Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...

Multiview isn't a feature you bolt on. It's an architecture decision that shapes which devices you can reach, how much you pay to operate at scale, and how much control your product team has over the ...

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

Everyone assumes the rise of GPT-style models made encoder-decoder architecture obsolete. That assumption is wrong, and it is quietly causing teams to build the wrong systems for the wrong reasons.

To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...

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.

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...

An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...

In this work, different Long Short-Term Memory (LSTM) encoder-decoder artificial neural networks are investigated. These networks differ in their complexity. The aim of this work is to evaluate ...