Innatera builds neuromorphic chips. They are proving extremely efficient for applications in smart doorbells and more, but ...

We applied GeMIMO to the Transformer model, and the results showed that temporal encoding had no significant effect, while positional encoding was only effective in the decoder. Moreover, the ...

An efficient spatiospectral Transformer, which removes self-attention from the decoder, is proposed to enhance the self ... By decoding each mask token conditionally independently, only a subset of ...

When water freezes into ice or boils into vapor, its properties change dramatically at specific temperatures. These so-called phase transitions are fundamental to understanding materials. But how do ...

Transformers fans can now pre-order rereleases for two overlooked and previously exclusive Transformers: War for Cybertron ...

Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

LaMaTE is a high-performance and efficient translation model that utilizes large language models(LLMs) as machine translation(MT) encoders, paired with lightweight ...

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Variscite VAR-SOM-AM62P specifications: SoC – Texas Instruments Sitara AM62P5 CPU 4x Arm Cortex-A53 @ 1.4 GHz up to 12,880 DMIPS Arm Cortex-R5F real-time core up to @ 800 MHz GPU – 3D GPU with OpenGL ...

Understanding videos with AI requires handling sequences of images efficiently. A major challenge in current video-based AI models is their inability to process videos as a continuous flow, missing ...