WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

Private 5G and 6G connectivity could drive major changes in enterprise IT, supporting real-time, distributed process-control ...

In early February 2026, the Bitcoin market remained under sustained pressure. Driven by macroeconomic uncertainty, a broad pullback in risk ...

According to DataM Intelligence, the Photonics-Electronics Convergence Technology Market reached USD 18,033.07 million in 2023, rose to USD 21,535.09 million in 2024, and is projected to surge to USD ...

GridGain donated the original Ignite code to The Apache Software Foundation (ASF) in 2014. GridGain is a Bronze Sponsor of the ASF, with several members of the GridGain team serving as active ...

New workload demands are turning data handling into a system-level design challenge rather than a back-end afterthought.

NVIDIA : Delivers optimized, GPU-accelerated computing platform for distributed inference workloads, offers technical guidance on distributed inference architectures, and facilitates connections to ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...

After all, some of the early iterations of AI browsers basically took the Chromium engine, added a slightly modified UI, and replaced the traditional search bar on the home page with a chatbot prompt.

ZKP draws attention with its 190M daily token model as Solana price hits unusual levels and Story crypto slides, reshaping ...

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.