Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

Abstract: Code retrieval, which retrieves code snippets based on users' natural language descriptions, is widely used by devel-opers and plays a pivotal role in real-world software development. The ...

Abstract: Neural network-based decoding methods show promise in enhancing error correction performance but face challenges with punctured codes. In particular ...

Open source robotics AI platform LeRobot surpassed 58,000 community datasets in 2026 — 50x growth in under a year — making it the largest dataset category on Hugging Face and signaling a ...

Let's be honest, the team behind Love and Deepspace know that you're probably too invested in this game by now to be put off by a little thing like a lack of regular codes. While most gacha games keep ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...