AI Past, Present and Future
This presentation provides an introductory talk to the field of Artificial Intelligence (AI), tracing its evolution through key milestones and breakthroughs. We will explore the foundational requirements for AI, including the critical role of big data, and high-performance computing (HPC). The presentation will highlight AI's potentials, such as natural language processing (NLP), image processing, and diverse applications in scientific research. Additionally, we will address the inherent limitations of AI, focusing on security challenges, and the risks of data leakage. This introduction aims to equip participants with an understanding of AI's capabilities and constraints, fostering informed discussions about its future impact
Date and Time
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- Date: 08 Oct 2024
- Time: 12:00 PM to 01:30 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Co-sponsored by Ali Daneshmand
- Starts 23 July 2024 05:16 PM
- Ends 08 October 2024 05:08 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Ifana of Faculteit der Natuurwetenschappen, Wiskunde en Informatica Informatics Institute
AI Past, Present and future
This presentation provides an introductory talk to the field of Artificial Intelligence (AI), tracing its evolution through key milestones and breakthroughs. We will explore the foundational requirements for AI, including the critical role of big data, and high-performance computing (HPC). The presentation will highlight AI's potentials, such as natural language processing (NLP), image processing, and diverse applications in scientific research. Additionally, we will address the inherent limitations of AI, focusing on security challenges, and the risks of data leakage. This introduction aims to equip participants with an understanding of AI's capabilities and constraints, fostering informed discussions about its future impact
Biography:
DR. Adam S.Z. Belloum is university lecturer and researcher at the MultiScale Networked Systems (MNS) part of Systems and Networking Lab (SNE) of the informatics institute of the University of Amsterdam. He received the MSc and PhD degrees from the Université de Technologie de Compiègne, France. He is leading the research on optimal scheduling of complex distributed data intensive scientific application on e-Infrastructure, and developing methods and techniques for managing data across federated storage. He has participated in several Dutch research programs (VLAMG, VL-e, COMMIT, and Comit2Data) and EU-funded projects (gSLM, VPH-share, EDISON, and PROCESS). He has published more than 80 articles in international conferences and journals. Currently leading research activities in two research projects logistics on Data logistics for (DL4LD ), and health Enabling Personal Interventions(EPI ). For more information, see also https://aszbelloum.wixsite.com/aszbelloum/.
Email:
Address:Science Park 904, , Amsterdam, Netherlands, 9423
Agenda