Emerging Voice in Tech Analysis Questions Trillion-Dollar AI Valuations and Points to Robotics as True Future of Artificial Intelligence The real value of AI will come from the systems we build around ...

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 ...

“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...

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 ...

Large Language Models (LLMs) such as GPT-class systems have entered undergraduate education with remarkable speed, provoking ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in contemporary artificial intelligence.

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 ...