IntroductionIn June 2026, Zscaler ThreatLabz identified a new malware family, tracked as SloppyRAT, that is likely leveraged by a ransomware-related threat actor. ThreatLabz observed SloppyRAT being ...

The goalposts keep moving on quantum computing attaining commercial viability. Learn the missing links: fault tolerance, ...

An AI agent combines a model with instructions, tools, memory, and a control loop. Understanding how those parts interact ...

With the growing prevalence of artificial intelligence (AI), demand increases for hardware that mimics the brain’s ability to ...

Microcontrollers now process computer vision locally with neural hardware, running models like YOLO without cloud ...

GenClaw explores code-driven agentic image generation: instead of only rewriting prompts, an image generation agent uses code as a controllable visual canvas before calling image generation models for ...

For enterprise developers, Harness may ultimately be the more consequential part of Thursday’s announcement. Models can increasingly be swapped behind standardized interfaces.

AI-related jobs span the org chart from gig work to AI accelerators to the C-suite.

Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...

I’m Adam Conway, an Irish technology fanatic with a BSc in Computer Science and I'm XDA’s Lead Technical Editor. My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional ...

Abstract: Adversarial attacks introduced subtle perturbations to input images to mislead classification models into producing incorrect predictions. Training models using adversarial examples defended ...