Elon Musk’s neural implant startup Neuralink has turned 10 this year. Neuralink was founded in June 2016. Musk funded it with ...

Miri Technologies Inc. has begun shipping its highly anticipated V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution. Winner of a 2026 NAB Show ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.

The encoder–decoder architecture sits quietly behind many of the most impactful AI systems we use today—machine translation, speech recognition, text summarization, and modern large language models.

Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

Large Language Models (LLMs) like ChatGPT and Bard are built on sophisticated architectures that enable them to process and generate text efficiently. Two key architectures are Encoder-Decoder models ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Deep learning transformer-based models using longitudinal electronic health records (EHRs) have shown a great success in prediction of clinical diseases or outcomes. Pretraining on a large dataset can ...