Hybrid Conference (In Person / Virtual)

International Conference on Artificial Intelligence, Machine Learning, and Scientific Discovery (ICAI-MLSD - 27)
12th - 13th March 2027 , Washington Dc, USA
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Washington Dc. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Washington Dc conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Washington Dc and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICAI-MLSD provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Computational Science, Data Science, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
AI techniques for scientific discovery
02
Machine learning in healthcare applications
03
Data-driven approaches in scientific research
04
Ethical considerations in AI applications
05
AI for environmental sustainability solutions
06
Robotics and AI in scientific exploration
07
AI-driven innovations in engineering
08
Applications of AI in social sciences
09
Machine learning for climate modeling
10
AI in materials discovery and design
11
Big data analytics in scientific research
12
AI for enhancing scientific collaboration
13
Challenges in AI-driven scientific methods
14
Interdisciplinary applications of AI
15
AI for optimizing research processes
16
Machine learning in drug discovery
17
AI applications in physics and chemistry
18
Future directions in AI and science
19
AI for data visualization in research
20
Collaborative AI in scientific communities

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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