Dark Data
Explore the concept of dark data, its retention, and processing, with a focus on personal data and legal compliance in data management.
Neutaint- Efficient Dynamic Taint Analysis with Neural Networks
Explore efficient dynamic taint analysis using neural networks, overcoming limitations of traditional methods and improving performance in exploit analysis and fuzzing.
Anti Spoofing - Liveliness Detector for Face Recognition System - Fake VS Real - Computer Vision
Learn to build a free anti-spoofing system for face recognition, covering data collection, preprocessing, model training, and implementation using computer vision techniques.
Patching as Translation: The Data and the Metaphor
Explore neural machine translation for code patching, examining data collection, task design, and architectural approaches to improve automated bug fixing in software development.
Discussion - Offline Reinforcement Learning
Explore offline reinforcement learning, covering data sets, optimism under uncertainty, state coverage, and policy evaluation. Gain insights into pragmatic and conceptual approaches.
Natural Language Processing - Yoav Artzi - Cornell University
Explore natural language instruction following for robots and collaborative scenarios, featuring new datasets, interpretable models, and learning methods combining supervised and reinforcement approaches.
TinyML - Using Machine Learning on Microcontrollers to Recognize Speech
Learn to implement speech recognition on microcontrollers using TinyML. Train a neural network, convert it to TensorFlow Lite, and deploy it on an ARM board for real-time wake word detection.
Battery Optimized People Counting Using FIR and AI
Explore battery-optimized people counting using FIR and AI, covering product development, power efficiency challenges, AI implementation, and quality assurance for innovative crowd monitoring solutions.
How to Build Advanced Hand-Gestures Using Radar and TinyML
Explore advanced hand gesture control using radar and Edge AI for headphones, featuring a case study and development process with Imagimob AI software.
Training Neural Networks for Sensors
Overview of training neural networks for gesture recognition using accelerometer data on a low-power device. Covers data collection, augmentation, network architecture, and performance for smartwatch applications.
KITTI-360 - A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
Comprehensive dataset and benchmarks for urban scene understanding, combining computer vision, graphics, and robotics to advance autonomous driving technology.
AI at the Edge - Enabling Vision for Low-Power Devices
Explore AI's shift to edge devices, focusing on building efficient computer vision algorithms for battery-powered devices. Learn about data collection, continuous learning, and optimization techniques.
Exploring the Power of OpenTelemetry on Kubernetes
Comprehensive guide to implementing OpenTelemetry on Kubernetes for end-to-end observability. Learn instrumentation, data collection, and deployment strategies for traces, metrics, and logs.
Exploring Delta Temporality in OpenTelemetry and Beyond
Exploring delta temporality in OpenTelemetry: advantages, pitfalls, and use cases compared to cumulative temporality. Analysis of temporality types in metrics data models and their applications.
Prometheus Native Histograms in Production
Explore real-world results of Prometheus native histograms, including performance, resolution, and data collection aspects. Gain insights on adoption and OpenTelemetry interoperability.
Observability with Fluent Bit: Logs, Metrics and Traces
Learn to implement scalable observability solutions using Fluent Bit for logs, metrics, and traces. Explore data collection, preprocessing, and centralization techniques for effective analysis.
What Sparsity and L1 Optimization Can Do for You
Explore sparsity, compressive sensing, and l1 optimization's impact on science, technology, and machine learning. Learn fast algorithms and applications in PDE, data collection, and image processing.
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.
Cloud Native Live - Telegraf Kubernetes Operator
Explore the Telegraf Kubernetes Operator for efficient data collection and monitoring in cloud-native environments.
CNCF Webinar - The What's and Why's of Tracing
Explore distributed tracing, its importance in microservices, and OpenTelemetry's role in enhancing observability and debugging in cloud-native environments.
Building a Big Data Collection and Processing System
Explore building a system for collecting, storing, and processing massive amounts of data using Apache Mesos and Hadoop, with a focus on video surveillance applications.