AI, as it’s built now, does not have thoughts. It makes informed guesses. The transformers underlying today’s models are ...

Advanced context engineering in GTM strategies involves a sophisticated, multilayered approach that transforms how sales ...

Tackling a composite challenge that combines multi-stage task planning, long-context work, environment interaction, and ...

In other words, an LLM gateway helps with increasing resiliency and scalability while reducing costs. Given that most ...

Discover how Dassault Systèmes is revolutionizing Electronics Innovation in the High-Tech industry by bringing the proven ...

Models are the new microprocessors, and context is their raw material. This shift expands IT services from competing for IT ...

The approach reflects a broader shift in renewable energy insurance, where engineering analysis increasingly drives ...

A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT ...

This technical report proposes a formal semantics for EMV2 and shows how to leverage this semantics to generate fault trees from an AADL model enriched with EMV2 information.

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

Tasked with honoring the school’s 150th anniversary, Brigham Young University engineers combined the school’s values of ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.