Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...
eLife

Modality-agnostic decoding of vision and language from fMRI

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
IEEE

Large Language Model-based CSI Feedback for Massive MIMO Systems

Abstract: Recently, large language models (LLMs) have gained much attention in next-generation wireless communications due to their adaptability to the dynamic wireless environment. One application of ...

Study confirms that guessing before learning improves memory in language learning

Learning a second language is becoming increasingly popular worldwide, with millions of people turning to digital tools and ...
EurekAlert!

NUS study confirms that guessing before learning improves memory in language learning

Learning a second language is becoming increasingly popular worldwide, with millions of people turning to digital tools and mobile applications to pick up a new language at their own pace. But what ...
Communications of the ACM

Evaluating General-Purpose AI with Psychometrics

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...
IEEE

Deep Reinforcement Learning-Based Task Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey

Abstract: With the development of intelligent transportation systems, vehicular edge computing (VEC) has played a pivotal role by integrating computation, storage, and analytics closer to the vehicles ...

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...