B2B E-commerce platforms help tech businesses sell to other companies. Explore 2025’s top picks with key features, pricing, ...

MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, low-cost control in tight and rough spaces.

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

From writing emails and analyzing client data to brainstorming marketing ideas, mortgage professionals are embracing AI to ...

abstract-The real data distribution of a specific category tends to approach a low-dimensional manifold in the Riemannian space, and the manifolds of different categories do not intersect in ...

I did feel that the day was going to come eventually, but it’s not a song I ever wanted to sing,” Julian Lennon told me in ...

Joseph Chung and Joseph Abella’s fusion of dubstep, trance and techno has found favour with millions of listeners globally ...

The study aims to enhance the accuracy and practicability of CT image segmentation and volume measurement of ICH by using deep learning technology. A dataset including the brain CT images and clinical ...

keywords: Vision Transformer, Swin Transformer, convolutional neural networks, image registration This is a PyTorch implementation of my paper: Chen, Junyu, et al. "TransMorph: Transformer for ...

The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of the query image and ...