The new image generator, called HART (short for Hybrid Autoregressive Transformer), can generate images that match or exceed the quality of state-of-the-art diffusion models, but do so about nine ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...

Researchers have successfully taught robots to make coffee and draw pictures by combining powerful language algorithms with ...

Predicting Categories and Ingredients of Traditional Dishes Using Deep Learning and Cross-Attention Mechanism. Open Access Library Journal, 12, 1-12. doi: 10.4236/oalib.1112846 . Image recognition and ...

Meta Platforms META is beginning to test its previously announced Community Notes from today. The program replaces its ...

To address this, we propose a novel efficient and secure content-based image retrieval scheme in cloud-assisted IoT. Specifically, our scheme leverages lattice-based fully homomorphic encryption and ...

AI21’s newly debuted Maestro platform is designed to address challenge. The platform, which is described as an AI planning ...

To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.

AI agents and machine learning step up to transform data resilienceBy Tracy Burrows for Veeam Software South AfricaJohannesburg, 07 Mar 2025Visit our company zoneIan Engelbrecht, system engineering ...

Abstract: The advancement of cloud-assisted Internet of Things (IoT) has amplified the usability for secure and searchable image retrieval, addressing the growing demand for privacy protection in ...

The course provide an introduction to the theory behind key machine learning algorithms used in image analysis. Furthermore, selected methods and tools for deep learning are described.