The State of Modern Data Architectures
Explore modern data architectures enabling agile, scalable solutions for IoT streaming, real-time analysis, and machine learning with large, multi-structured datasets in cloud environments.
AI/ML, Data Analytics, and Closed Loop Control in Network Management
Explore AI/ML, data analytics, and closed loop control concepts with industry experts from Aarna Networks in this insightful presentation.
Brewing Coffee Beyond the Edge - A Hardware Engineer's Guide to Kubernetes
Explore Kubernetes for hardware engineers, focusing on IoT applications like coffee brewing. Learn about MQTT, Mosquito, and Jupyter CLI integration for innovative edge computing solutions.
Under the Hood with Fluent Bit Operator: Kubernetes-native Log Processor
Explore Kubernetes-native logging with Fluent Bit Operator, addressing challenges, debugging workloads, and implementing efficient log processing pipelines. Includes real-world examples and a demo.
Arduino Sensor Data History in MySQL
Learn to build a weather station using Arduino, collect sensor data, and store it in MySQL for analysis and visualization.
Making Quantum Algorithms Learn from Data
Explore cutting-edge research on integrating machine learning with quantum algorithms, enhancing their ability to process and learn from data for advanced computational tasks.
Machine Learning for Analysis of High-Dimensional Spatiotemporal Chaotic Dynamical Systems
Discover how machine learning techniques can analyze and predict complex chaotic systems, with insights from cutting-edge research in physics and data science.
Fairness in Machine Learning - From Theory to Practice
Explore fairness in machine learning, addressing bias, measurement metrics, and regulatory considerations to ensure ethical and just AI implementation.
Analyze USB Traffic with Wireshark
Explore USB fundamentals and learn to analyze traffic using Wireshark. Gain insights into USB concepts, misconceptions, and practical analysis techniques for both URB and packet-level captures.
A Sketch Data Structure for Quantiles in eBPF
Explore an innovative sketch data structure for efficient quantile estimation in eBPF, enhancing performance monitoring and analysis capabilities in Linux systems.
Controlling Data Overhead with the OpenTelemetry Collector
Learn to optimize OpenTelemetry data management: filter PII, clamp metrics, structure data, and process critical events using the collector for efficient observability practices.
Cluster Golden Signals: Avoiding Alert Fatigue at Scale
Learn to implement Cluster Golden Signals for efficient Kubernetes observability, reducing alert fatigue and improving incident response through effective metrics pipeline and anomaly detection techniques.
Getting ML Right in a Complex Data World
Explore efficient ML experimentation using data versioning tools to reproduce iterations, capture training data versions, and build intuitive infrastructure without duplicating resources.
Create Your First eBPF Program to Monitor Your System Using Bumblebee
Learn to create and deploy an eBPF program using Bumblebee for system monitoring, enhancing your skills in low-level programming and performance analysis.
Labeling Tools are Great, but What About Quality Checks?
Explore effective quality control strategies for data labeling in machine learning, ensuring accuracy and reliability in AI model training.
Ethical Artificial Intelligence: Oxymoron or Possibility?
Exploring ethical AI in healthcare: balancing rapid data analysis with concerns about bias, regulation, and fairness to advance health equity and address algorithmic decision-making challenges.
Dealing with Privacy, Bias and Drift in Synthetic Primary Care Data
Explore synthetic healthcare data generation, addressing privacy concerns, bias detection, and concept drift in evolving medical datasets for improved research and policy-making.
Nature Reviews Physics - Science in the Age of Large Language Models
Explore the impact of Large Language Models on scientific research and publishing, discussing challenges, opportunities, and future implications for the field.
Using Routinely Collected Electronic Healthcare Record Data to Study Respiratory Disease
Explore methods for analyzing electronic healthcare records to gain insights into respiratory diseases, leveraging big data for improved patient outcomes and research.
Machine Learning in Theoretical and Experimental High Energy Physics
Explore machine learning's impact on high energy physics, from data analysis to theoretical advancements, and its role in the search for new physics discoveries.
BPF Tales: Recompiling the Kernel to Average Numbers in Datacenters
Explore BPF for efficient data processing in datacenters, focusing on averaging numbers and optimizing storage operations through kernel-level programming.