This video covers two breakthroughs that push “mind reading” from fiction into early reality: UT Austin decoding language ...

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and generative shape priors to ...

Silicon Valley has historically rewarded deep specialization. Yet as AI shifts from a niche discipline into the backbone of ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

A scientist in Japan has created a technique that uses fMRI brain scans and artificial intelligence to generate sentences ...

Abstract: This letter introduces a novel semantic-based full-duplex (FD) cooperative communication system for haptic interactions, specifically addressing scenarios where direct communication paths ...

Abstract: Due to the limited bandwidth and severe noise interference in underwater acoustic channels, underwater image transmission typically requires a coding scheme with a high compression ratio and ...

Artificial intelligence is starting to do more than transcribe what we say. By learning to read the brain’s own electrical ...

V, a multimodal model that has introduced native visual function calling to bypass text conversion in agentic workflows.

It’s a bizarre scourge afflicting editors and writers, casual readers, and pretty much anyone pondering a word for any length of time. Consider the word flower. F-l-o-w-e-r. Flowers. The flower in the ...

Google's real-time translator looks ahead and anticipates what is being said, explains Niklas Blum, Director Product ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...