Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

QpiAI Achieves High-Speed Quantum Error Correction on Superconducting Systems with New Decoder Platform

Custom hardware enables real-time error correction on 64-qubit Kaveri quantum processor, achieving ‘significant ...
TMCnet

Atom Computing Announces Strategic Collaboration with Cisco to Advance Scalable, Networked, and Distributed Quantum Computing

Under the terms of the MOU, Atom Computing and Cisco will collaborate to address critical challenges in distributed quantum computing, including physically linking neutral-atom qu ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Crypto Briefing

Jensen Huang: Extreme co-design is essential for modern computing, the slowing of Moore’s Law demands innovation, and Nvidia’s strategic shift to AI reflects market ...

Extreme co-design is necessary for solving modern computational problems that exceed the capabilities of a single computer.

SEALSQ Deploys Post-Quantum Cryptography to Secure Blockchain and Digital Transaction Infrastructures Through the Deployment of Post-Quantum Cryptographic (PQC) Technologies

To protect transaction integrity and identity, SEALSQ can integrate post-quantum digital signatures into blockchain transactions, ensuring long-term non-repudiation and resistance ...

Building trust in the future of quantum computing

Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to ...
BeInCrypto

Ocean Network Wants to Turn Idle GPUs Into a Global Pay-Per-Use Compute Market

Ocean Network links idle GPUs with AI workloads through a decentralized compute market and editor-based orchestration tools.
IEEE

Exploration of Design Alternatives for Reducing Idle Time in Shor's Algorithm: A Study on Monolithic and Distributed Quantum Systems

Abstract: Shor's algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-level modular ...
TMCnet

Better Together: Why Scale Computing's Acquisition of Adaptiv Networks Makes Sense for the Distributed Enterprise

The edge of the enterprise network has become a crowded and contested place. Distributed organizations with anywhere from a few to hundreds or even thousands of locations are asking more of their ...
IEEE

Efficient Discrete-Time Distributed Least-Squares Algorithms Without Step-Size Tuning

Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...