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Master blockchain programming by building real-world Web 3.0 applications including a real estate platform, NFT marketplace, and domain service using Solidity, Ethereum, and React.
Explore geometric deep learning techniques for drug discovery, covering graph neural networks, molecule generation, and retrosynthetic prediction. Gain insights into cutting-edge research and applications in pharmaceutical development.
Explore real-world challenges in law enforcement image analysis, covering infrared footage, lens distortion, perspective issues, compression artifacts, and AI impacts on forensic video interpretation.
Learn to apply Graph Neural Networks in multi-agent systems, exploring their potential for collaborative decision-making and distributed intelligence in complex environments.
Explore image forensics techniques for verifying scientific integrity, uncovering manipulations, and ensuring research authenticity in academic publications.
Experts discuss strategies for promoting diversity and inclusion in signal processing and engineering, addressing challenges and sharing successful initiatives from academia and industry.
Enhance your interview skills and communication techniques with expert insights from Dr. Philipp Gramlich, focusing on strategies for success in professional settings.
Explore diverse perspectives on academic career paths from accomplished women in signal processing, offering insights and strategies for success in higher education.
Expert panel discusses strategies for overcoming personal and societal obstacles in signal processing careers, offering insights on building confidence and navigating professional challenges.
Explore strategies for fostering diversity and inclusion in engineering, featuring insights from keynote speaker Vasileia Filidou of Athena Research Center at the PROGRESS workshop.
Explore advanced techniques for accelerating ill-conditioned low-rank estimation using scaled gradient descent, presented by Yuejie Chi from Carnegie Mellon University at ICASSP 2023.
Explore model-based deep learning applications in imaging and communications with expert Yonina Eldar from the Weizman Institute of Science in this ICASSP 2023 keynote presentation.
Explore nonlinear power system operations using graph neural networks, covering optimization, computational benefits, and emergency response in power flow models.
Explore optimal transport techniques for learning distances between attributed graphs, enhancing graph analysis and comparison methods in data science.
Explore strategies for effective interventions in complex socio-technical networks, focusing on scalable approaches for large-scale systems and their practical applications.
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