Enhancing chromosome detection in metaphase cell images
ChromTR, a novel framework for chromosome detection in metaphase cell images, represents a significant advancement in the ...
Science Daily13d
Improved brain decoder holds promise for communication in people with aphasia
A new AI-based tool can translate a person's thoughts into continuous text, without requiring the person to comprehend spoken words. This latest advance suggests it may be possible, with further ...
scienceopen.com15d
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
Modern systems for automatic speech recognition, including the RNN-Transducer and Attention-based Encoder-Decoder (AED), are designed so ... We discover that the transformer-based encoder adopted in ...
GitHub15d
State-of-the-art Machine Learning for the Web
Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...
IEEE20d
Contrastive Self-Supervised Learning-Based Background Reconstruction for Hyperspectral Anomaly Detection
The DAN encoder is constructed by the vision transformer (ViT) and channel attention module ... A transfer learning model is constructed based on the DAN encoder and a lightweight decoder, which is ...
BioSpace22d
Ecotone Releases First Diffusion Transformer AI Model in Vision of Reading the Human Genome as a First Language
Our vision at Ecotone is to achieve the same level of fluency ... Named in recognition of its ambitious scope, dnaSORA adapts advanced diffusion transformer (DiT) technology—previously used in cutting ...
provideocoalition.com28d
NVIDIA RTX 5090 is for creators, not gamers: all you need to know
It’s the fastest card for gaming… but it’s all a trick, and the conversation about fake frames has just started. But if you’re into AI or heavy video rendering, NVIDIA’s new RTX 5090 may be the card ...
IEEE28d
Hierarchical Meta-Heuristic Encoder-Decoder Architecture With Next-Generation Imaging for Consumer-Centric Segmentation of Diabetic Foot Ulcers
This work proposed an approach named Hierarchical Meta-Heuristic Encoder-Decoder Architecture (HM-EDA) integrated with Next-Generating Imaging (NGI) for consumer-centric segmentation of Diabetic Foot ...