Generative AI could be part of this continuum. It introduces a new form of linguistic mediation: dialoguing with a machine ...

AI tools promised a cleaner workflow: fewer busywork tasks, faster drafts, instant summaries, and a steady stream of done. Yet ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Abstract: In this paper, a convergence-enhanced iterative learning control algorithm with a tuning parameter is presented for a class of repetitive discrete-time ...

WCET analysis is essential for proving multicore real-time systems meet safety-critical deadlines under all operating conditions.

Abstract: This article addresses high-precision trajectory tracking for fully actuated hexarotor unmanned aerial vehicles (UAVs) subject to model uncertainty and external disturbances. To exploit the ...

By: Kobus Vermeulen - Direct Sales Executive, Process Automation at Schneider Electric As process industries hurtle toward an AI-driven future, four powerful trends are set to redefine automation ...

New HyperFRAME research finds infrastructure velocity is now the primary constraint on enterprise AI progress ATLANTA, GA / ACCESS Newswire / March 5, 2026 / QumulusAI, a distributed AI infrastructure ...

Late defect discovery erodes yield, profit, and reliability. Here’s why inspection coverage and failure analysis drive ...

Integration of non-communicable diseases (NCDs) prevention, screening and treatment into maternal, newborn and child healthcare (MNCH) services has become increasingly important as countries address ...

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.