Apparently, there are a couple of LLMs which are gaining traction with cybercriminals. That's led researchers at Palo Alto ...

Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.

We're living through one of the strangest inversions in software engineering history. For decades, the goal was determinism; building systems that behave the same way every time. Now we're layering ...

Modern IDEs come with AI tools baked in. There is no escape from their Sauron-like gaze. If AI offers up mostly reasonable, generic solutions, will new developers "crack their heads" on hard problems ...

It began as a note stuck to the wall during a 2018 brainstorming session at Experian plc’s consumer business unit. The ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...

They recognize AI’s challenges and long-term unknowns, but they also believe that with proper guardrails, AI is already ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Two LLM platforms, WormGPT 4 and KawaiiGPT, demonstrate that AI tools are becoming increasingly accessible to cybercriminals.

Understanding Microsoft Q# Fundamentals Alright, let’s get started with the basics of Microsoft Q#. If you’re new ...