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Explore Montage, a video prototyping system that combines video with digital sketches to enhance creation, reuse, and exploration of dynamic interactions in interface design.
Explore the intersection of physics and AI, covering paradigms, generalization, complexity, interpretability, and physics-informed neural networks. Gain insights into the synergy between these fields.
Overview of deep learning sequence methods in quantitative finance, covering feature extraction, return forecasting, portfolio allocation, and trading execution. Explores applications and challenges in the investment process.
Explore automated third-party library detection for Android apps, comparing tools, addressing challenges, and discussing effectiveness, efficiency, and obfuscation-resilient capabilities.
Explore privacy-preserving techniques in federated learning, including differential privacy, model privacy, and vertical factory learning, with insights on future developments and challenges.
Explore diverse volunteering opportunities at SIGCHI to strengthen your global network, shape the future of HCI, and contribute to conferences, publications, and committees at any career stage.
Explore data-driven algorithm design using machine learning, combining theoretical foundations with practical applications to improve performance for various combinatorial problems.
Learn Kubernetes fundamentals, its role in cloud-native infrastructure, and career implications. Explore containers, microservices, and practical applications with expert Nigel Poulton in this comprehensive introduction.
Explore predictive time series analytics, focusing on anomaly detection and explanation techniques, with insights on evaluation tools and real-world applications in cloud observability.
Explore industry-scale data and AI systems challenges, focusing on Alibaba's technologies like big data infrastructure, autonomous computing, and AI engineering for recommendation systems and digital twins.
Explore ethical AI challenges in automated decision systems, focusing on fairness, accountability, and transparency in hiring processes and beyond.
Explore practical aspects of knowledge graph completion, covering construction, calibration, open-world assumptions, and human-AI collaboration for improved link prediction and triple classification.
Explore Semantic Scholar's AI-powered tools for accelerating scientific research, including adaptive feeds, personalized alerts, and advanced summarization techniques.
Explore the development of user-friendly AI platforms, covering data preparation, model construction, debugging, and deployment, with a focus on enhancing efficiency and accessibility.
Explore techniques for learning transferable human behavior representations from sensor data, including challenges, preprocessing, and applications in various domains.
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