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 ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over ...

AI that once needed expensive data center GPUs can run on common devices. A system can speed up processing, and makes AI more ...

Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...

Small language models, agentic systems, scientific AI, and niche multimodal tools are rapidly redefining what AI can do, who ...

Cody Pierce is the CEO and founder of Neon Cyber. He has 25 years of experience in cybersecurity and a passion for innovation. Large language models (LLMs) have captured the world’s imagination since ...

As manufacturers embrace Industry 4.0, smart factories and connected operations, a different reality is emerging: smaller, ...

Because these models are trained on a retailer’s internal data, they respond with accuracy and consistency. That reliability ...