New Google TurboQuant algorithm improves vector search speed

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.
IEEE

Collaborative Optimization of Air Compressor Units Based on MSI-BWO Algorithm

Abstract: To improve the operational efficiency of compressor units and reduce waste, a Multi-Strategy Improved Beluga Whale Optimization (MSI-BWO) algorithm is proposed for the collaborative ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Northwestern's McCormick School of Engineering

Strong Northwestern CS Presence at ICLR 2026, ICRA 2026, and NeurIPS 2025

Scheduled in April in Rio de Janeiro, ICLR 2026 focuses on cutting-edge research on deep learning used in the fields of ...
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 ...