Image captioning strives to generate pertinent captions for specified images, situating itself at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This endeavor is of paramount importance with far-reaching applications in recommendation systems, news outlets, social media, and beyond. Particularly within the realm of news reporting, captions are expected to encompass detailed information, such as the identities of celebrities captured in the images. However, much of the existing body of work primarily centers around understanding scenes and actions. In this paper, we explore the realm of image captioning specifically tailored for celebrity photographs, illustrating its broad potential for enhancing news industry practices. This exploration aims to augment automated news content generation, thereby facilitating a more nuanced dissemination of information. Our endeavor shows a broader horizon, enriching the narrative in news reporting through a more intuitive image captioning framework.

We often see users and run automated tasks in response, working bots working on software repositories, e.g., to as an interface between users and services. Bots can support technical and social projects, which typically face sustainability activities in software engineering, including issues. The adoption of bots may help free communication and decision-making. In open-source (or inner-source) is no exception [1], [2]. Given the essential projects, bots can leverage the public availability complexity of software projects and the large of software assets, including source code, discussions, community of people around them (stakeholders, issues and comments, to target more designers, developers and, let's not forget, significant contributions.

Researchers reported a deep learning model sorted images of decorated pottery shards as accurately as (and occasionally more precisely than) four expert archaeologists did. A key piece of an archaeologist's job involves the tedious process of categorizing shards of pottery into subtypes. Ask archaeologists why they have put a fragment into a particular category and it's often difficult for them to say what exactly had led them to that conclusion. "It's kind of like looking at a photograph of Elvis Presley and looking at a photo of an impersonator," said Christian Downum, an anthropology professor at Northern Arizona University. "You know something is off with the impersonator, but it's hard to specify why it's not Elvis."