The Real A.I. Threat Is in

Divers made the first video ever of this shark in the Med - then got back to work on the real threat

Volunteer divers had the astonishing encounter while retrieving abandoned fishing nets from a shipwreck.

Real-Time Threat Detection from Surveillance Cameras using Machine Learning

arXiv:2606.05708v1 Announce Type: new Abstract: Ensuring public safety in densely populated urban environments remains a critical challenge, necessitating the deployment of intelligent and automated video surveillance systems. Traditional surveillance approaches rely heavily on manual monitoring, which is inefficient and susceptible to human fatigue, delayed response, and observational errors. To overcome these limitations, this work presents a real-time object detection-based surveillance...

Forget Coders. The Real A.I. Threat Is in the Back Office.

As artificial intelligence spreads, millions of middle-class jobs in human resources, billing and payroll could be at risk. Most are held by women.

Forget Coders. The Real A.I. Threat Is in the Back Office.

As artificial intelligence spreads, millions of middle-class jobs in human resources, billing and payroll could be at risk. Most are held by women.

Young voices special

Is the nuclear threat real? What does Putin want? Who is winning the war in Ukraine?

Anyone with a trampoline warned never to make this 'serious' summer mistake

Anyone with a trampoline warned never to make this 'serious' summer mistake Experts warn that trampolines can be hazardous, especially for kids, if you don't use them with care. If you've ever owned a trampoline, you'll know that it provides endless entertainment for all ages. However, as the nice weather continues, parents are being warned against making one critical trampoline mistake that could pose a real safety threat.

Intercomparison of Machine Learning Algorithms for Remote Sensing-based In-season Crop Mapping

arXiv:2606.05731v1 Announce Type: new Abstract: In-season crop type mapping is critical for food security in the face of increasingly extreme climate-related threats to crops. Currently, the USDA Cropland Data Layer provides crop type labels at 30m resolution and is available the February after harvest, but no product exists that maps crop types before harvest with satisfactory accuracy that would allow emergency managers to respond to crop threats in near real time.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents

arXiv:2605.08876v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous agents that execute tool-augmented, multi-step tasks, where latency is a critical factor for real-world applications. Yet an overlooked threat is Reasoning-Level Denial-of-Service (R-DoS), in which an attacker preserves task correctness but degrades availability by inflating an agent's reasoning depth or tool-use budget.

European absence can make Chelsea a threat - Rooney

European absence can make Chelsea a threat - Rooney