk for experiencing gaps in ...

WASHINGTON — The U.S. Army is evaluating refinements to its officer promotion system to better align talent and performance with evolving mission requirements. As part of this effort, the Army Medical ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

Abstract: A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. To improve adaptability and ...

SAN FRANCISCO, Oct. 06, 2025 (GLOBE NEWSWIRE) -- MasterQuant, one of the leading quantitative investment platforms, has launched its new AI trading bot, an intelligent trade machine that improves ...