
Explore how Johnson & Johnson leverages a comprehensive data platform for business transformation, featuring insights on data curation, AI applications, and strategic decision-making.

Fireside chat exploring Linux and Open Source's evolution, future challenges, and opportunities, featuring insights from Nithya Ruff on community sustainability, standards, and diversity in tech.

Explore ensemble CNN techniques for computer vision counting, featuring cloud computing evaluation and strategies for achieving low RMSE scores in competitive settings.

Explore Shor's Algorithm in quantum computing, focusing on its implementation, components, and applications in factoring large numbers efficiently.

Learn strategies for scaling high-traffic apps on Parse, including optimizing API requests, database principles, and data modeling techniques to enhance performance and reliability.

Learn to build apps quickly with Parse's features like data storage, push notifications, and analytics, focusing on creating unique experiences without server worries.

Explore Parse Local Datastore for offline app functionality and learn about Parse security features to protect user data and ensure safe app operations.

Learn to create HTML5 games using Parse JavaScript SDK, based on Backbone.js. Explore Parse Objects, Cloud Code, game matching, and Unity integration for efficient app development.

Learn to build powerful mobile apps using Parse, covering data sharing, login, push notifications, and cloud integration for a comprehensive development experience.

Learn to build engaging apps with Parse's cloud platform. Explore data APIs, social features, push notifications, and cloud code for efficient app development.

Explore Parse's latest features and roadmap, including Cloud Modules and Unity integration, presented by CEO Ilya Sukhar with an introduction from Mark Zuckerberg.

Power-efficient neural network hardware architecture for biomedical applications, focusing on sleep apnea detection using ECG and SpO2 data. Introduces SABiNN technique for reduced power consumption and compact design while maintaining accuracy.

Explore on-device continuous event-driven deep learning to prevent model drift in AIoT applications, focusing on real-time data adaptation without user intervention for industrial use cases.

Explore Arduino's journey, from its origins to its impact on machine learning and global tech education, with insights from co-founder Massimo Banzi on innovation and future directions.

Explore GAPflow: transform neural networks into optimized C code for ultra-low-power GAP processors. Learn quantization, validation, and memory allocation for efficient AI deployment on energy-constrained devices.

Explore on-device learning for IoT devices with limited memory. Learn techniques for efficient model adaptation, quantization-aware scaling, and sparse updates to enable continuous learning on tiny hardware.

Explore tinyML applications, tools, and resources in South Africa. Learn about this emerging technology's potential and engage in community discussions for future workshops and events.

Explore the emerging tinyAutoML market, its challenges, opportunities, and potential impact on IoT and edge computing. Gain insights from industry experts on automating tiny machine learning applications.

Explore tinyML success stories with Thierry Moreau, discussing OctoML's journey, Apache TVM, deployment challenges, and the future of edge AI in an interactive conversation.

Explore how machine learning optimizes sensor systems, reducing resource usage while improving response. Learn about smart wake-up strategies and efficient data conversion at the edge.

Explore how TinyML and edge analytics predict equipment failures in high-tech manufacturing, reducing downtime and increasing productivity through SensiML and Adapdix EdgeOps integration.