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 ...
MIT Technology Review

AI is already making online swindles easier. It could get much worse.

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be happening.

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, ...
IEEE

A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding

Abstract: The combination of deep unfolding with vector approximate message passing (VAMP) algorithm, results in faster convergence and higher sparse recovery accuracy than traditional compressive ...
Frontiers

Large Language Models for Knowledge-Intensive Domains: Methods, Systems, and Evaluation

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.
Devdiscourse

Hybrid AI can reduce failures and energy use in manufacturing robots

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
IEEE

Fraudulent Credit Card Transaction Monitoring Using Deep Learning: A CNN-LSTM Approach for Single-Transaction Security Identification

Abstract: Credit card cash-out methods have become increasingly complex, with new fraudulent transaction forms emerging continuously. Effective management is hindered by challenges in obtaining ...