Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...
Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
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 ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.
Large vision-language models are improving at describing images, yet hallucinations still erode trust by introducing contradictions and fabricated details that limit practical applications. In ...
LLM4AD is an open-source, modular, and user-friendly platform designed for automatic algorithm development leveraging large language models (LLMs). With DeepSeek models as the default LLMs, the ...