AI Horizons: Present Status and Visions for the Next Era
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 2615
Special Issue Editors
Interests: artificial intelligence; computer science; machine learning and deep learning; computer vision; high energy astrophysics
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore artificial intelligence's (AI’s) transformative impact across a multitude of scientific and practical domains, beyond the confines of experimental methodologies.
AI has emerged as a cornerstone in reshaping research landscapes, driving innovation, and fostering unprecedented advancements in how we gather, analyze, and interpret data. Its potential to revolutionize research practices and accelerate scientific discovery is immense, and its influence extends far beyond traditional experimental frameworks, permeating every aspect of scientific inquiry and application. In this Special Issue, we will investigate the current state of AI integration across varied fields, and discuss its future prospects.
The articles in this Special Issue will cover a wide range of topics, including but not limited to cutting-edge machine learning algorithms for predictive analytics, AI's role in enhancing data acquisition, processing, and interpretation, the automation and optimization of workflows through intelligent systems, strategic AI-driven decision-making, and the ethical implications and considerations of deploying AI solutions in diverse settings.
The contributions to this Special Issue will provide valuable insights into the benefits and limitations of utilizing AI, highlighting the ways in which AI technologies can augment human capabilities in various fields. Researchers, scientists, and practitioners from diverse domains are invited to submit their original research, reviews, and perspectives on the evolving landscape of AI applications.
Dr. Antonio Pagliaro
Dr. Pierluca Sangiorgi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- experimental methodologies
- machine learning
- deep learning
- data analysis
- predictive modeling
- image recognition
- robotics and automation
