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Explore interdisciplinary co-design practices to develop systems that fully support people's technological needs, emphasizing human experience, collaboration, and cultural shifts in research and design across disciplines.
Explore challenges and opportunities in responsible AI development, focusing on human-centered approaches, cultural shifts, and tooling advances to address risks and ensure societal benefits.
Explore Google's software engineering principles: time, scale, and tradeoffs. Learn sustainable practices for maintaining large codebases and managing change in long-term projects.
Explore Go's concurrency through hands-on coding of a network utility. Learn best practices, avoid pitfalls, and gain practical understanding of Go's powerful concurrency mechanisms.
Explores cost-effective methods for maintaining and updating distributed reordered indexes in growing document collections, focusing on efficiency gains in query execution time and index size reduction.
Explores methods for suggesting MeSH terms to enhance Boolean queries in systematic review literature searches, evaluating their effectiveness in improving search results and query construction.
Explore technical and non-technical challenges in maximizing document potential with NLP and AI, focusing on SEEK's employment marketplace and innovative solutions for data processing and team organization.
Insightful discussion on machine learning careers, exploring the gap between hype and reality, problem identification, success metrics, and navigating the evolving ML landscape with expert panelists.
Exploring data-centric approaches in computing education, emphasizing curricular innovations at university and school levels to adapt to the data-driven landscape of modern computing.
Explore software design flaws, their impact on user experience, and innovative solutions using concept-based approaches. Learn to create more intuitive and effective systems.
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.
Transfer learning techniques for deep learning, including few-shot learning, fine-tuning, and universal representations, with a focus on addressing limited labeled data challenges.
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