Abstract: Automatic modulation classification (AMC) is one of the fundamental technologies in adaptive communication systems, supporting various tasks such as spectrum surveillance and cognitive radio ...
Abstract: Accelerated magnetic resonance imaging (MRI) re-construction is a challenging and ill-posed inverse problem due to severe k-space undersampling. In this paper, we propose ReconFormer-EDR, a ...
READING, Pa.—Miri Technologies has unveiled the V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution, which will make its world debut at ISE 2026 ...
Today’s most powerful AI tools – the ones that can summarise documents, generate artwork, write poetry or predict how incredibly complex proteins fold – all stand on the shoulders of the “transformer” ...
Tel Aviv, Israel, Jan. 16, 2026 (GLOBE NEWSWIRE) -- Viewbix Inc. (Nasdaq: VBIX) (“Viewbix” or the “Company”), an advanced technologies company, today ...
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Transformer encoder architecture explained simply
We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
Most of the worries about an AI bubble involve investments in businesses that built their large language models and other forms of generative AI on the concept of the transformer, an innovative type ...
This bounty is for bringing up the Time Series Transformer model using TTNN APIs on Tenstorrent hardware (Wormhole or Blackhole). Time Series Transformer is a vanilla encoder-decoder Transformer ...
In a striking act of self-critique, one of the architects of the transformer technology that powers ChatGPT, Claude, and virtually every major AI system told an audience of industry leaders this week ...
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