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

Massive rounds for AI, EDA, and manufacturing; 80 startups raise $8.4B.

Every transformer layer has two major components: self-attention and a feed-forward network (FFN). The attention mechanism lets tokens "look at" each other and gather contextual information. The FFN ...

Together.ai releases Mamba-3, an open-source state space model built for inference that outperforms Mamba-2 and matches Transformer decode speeds at 16K sequences. Together.ai has released Mamba-3, a ...

I'm going to give you clues for two four-letter words. Put an "r" between them to complete a common nine-letter word. This week's challenge comes from Greg VanMechelen, of Berkeley, California. Name ...

Both Evangelion and Transformers have seen their fair share of crossovers in recent years. NERV has, in the past, fought against the King of the Monsters, Godzilla, as Hideaki Anno’s Shin Universe ...

Hasbro is betting big on Transformers: Cyberworld, the latest animated incarnation of the franchise. IGN can exclusively reveal that Cyberworld will be getting a second season this summer, as well as ...

Ra’anana, Israel, Feb. 05, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (RVSN) (“Rail Vision” or the “Company”), an early commercialization stage technology company seeking to revolutionize railway ...

Abstract: Transformer architectures have emerged as promising deep learning (DL) tools for modeling complex sequence-to-sequence interactions in channel decoding ...

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely a mystery. By Carl Zimmer In 2024, two scientists from Google DeepMind ...