In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables ...

The ability to run large language models (LLMs), such as Deepseek, directly on mobile devices is reshaping the AI landscape. By allowing local inference, you can minimize reliance on cloud ...

The introduction of large language models into the EDA flow could significantly reduce the time, effort, and cost of designing secure chips and systems, but they also could open the door to more ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

If you’re interested in using AI to develop embedded systems, you’ve probably had pushback from management. You’ve heard statements like: While these are legitimate concerns, you don’t have to use ...

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

The use of large language models (LLMs) as an alternative to search engines and recommendation algorithms is increasing, but early research suggests there is still a high degree of inconsistency and ...

Noting a growing demand for artificial intelligence (AI) that can run on edge devices with microcontrollers (MCUs) and microprocessors (MPUs), NXP Semiconductors has unveiled tools to enable ...