In this video, we break down BERT (Bidirectional Encoder Representations from Transformers) in the simplest way possible—no ...

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, ...

AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.

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

Advances in natural language processing and large language models have sparked growing interest in modeling DNA, often referred to as the”language of life”. However, DNA modeling poses unique ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models ...

Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...

A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked ...

Trias is an encoder-decoder language model trained to reverse-translate protein sequences into codon sequences. It learns codon usage patterns from 10 million mRNA coding sequences across 640 ...

Abstract: Due to the presence of so many image manipulating tools and technologies, the problem of image tampering has become widespread, resulting in a range of misleading and adverse consequences, ...