JadePuffer agentic attacks now target AI model data with ransomware

The JadePuffer autonomous AI agent has upgraded with custom malware called EncForge that focuses on encrypting AI assets, ...
CIO

19 AgentOps tools for monitoring AI activity, issues, and costs

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...
MIT Technology Review

Meet GPT-Red: an LLM super-hacker OpenAI built to make its models safer

OpenAI has built an LLM super-hacker called GPT-Red that it uses as a sparring partner to help its other models boost their ...

I let NotebookLM turn months of unread articles into a video I actually watched

Why is it so hard to read the files I saved? My Google Chrome is full of long reads that all seemed important enough to ...
Polygon

Valve confirms Steam Machine price and release details

Valve's new Steam Machines will arrive this summer and start at $1,049, the company announced Monday. Valve, which released its new Steam Controller in May and has a new VR headset coming called Steam ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Journal of Medical Internet Research

Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Fortunately, our findings suggest that machine learning methods, particularly those combining clinical features and radiomics, hold promise for improving predictive accuracy. Our meta-analysis may ...
IEEE

Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models

Abstract: Artificial intelligence (AI) has been increasingly applied to solve complex real-world problems. One of the most significant challenges in AI lies in selecting and fine-tuning the optimal ...