Opinion
New Platform Challenges AI Industry Hype, Advocates for Embodied Intelligence Over Language Models
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 ...
Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
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 ...
As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...
India has nearly 1.4 billion people and is one of the most linguistically diverse countries in the world, with more than 1,500 languages and dialects spoken across different regions. For AI systems ...
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 ...
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 ...
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