Online text recognition models have advanced significantly in recent years due to enhanced model structures and larger datasets. However, mathematical expression (ME) recognition, a more intricate task, has yet to receive comparable attention. Unlike text, MEs have a...

The landscape of AI language models is dynamic and ever-evolving, with each model bringing unique capabilities and applications. Check out the tweet on X by @bindureddy, CEO of Abacus.AI, on the insane Llama 3 contribution to the open-source. Let’s delve into the...

Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Among these models, Diffusion Models (DMs) have garnered...

Earlier, with the adoption of computer vision, its studies weren’t content to only scan 2D arrays of flat “patterns.” Rather, they sought to understand images as projections of 3D scenes. Initially, researchers created several intermediate tasks to help with this...

In a recent study, a team of researchers from Google DeepMind explored the potential benefits of powerful Artificial Intelligence (AI) assistants as well as the threats to society and ethics. These assistants are characterized as artificial agents with natural...

Have you ever wondered how complex phenomena like fluid flows, heat transfer, or even the formation of patterns in nature can be described mathematically? The answer lies in partial differential equations (PDEs), which are powerful tools used to model and understand...