Cyber-attacks have become more frequent, targeted, and complex as the exponential growth in computer networks and the development of Internet of Things (IoT). Network intrusion detection system (NIDS) ...
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models ...
The Rajasthan Board of Secondary Education (RBSE) has just released RBSE Model Sample Paper 2026 for class 10 and class 12, which is a crucial resource for all students preparing for the upcoming ...
Large language models are no longer just productivity tools or coding assistants; they are rapidly becoming force multipliers for cybercrime. As guardrails on mainstream systems tighten, a parallel ...
This article introduces the Black Sea Battle Lab (BBL) logic model, a framework designed to trace how Ukraine’s operational responses to Russia’s invasion link strategic pressures to measurable ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
Creative suite company Canva launched its own design model on Thursday that understands design layers and formats to power its features. The company also introduced new products and features, updates ...
On Earth, CI chondrites make up only 1% of all meteorites that have been collected, but they may be far more common on the moon. Fragments of a rare type of meteorite have been found in the sample of ...
Attack success depended on sample count, not dataset percentage. Larger models were no harder to poison than smaller ones. Clean retraining reduced, but did not always remove, backdoors. It turns out ...
Meta is shifting the goalposts in the AI coding race. The company has released its Code World Model (CWM), a powerful 32-billion-parameter system designed not just to write code, but to fundamentally ...
Abstract: Existing image restoration models are typically designed for specific tasks and struggle to generalize to out-of-sample degradations not encountered during training. While zero-shot methods ...