In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

The hype around generative AI (GenAI) is undeniable. Tools like ChatGPT have captivated the public imagination, demonstrating an impressive ability to generate human-like text, create content and ...

As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...

Tiiny AI has demonstrated a 120-billion-parameter large language model running fully offline on a 14-year-old consumer PC.

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

VLJ tracks meaning across video, outperforming CLIP in zero-shot tasks, so you get steadier captions and cleaner ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward ...