Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Generative AI is a type of artificial intelligence designed to create new content by learning patterns from existing data.

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

A cornerstone of SAP’s announcements is Retail Intelligence, a new solution within SAP Business Data Cloud that applies AI to ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Background: Fundus vessel segmentation is crucial for the early diagnosis of ocular diseases. However, existing deep learning-based methods, although effective for detecting coarse vessels, still face ...

The company says the new model is four times faster than its previous iteration, much better at following prompts, and can edit images more precisely. OpenAI released its previous image-generation ...

Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...

A Charlotte County man encountered a nearly 12-foot Burmese python on Tuesday night in Rotonda West, Florida. The snake was spotted on Medalist Drive, stretching halfway across the road. Wade Gardner, ...

Microsoft's new AI image model is available to test. It's in Bing Image Creator, Bing mobile app, and Bing search bar. You can test it against OpenAI's image models. Ever use Microsoft Copilot or Bing ...

In a leap for clinical research, MIT researchers have created an AI-based system set to shake up how medical images are annotated, a task essential to the study of biomedical images. The new tool, ...

Abstract: Medical image segmentation is critical for disease diagnosis and treatment assessment. However, concerns regarding the reliability of segmentation regions persist among clinicians, mainly ...