A technical paper titled “Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers” was published by researchers at Microsoft. “Transformer-based models have ...

CAVG is structured around an Encoder-Decoder framework, comprising encoders for Text, Emotion, Vision, and Context, alongside a Cross-Modal encoder and a Multimodal decoder. Recently, the team led by ...

What do OpenAI’s language-generating GPT-3 and DeepMind’s protein shape-predicting AlphaFold have in common? Besides achieving leading results in their respective fields, both are built atop ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

Generative Pre-trained Transformers (GPTs) have transformed natural language processing (NLP), allowing machines to generate text that closely resembles human writing. These advanced models use deep ...

Rotary quadrature encoders often are used to command digital potentiometers or digital controllers, and quadrature decoding is typically performed in a programmable device (like an FPGA or ...