Researchers have developed an alternative method to encode information in synthetic molecules, which they used to encode and then decode an 11-character password to unlock a computer.

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DNA language model GROVER learns sequence context in the human genome. Nature Machine Intelligence, 2024; DOI: 10.1038/s42256-024-00872-0 ...

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

Computer programming is an innovative cognitive tool that has transformed modern society. Two of the most widely used programming languages for web development are java and python. Therefore, source ...

Even though AMD's AV1 encoder doesn't outright beat its competitors, it is much better than AMD's H.264 encoders which have been sitting behind Nvidia and Intel's on a consistent basis.

Google AI researchers provide a unified vision backbone model called Contrastive Captioner in “CoCa: Contrastive Captioners are Image-Text Foundation Models” (CoCa). The proposed model is a novel ...

First repo demonstrating online decoding capability of RNN Transducer (RNN-T) Port RNN-T model to ONNX and OpenVINO A large scale training on diverse voice datasets for RNN-T with apex and data ...