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Registration and abstract submission can be done at the following link, after payment of the requisite
registration fee: : https://forms.gle/KjP5ZCCNg8ofMu748
Conference Objectives
• Foster Innovation and Research: Encourage the exploration and presentation of innovative ideas, methodologies, and technologies in the fields of artificial intelligence and machine learning.
• Bridge Academia and Industry: Facilitate collaboration between academic institutions and industry professionals to ensure that educational programs align with current industry needs and expectations.
• Promote Knowledge Exchange: Create a platform for sharing insights, experiences, and best practices among researchers, practitioners, and students, enhancing collective understanding of AI and ML.
• Explore Emerging Trends: Discuss the latest advancements and future directions in AI and machine learning, including topics such as deep learning, generative AI, cybersecurity, and the impact of 6G technology.
• Encourage Networking Opportunities: Provide attendees with opportunities to connect with experts, peers, and potential collaborators, fostering relationships that can lead to future research partnerships or career advancements.
• Highlight Real-World Applications: Showcase practical applications of AI and machine learning across various industries to illustrate their transformative potential in solving real-world challenges.
• Promote Diversity in AI Research: Encourage participation from a diverse group of researchers and practitioners to enrich discussions and perspectives on the ethical implications of AI technologies.