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 Apple Silicon and llama.cpp.

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...
Frontiers

The Applications of AI Techniques in Medical Data Processing

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
IEEE

Research on Deep Learning-Based Optimization Algorithms for IoT Communication

Abstract: The rapid proliferation of Internet of Things (IoT) devices has brought new challenges in designing efficient, adaptive, and communication-aware optimization strategies under strict resource ...
ahajournals.org

Abstract WP306: Comparative Efficacy of Traditional Algorithms and Deep Learning Models for Stroke Detection Using MRI Imaging: A Systematic Review and Meta-Analysis

Introduction: Stroke remains a leading cause of morbidity and mortality globally, with a 23% relative annual increase in incidence worldwide and a staggering 87% rise in the United States alone.
IEEE

A Comparative Study on Deep Reinforcement Learning Algorithms for Optimization of Video Transcoding Parameters : A Comparative Study of DQN and SAC Algorithms

Abstract: With the rapid growth in video surveillance demand, systems often handling tens of thousands of video channels pose significant storage challenges. Maximizing compression efficiency while ...
Scientific Research Publishing

Vanishing Gradients in an Artificial Deep Neural Network: The Impact of Activation Functions and Optimization Techniques ()

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...
ahajournals.org

Abstract 4340723: Comparative Study of Coronary Artery Disease (CAD) Prediction: Conventional QRISK3 vs. Enhanced Machine Learning Models Combined with Particle Swarm ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...
Search Engine Land

Top Performance Max optimization tips for 2026

Performance Max has evolved dramatically since its 2021 launch. If you’re still running campaigns like it’s 2023, you’re leaving serious performance gains behind. With Google rolling out enhanced ...