(PMZN) Ctoph Exchange Deploys Modular Trading Architecture to Enhance Platform Scalability and Institutional Flexibility

Beyond performance benefits, the modular architecture strengthens operational governance by enabling clearer separation of responsibilities across trading, risk, and compliance layers. Each module can ...
IEEE

Efficient Neural Architecture Search for Split Computing via Supernet Fine-Tuning

Abstract: Split Computing (SC) is a method that partitions a deep neural network into a head model running on resource-constrained edge devices and a tail model executing on powerful servers. The edge ...
IEEE

Hybrid Computing Architecture Based on Analog Phase-Change Memory Chips for Deep Neural Network Training

Abstract: Deep neural networks (DNNs) have revolutionized fields like image recognition and natural language processing but face limitations with traditional von Neumann architectures due to high ...
Morning Overview on MSN

IBM and Google say quantum computers are coming by 2029

Quantum computing has long lived in the realm of lab demos and bold PowerPoint slides, but two of the industry’s biggest ...
Opinion

The 3D-Flow Architecture Breakthrough: A Universal, Scalable Digital Processor for Real-Time Pattern Recognition in High-Rate Data Streams -- A Platform to Save Millions of ...

Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...