WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Karl Knox discusses how to future-proof Europe’s finance and business leaders through aligned education, policy and industry ...

New professional development programme helps UK teachers integrate artificial intelligence tools into classroom practice without requiring technical expertise Teachers need practical AI skills they ...

Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...

Abstract: The use of deep learning (DL) for channel state information (CSI) feedback has garnered widespread attention across academia and industry. The mainstream DL architectures, for example, ...

Besides expanding Mandarin and Tamil in national schools, the Education Ministry is exploring the inclusion of Asean ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

DAKAR, Senegal, Dec. 2, 2025 /PRNewswire/ -- The Future Learning Institute (FLI) by Agilix, a global leader in AI-powered and mobile-first offline learning systems, will present its work in ethical AI ...

SAO PAULO, Nov 10 (Reuters) - Retired Formula One world champion Sebastian Vettel said he would be open to a new role in the sport, provided it was meaningful. The German, who won four titles with Red ...

Through these master agreements, the Maine DOE is ensuring that Maine educators have affordable opportunities to deepen their expertise and strengthen literacy instruction for all students.

We believe open source hardware will be essential to building data centers that meet the growing demands of AI. At this week’s Open Compute Project Global Summit, we shared our open hardware ...

Abstract: Deep learning methods have been widely employed to diagnose faults in power converters. However, it is challenging to diagnose multiple faults in two-stage charging power modules. Besides, ...