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2024-10-29 to 2024-10-31
This program delves into how AI can transform pharmacy practice by improving drug discovery, personalizing patient care, and streamlining pharmaceutical operations. Participants will learn about AI-driven predictive analytics, machine learning models for treatment customization, and robotics in medication management.
2024-11-02 to 2024-11-04
This three-day workshop delves into advanced image processing techniques, object detection and segmentation algorithms, and cutting-edge facial recognition methods. Participants will engage in hands-on sessions and case studies to understand the practical applications and challenges in computer vision.
2024-11-05 to 2024-11-07
This workshop focuses on using data science and AI for predictive maintenance in the manufacturing industry. Participants will learn how to build predictive models, analyze equipment data, and prevent failures through early detection. The program includes hands-on experience with real-world industrial datasets.
2024-11-10 to 2024-11-12
This three-day workshop covers emerging AI technologies, quantum computing’s impact on AI, and the societal implications of AI advancements. Participants will engage in discussions, case studies, and interactive sessions to understand future AI trends and their broader impact.
2024-11-15 to 2024-11-17
R programming has become an essential tool in biological research for data analysis, bioinformatics, and statistical computing. This 3-day workshop is designed specifically for biologists who seek to develop their coding skills and enhance their ability to analyze complex biological data. Participants will learn the fundamentals of R, focusing on practical applications in genomics, ecological modeling, and evolutionary biology.
Throughout the workshop, biologists will explore various data sets, learning how to clean, analyze, and visualize data using R packages such as ggplot2. The sessions are designed to be highly interactive, with hands-on exercises that simulate real-world biological research challenges. No prior programming experience is required, but a basic understanding of biological concepts will be beneficial.
2024-11-16 to 2024-11-18
This course focuses on using AI-driven tools to detect financial fraud by identifying anomalies and unusual patterns in transaction data. Participants will learn machine learning algorithms and AI-based techniques to build systems for fraud prevention and financial security.
2024-11-20 to 2024-11-22
This workshop is designed to cover the latest advancements in AI techniques presented at the Neural Information Processing Systems (NeurIPS) Conference. Participants will delve deep into neural architectures, large-scale AI model optimization, and interdisciplinary AI applications in healthcare, climate science, education, and ethical AI. Hands-on sessions will focus on building and fine-tuning AI models such as transformers and graph neural networks, preparing participants for cutting-edge AI research and its practical implementation.
2024-11-27 to 2024-11-29
This workshop explores the critical role of data analytics and AI in modern drug development, covering areas such as predictive modeling, biomarker discovery, and clinical trial optimization. Participants will learn how to apply advanced AI algorithms and data-driven strategies to enhance the efficiency, accuracy, and success rates of drug development pipelines.