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

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

New AI method advances prediction of Brazil's national soybean yield

A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...
InfoWorld

Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
IEEE

Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...
Tech Xplore

Latam-GPT: a Latin American AI to combat US-centric bias

GPT, an open-source artificial intelligence model for the region, designed to combat bias inherent in a US-centric industry.
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
IEEE

Silent Data Corruption in AI: A Growing Challenge for Large-Scale Machine Learning

Abstract: As Artificial Intelligence (AI) and Machine Learning (ML) scale to HPC-class workloads, reliability and data integrity emerge as critical concerns. Silent Data Corruption (SDC), or hardware ...
techtimes

Why Data Teams Are Abandoning Fragmented Stacks for Unified Platforms

Enterprise data infrastructure is at a breaking point. Organizations are drowning in complexity as they struggle to manage the increasing demands of real-time analytics, personalized customer ...