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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.
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.
Learn to apply Graph Neural Networks in multi-agent systems, exploring their potential for collaborative decision-making and distributed intelligence in complex environments.
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 strategies for effective interventions in complex socio-technical networks, focusing on scalable approaches for large-scale systems and their practical applications.
Explore privacy-preserving cryptographic techniques for secure biometric authentication in this informative webinar by Dr. Paolo Gasti, presented for the IEEE Signal Processing Society.
Explore algorithmic advances and applications of graph adjacency spectral embeddings, focusing on data science and signal processing innovations in network analysis and representation learning.
Explore advanced techniques in signal processing using topological methods, enhancing data analysis and learning algorithms for complex datasets.
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