Global Professionals Achieve Verified Recognition Through Web Developer Certification and Credly Digital Credentials

Professionals worldwide gain standardized recognition for web development skills through assessment-based certification ...

GRN Energy Evolves into GRN Bi, Launching Business Intelligence Platform for AI-Driven Infrastructure

DE, UNITED STATES, January 10, 2026 / EINPresswire.com / — GRN Energy today announced its evolution into GRN Bi (GRN Business ...
IEEE

Multi-Layer Tsetlin Machine: Architecture and Performance Evaluation

Abstract: Tsetlin Machine (TM) is a recent automaton-based algorithm for reinforcement learning. It has demonstrated competitive accuracy on many popular benchmarks while providing a natural ...
Tech Xplore

AI data centers could stabilize the power grid

The rapid development and widespread use of artificial intelligence (AI) systems is posing new challenges for electricity ...
Power Technology

Redefining load forecasting and management: how AI is making smart grids smarter

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Electra at CES 2026 with live Demonstrations of Battery Intelligence for e-Mobility, Energy Infrastructure, and Robotics

LAS VEGAS, NV, UNITED STATES, January 6, 2026 / EINPresswire.com / — Electra Vehicles, the leader in AI-driven battery intelligence, opened CES 2026 today with live demonstrations of its EVE-Ai™ ...

Self-configuring optical devices automatically learn how to sort out light

Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...

AMD Introduces Ryzen AI Embedded Processor Portfolio, Powering AI-Driven Immersive Experiences in Automotive, Industrial and Physical AI

AMD Ryzen AI Embedded Processor. News Highlights. New AMD Ryzen™ AI Embedded P100 and X100 Series processors combine ...
IEEE

Protocol-Agnostic and Packet-Based Intrusion Detection Using a Multi-Layer Deep-Learning Architecture at the Network Edge

Abstract: Intrusion Detection (ID) faces multiple challenges, including the diversity of intrusion types and the risk of false positives and negatives. In an edge computing context, resource ...