From creating art and writing code to drafting emails and designing new drugs, generative AI tools are becoming increasingly indispensable for both business and personal use. As demand increases, they ...

Learn how to build an AI tool step by step, from data and models to deployment, with tips for success and promotion strategies.

A system that generates images by inducing random fluctuations in a laser beam could slash energy use compared with standard ...

A new study finds that many popular image datasets used to train AI models are contaminated with test images or ...

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

It utilizes three benchmark datasets on diabetic retinopathy: APTOS 2019, IDRiD, and Messidor-2. Initially, these datasets are merged, resulting in a total of 5922 fundus images. Then this fused ...

Senior AI Engineer - Subsurface Intelligence (GroundIQ) modelling Join Us in Shaping the Future of Subsurface Intelligence!

This is the first experiment of Image Segmentation for OTU-3d (Ovarian Tumor 3d) based on the Tensorflow-Image-Segmentation-API, In this experiment, we aim to demonstrate that ...

The generator you’re using may have been “poisoned”. What is ‘data poisoning’? Text-to-image generators work by being trained on large datasets that include millions or billions of images.