As industrial control systems (ICS) grow in complexity and interconnectedness, traditional network security frameworks are increasingly insufficient to counteract contemporary cyber threats. The progressive integration of artificial intelligence (AI) is revolutionizing industrial cybersecurity,
NVIDIA has introduced "Garak," a groundbreaking Generative AI Red-teaming & Assessment Kit designed to analyze and mitigate vulnerabilities in Large Language Models (LLMs). As LLMs become increasingly integral to artificial intelligence, their powerful text-generation capabilities
The stunning growth of artificial intelligence within the technology sector has caused significant disruptions across numerous industries, with the most recent controversies revolving around the use of AI to train chatbots using dialogues from thousands of films and TV shows, including classics
In an era where artificial intelligence continues to shape the contours of technology and industry, the US Patent and Trademark Office (USPTO) has taken a definitive stance on the use of generative AI for most purposes. Citing security concerns and the potential for bias, unpredictability, and
Google's recent introduction of Gemini x114 stands as a groundbreaking milestone in the realm of artificial intelligence, outshining even the much-celebrated GPT-4. The model's capabilities are nothing short of extraordinary, having achieved record-breaking scores in AI performance tests.
Artificial intelligence (AI), particularly large language models (LLMs) like GPT-4, has made significant strides in mimicking human language and interactions across various fields. Yet, a critical question persists: how effectively can AI emulate and articulate cultural traits and nuances? This