Will LLMs Kill Search? The Future of Information Retrieval
Explore the future of search with Nils Reimers, discussing RAG, multilingual embedding, complex data search, and Cohere-Rerank. Gain insights on LLMs' impact on search technology.
Particle Methods for Optimization over Measures - Lecture 1
Explore particle methods for measure optimization, focusing on theoretical foundations and practical applications in data science and machine learning.
Data4XR: Datasets for Developing Intelligent XR Applications
Explore datasets for intelligent XR applications in this IEEE VR 2022 workshop. Learn about AI-driven models, challenges in XR research, and opportunities for cross-lab collaborations.
Our Journey Through Cloud-Native as Mentee and Mentor
Explore mentorship in cloud-native communities through personal experiences. Learn how to start your journey as a mentee or mentor, overcome challenges, and advance in the field.
Smarter Golden Signals - Using AIOps for Kubernetes Cluster Monitoring
Explore open-source AIOps for Kubernetes metrics, reducing alert fatigue and improving incident detection using numalogic for real-time anomaly detection without AI/ML expertise.
Paved Paths Leading the Way to Compliance - Building an Internal Compliance Platform
Explore how Lunar builds an internal compliance platform using Backstage, enabling developers to meet banking industry requirements through dynamic documentation and secure defaults.
Selling the Unknown: Articulating the Business Value of New OSS Technology
Learn strategies for articulating the business value of new open-source technologies, focusing on constructing compelling narratives and adapting to changing contexts in cloud-native environments.
Rook - Introduction and Deep Dive with Ceph Storage
Comprehensive introduction to Rook, a cloud-native storage operator for Kubernetes. Explore how Rook integrates Ceph with Kubernetes to provide stable block, file system, and object storage for production data.
Building Apache Druid on Kubernetes - How Dailymotion Serves Partner Data
Explore Dailymotion's implementation of Apache Druid on Kubernetes for partner data management, covering architecture, challenges, and optimizations for scalability and performance.
Efficient Access to Shared GPU Resources: Mechanisms and Use Cases
Explore GPU scheduling in Kubernetes, including time sharing and Nvidia MIG, to optimize resource utilization for HEP and machine learning workloads. Benchmark results and management strategies included.
Causal Inference for Individualized Treatment Effects - From Theory to Algorithms
Explore cutting-edge applications of causal inference in data science for individualized treatment effects, bridging theory and practical algorithms in economic research and policy-making.
Deep Dictionary Learning Approaches for Image Super-Resolution - Pier Luigi Dragotti, Imperial
Explore cutting-edge deep dictionary learning techniques for image super-resolution with Pier Luigi Dragotti from Imperial College, bridging mathematics and data science in this advanced workshop.
At Scale Anomaly Detection for Enterprise Security - Joshua Neil, Microsoft
Explore scalable anomaly detection for enterprise cybersecurity with Microsoft's Joshua Neil. Learn about real-time telemetry, unsupervised learning, and post-breach detection techniques.
Dynamic Meta-Learning for Anomaly Detection - Cole Sodja, Microsoft Defender ATP
Explore dynamic meta-learning for anomaly detection, focusing on probabilistic calibration and adaptive mixtures of models to enhance cyber threat detection in Microsoft Defender ATP.
The Promises and Pitfalls of Stochastic Gradient Langevin Dynamics - Eric Moulines
Explore Stochastic Gradient Langevin Dynamics: its potential and challenges in optimization, data processing, and machine learning. Gain insights from expert Eric Moulines on this powerful algorithm.
Data Science for Medicine
Exploring the transformative impact of machine learning on medicine, from personalized diagnosis to treatment estimation and medical discovery, emphasizing novel methods for complex medical data.
Time Series Modelling and State Space Models - Professor Chris Williams, University of Edinburgh
Explore time series modeling, including ARMA models, Hidden Markov Models, and Kalman filtering. Learn parameter estimation, inference techniques, and advanced topics in state-space models.
Tools for Big Data - Professor Richard Gibbens, University of Cambridge
Explore mathematical modeling of networks with a focus on communication, transport, and energy systems. Learn to apply advanced computational techniques to analyze and interpret big data.
The Survival Guide to Being a Junior Engineer
Discover essential non-technical skills for junior engineers, from embracing ambiguity to effective communication, project planning, and understanding technical debt in the software industry.
People over Process over GitOps - Evaluating Cloud-Native Transformations
Exploring the importance of people and processes in cloud-native transformations, beyond tools like GitOps and Kubernetes, to achieve organizational goals and improve team dynamics.
Kubernetes: The Cornerstone of Modern Data Engineering
Explore Kubernetes' impact on data engineering, focusing on open-source tools, scalability, and efficiency. Learn how it's shaping the future of data processing and management.