New Trinity Biotech Clinical Trial Data Shows Its CGM+ Technology Tackles a Major CGM User Problem by Going Beyond Glucose-Only Monitoring

Analysis of over 5,000 hours of clinical wear data validates Trinity Biotech’s CGM+ 's purpose-built capability to distinguish nocturnal compression-related false lows from true blood glucose lows - ...
GovInfoSecurity

Quantum Breakthroughs Compress Post-Quantum Computing Timeline

Resource-efficient, error-corrected quantum computers will arrive sooner than expected, experts say, as breakthroughs appear and snowball. Microsoft, Google and ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Huawei claims up to 90:1 data reduction ratio with new compression card

Huawei's HZU Algorithm Aims for 90:1 Compression in New OceanProtect Backup Systems ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
Tech Times

AI Model Compression for $1,000: Ora Computing Uses Quantum Physics to Beat Hardware Lock-In

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...
IEEE

A New Text Compression Algorithm Based on Index Permutation and Suffix Coding

Abstract: The rapid generation and utilization of text data, driven by the proliferation of the Internet of Things (IoT) and large language models, has intensified the need for efficient lossless text ...
techtimes

Advanced Algorithm Development Reshapes 4K Video Compression Technology with GPU-Accelerated Processing Breakthroughs

"Optimization demands understanding hardware constraints at the silicon level," reflects Shaibujan Thankappan Kamalamma, whose career spans video codec work, streaming systems, and enterprise security ...
The Verge

Google’s TurboQuant algorithm aims to slash AI memory usage.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...
Seeking Alpha

Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...
VentureBeat

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

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Ars Technica

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

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...