Latest Articles for Data Processing

A new model improves robot perception and processing of 3D environments.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

New tools and devices improve machine learning processing efficiency.

Learn about innovative methods for real-time pattern matching in data streams.

A new GPU-based GEMM design offers speed and real-time error correction.

A new self-supervised method enhances document segmentation accuracy using visual data.

A web app for efficient image classification powered by cloud technology.

A look at few-shot learning and the role of bootstrapped training in improving models.

Combining traditional tech with new methods for efficient probabilistic computing.

Learn how DSA improves data management in modern processors.

VCoT combines text and images to improve computer understanding.

Exploring the efficiency of sparse neural networks and the SRIGL method.

A novel approach to reasoning over documents combining tables and text.

Testing FT-BLAS against leading libraries shows strong performance and effective fault tolerance.

A technique that streamlines the processing of images and videos.

New methods improve music tagging and retrieval using less human input.

GALOIS offers a flexible solution for managing IoT data efficiently at the edge.

This research focuses on improved task management in autonomous systems through efficient data processing.

Exploring how hardware acceleration improves edge computing performance.

New techniques for deploying machine learning models in power-constrained devices.

Enhancing object detection accuracy using scene flow in point cloud processing.

A new approach improves table detection using less labeled data.

Learn how Avatars improve student models in machine learning.

A new method improves recognition of biomedical terms with limited training data.

Improving radiology reports through data retrieval and text generation methods.

A programming language simplifies writing and executing graph algorithms across various hardware.

DAS-N2N uses machine learning to improve seismic data collection by reducing noise.

TaLU activation function improves deep learning tasks and handles negative input values.

Non-Autoregressive Proxy models enhance data assessments without full output generation.

CXL offers improved memory performance for modern server processors.

A new model enhances document segmentation using advanced transformer techniques.

A new training method improves neural networks' accuracy and robustness against altered inputs.

TyRE enhances regex parsing with type safety and structured output.

A new method enhances depth maps using two types of cameras for robotics.

A look into matching sizes and their importance in graph theory.

A new model improves accuracy in automatic medical coding from clinical texts.

A new system that enhances video comprehension through conversation and analytics.

A new method boosts language model reasoning and handles distractors effectively.

Examining the current state and future potential of 3D technology.

Understanding D-SVM and its role in distributed machine learning.