Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
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, ...

Qtonic Quantum Debuts Industry's First Independent Scoring Platform for Post-Quantum Cryptography at RSAC 2026

MIAMI, FL / ACCESS Newswire / March 24, 2026 / Qtonic Quantum Corp, the independent post-quantum cybersecurity advisory firm, today announced the launch of Qtonic Quantum Lab (qtonicquantum.com/lab), ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
Frontiers

Estimating rice yield-related traits using machine learning models integrating hyperspectral and texture features

Rapidly estimating multiple trait indicators simultaneously, nondestructively, and with high precision is an important means of accurate diagnosis in modern phenomics. Increasing the accuracy of ...
IEEE

Evaluating the Effectiveness of Dimensionality Reduction on Machine Learning Algorithms in Time Series Forecasting

Time series analysis is a critical task across various scientific and industrial domains, enabling the extraction of valuable insights from temporal data. High dimensionality of time series data can ...
C&EN

Clustering and Analyzing Ensembles of Residue Interaction Networks from Molecular Dynamics Simulations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Network methods and molecular dynamics (MD) simulations have become essential tools ...
C&EN

EncoderMap III: A Dimensionality Reduction Package for Feature Exploration in Molecular Simulations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...
Frontiers

SuperTac - tactile data super-resolution via dimensionality reduction

The advancement of tactile sensing in robotics and prosthetics is constrained by the trade-off between spatial and temporal resolution in artificial tactile sensors. To address this limitation, we ...
ahajournals.org

Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree‐Based Dimensionality Reduction

Abnormal ventricular depolarization, evident as a broad QRS complex on an ECG, is traditionally categorized into left bundle‐branch block (LBBB) and right bundle‐branch block or nonspecific ...