Feb 17, 2025 · Modern computer vision systems have superhuman accuracy when it comes to image recognition and analysis, but they don’t really understand what they see. At IBM Research, we’re …

Apr 22, 2025 · It is the first “any-to-any” multi-modal generative AI model for Earth observation. This means it can self-generate additional training data from other modalities — a technique IBM …

To address this issue, IBM Research has developed an AI model that uses computer vision to detect tiny cracks in high-resolution images collected by drones. It is a Foundation Model trained on …

Apr 20, 2023 · The last time generative AI loomed this large, the breakthroughs were in computer vision. Selfies transformed into Renaissance-style portraits and prematurely aged faces filled …

In this paper, we connect technical insights from deep learning scaling laws and transfer learning with the economics of IT to propose a framework for estimating the cost of deep learning computer …

Apr 15, 2021 · Another team has applied deep learning methods to tackle problems traditionally solved with classical computer vision approaches. As deep learning models require large …

Jun 23, 2022 · In a pair of papers at this year’s Computer Vision and Pattern Recognition Conference , IBM researchers show that an image classifier pretrained on synthetic data and fine-tuned on …

Therefore, it is crucial to meticulously review, thoroughly explore, and comprehensively survey MU for computer vision (CV) through this tutorial. Within this tutorial, we will delve into the algorithmic …

Feb 26, 2025 · To close this gap, IBM Research set out to build an open-source vision-language language model (VLM) that could analyze not only natural images but the charts, tables, and …

The emergence of Vision-Language Models (VLMs) is a significant advancement in integrating computer vision with Large Language Models (LLMs) to enhance multi-modal machine learning …