Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...

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.

Ai2 releases Bolmo, a new byte-level language model the company hopes would encourage more enterprises to use byte level ...

Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of this process; ...

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

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

A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), featuring a ...

With the U.S. in the middle of a ‘critical’ shortage of power transformers, utilities are facing lead times in years instead of months for new equipment. However, some utilities are undergoing efforts ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook The bigger question in all this will be recasting the G.I. Joe characters. The 2000s live-action G ...