Why WebAssembly is the Next Wave of Cloud Computing
Explore WebAssembly's role in cloud computing, its advantages over VMs and containers, and its potential for building fast, scalable microservices and web apps.
From Sensor to Cloud: Getting Your Data Off of the Edge
Explore efficient methods for transferring time series data from edge devices to the cloud using open-source tools and InfluxDB platform, enabling seamless analysis and utilization.
A Framework for Onboarding Open Source Contributors
Discover a framework for onboarding open source contributors, showcasing real-world success in fostering productivity and impacting customers through collaborative remote work.
Bringing MongoDB Workloads Back to Open Source
Explore how to migrate MongoDB workloads to open-source alternatives, enhancing data control and reducing vendor lock-in.
The Frontend Family Tree - What React Can Learn from Angular
Explore how React can learn from Angular and how recent Angular changes might solve React's challenges in frontend development.
7 Ways to Build an API that Developers Will Hate
Explore worst practices in API development through a fictitious example, learning what to avoid when building your next API for improved developer experience.
Maximize Lunchtime and Minimize War Rooms - Empower Efficiency with Full-Stack Observability
Empower efficiency with full-stack observability. Learn how Cisco FSO Platform extends to the evolving digital landscape, providing control and visibility for reliable, secure business applications.
What Does the AI Revolution Mean for Open Source, Open Tech and Open Societies
Explore the impact of AI on open source, tech, and society. Examine challenges like access, innovation, discrimination, and environmental concerns. Discuss ethical AI solutions.
Advancing Private Federated Learning - Insights and Innovations from Research
Explore private federated learning techniques, challenges, and real-world applications. Gain insights into Apple's implementation and learn how to start research using open-source tools.
So Moore's Law is Dead - Now What? The Future of AI Processing
Explore the future of AI processing beyond Moore's Law, focusing on innovative architectures designed for demanding ML workloads in finance and other sectors.
Machine Learning on the Edge - From Microcontrollers to Embedded Linux Devices
Explore ML deployment on edge devices, from microcontrollers to embedded Linux systems. Learn about hardware options, model adaptation, and deployment strategies for real-world applications.
OpenFL - A Federated Learning Project to Power and Secure Your Projects
Discover OpenFL: Secure federated learning framework for collaborative model training without sharing sensitive data. Adopt, contribute, and enhance AI projects with privacy-preserving techniques.
Federated Learning in Production: Enabling AI Training with Data Privacy
Explore federated learning's applications, benefits, and implementation requirements for AI training on edge devices with data privacy.
Federated Learning in Production: Enabling AI Training with Data Privacy
Explore federated learning's applications, benefits, and implementation requirements for AI training on edge devices with data privacy.
Designing a Real-Time Model to Prevent Fake Account Sign-Up
Develop a real-time machine learning service to prevent fake account sign-ups. Learn about statistical challenges, computational scaling, and deployment pitfalls in low-latency ML inference.
Deep Learning for Program Repair
Explore Google's ML4SE research on training deep learning models to fix software build errors, enhancing developer productivity and reducing project delays.
AWQ for LLM Quantization - Efficient Inference Framework for Large Language Models
Explore Activation-aware Weight Quantization (AWQ) for efficient large language model deployment, reducing memory requirements while preserving performance across domains and modalities.
Dimensionality Reduction and Segmentation with Decision Trees - Python Code
Explore advanced decision tree applications for dimensionality reduction and predictor segmentation, with Python code examples for breast cancer detection and sepsis risk analysis.
How to Make a Data Science Portfolio With GitHub Pages
Create a free, no-code data science portfolio website using GitHub Pages. Learn step-by-step process, from repo creation to deployment, with tips for effective self-presentation.
The Hugging Face Transformers Library - Beginner's Guide and Chatbot UI with Gradio
Explore the Hugging Face Transformers library for easy, cost-free use of open-source language models. Learn sentiment analysis, summarization, and build a chatbot UI with Gradio.
Fine-tuning Large Language Models (LLMs) with Example Code
Learn to fine-tune large language models with practical Python examples. Explore techniques like LoRA for efficient parameter tuning and implement a text classification model using distilBERT.