IEEE

Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees

Abstract: Computational imaging has been revolutionized by compressed sensing algorithms, which offer guaranteed uniqueness, convergence, and stability properties. Model-based deep learning methods ...
VentureBeat

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
VentureBeat

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
IEEE

DSA: Efficient Data-Plane Memory Scheduler for In-Network Aggregation to Accelerate Distributed Training

Abstract: To reduce the traffic volume and accelerate communication in distributed training (DT) jobs, recent works introduce In-Network Aggregation (INA) to move the gradient summation into network ...
python-hub

Let’s Face DSA Together

I hope you all are doing well. Today I am bringing a new series: Let’s Face DSA Together! -A guide for a complete newbie like me. If you have struggled with this many times before, I assure you you’ll ...
EURACTIV

FTC chair warns US platforms not to weaken privacy by applying EU's DSA

Andrew Ferguson, Chairman of the US Federal Trade Commission. [EPA/WILL OLIVER] The chairman of the Federal Trade Commission (FTC), Andrew Ferguson, sent letters to 13 major US tech platforms on ...