Following the success of large language models, the concept of large materials models as deep-learning computational models for materials design has attracted great interest. Nevertheless, the task of ...

A new study weighs the positive and negative impacts of LLMs based on the exposure of tasks to the technology and their potential to be transformed by AI. Large language models (LLMs), the AI programs ...

Researchers in China have built a large language model-based scheduler that outperforms traditional and reinforcement learning methods for autonomous vehicle fleets by combining demand forecasting, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Beyond bothering large language models (LLMs) with funny questions, there’s the general idea that they can act as supporting tools. Theoretically they should be able to assist with parsing and ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

“ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the ...

Artificial intelligence systems are increasingly entrusted with answering questions, supporting decisions and generating content. Yet researchers have identified a surprising weakness in many of today ...