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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.
Explore automated mechanism design for strategic classification, covering key concepts, optimization techniques, and future research directions in this field.
Explore data science applications in assembly engineering, covering self-assembly, crystallization, and machine learning techniques for structural analysis and visualization.
Comprehensive exploration of deep learning featuring expert talks on scaling, debugging, and advanced techniques. Covers theoretical foundations and practical applications across various domains.
Explore running Linux apps on Windows with WSL, covering Windows Terminal, Docker, and GUI applications. Learn about system architecture, performance, and practical use cases.
Explore computational thinking through abstractions, algorithms, and compilers. Delve into compiler design, large dataset handling, and quantum computation, with insights from renowned computer scientists.
Pioneering crowdsourcing: From reCAPTCHA to Duolingo. Insights on harnessing collective intelligence for free language learning, tech entrepreneurship, and the impact of accessible education.
Explore statistical and task modeling approaches in AI, their strengths, limitations, and the importance of integrating principles from both cultures for more robust and responsible machine learning.
Explore deep learning's impact on software engineering, including code suggestion and program repair. Discover current research, challenges, and future directions in this emerging field.
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