Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and take actions, such as invoking program-analysis tools. As a result, they ...

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

Results from the first MLC-SLM Challenge showed that Speech LLMs have achieved strong performance in speech recognition, while there remains significant room for further exploration in speaker ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

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 new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has ...

As global artificial intelligence (AI) development becomes increasingly concentrated among a handful of large technology players, the United Arab Emirates (UAE) is pursuing a different path. Rather ...