Building Qrio, a Bot That Plays Videos for My Toddler
Discover how to build an AI bot that interacts with toddlers, recognizes toys, and plays relevant YouTube Kids videos. Learn about object detection, text-to-speech, animation, and automation techniques.
Jextract - Java Treasures from Native Code Gems
Discover how to seamlessly integrate native libraries with Java applications using jextract and Project Panama's Foreign Function and Memory API, enabling efficient cross-language development.
There Is No Such Thing as Artificial Intelligence - Understanding AI Myths and Realities
Explore the misconceptions about AI with Luc Julia as he debunks Hollywood myths, examines real technological advances, and discusses the future potential of machine learning and deep learning technologies.
Comparing Elixir and Python for Simple Neural Networks
Compare Elixir's Nx library with Python's machine learning ecosystem for training neural networks. Explore development experiences and performance differences using MNIST and CIFAR-10 datasets.
Enterprise Search Relevance at Box: Simplicity
Explore Box's approach to delivering relevant search results across diverse enterprises using Solr and TensorFlow Ranking, balancing simplicity with privacy and security.
Spinning Your Drones with Cadence Workflows, Apache Kafka and TensorFlow
Explore building a real-time drone delivery app using Cadence and Apache Kafka, then apply TensorFlow for machine learning on streaming data to predict busy shops.
Software for Quantum Machine Learning
Explore quantum machine learning algorithms, adapting deep learning concepts to train quantum computers using familiar tools like TensorFlow and PyTorch.
Bringing Structure Into an Unstructured World - Applying State-of-the-Art Machine Learning at Digits
Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.
Open Source Privacy Preserving Inference in Medical Imaging
Explore privacy-preserving machine learning in healthcare, focusing on secure prediction-as-a-service and model testing. Learn about CrypTFlow, a system for compiling TensorFlow/ONNX to secure computation protocols.
Speed-ups for State-of-the-Art Generative AI Drug Discovery Applications
Explore cutting-edge generative AI techniques for drug discovery, including VAEs, Hugging Face pipelines, and LLM comparisons. Learn to accelerate inference times using C++ and cloud platforms.
Building Smarter Solutions With No Expertise in Machine Learning
Discover how to create intelligent solutions without ML expertise. Learn practical approaches to leverage AI technologies for smarter applications.
Integración de MLNet Framework y TensorFlow en C# para Clasificación de Imágenes
Integra MLNet de Microsoft con TensorFlow para clasificación de imágenes en C#. Aprende a utilizar el modelo ImageNet en aplicaciones prácticas.
Microsoft ML.NET Framework Integration with TensorFlow for Computer Vision Classification
Explore MLNet and TensorFlow integration in C# for CV classification using Imagenet model. Hands-on demo with practical code examples.
Developing Kubeflow Pipeline Components for Vertex AI
Develop and deploy Kubeflow pipeline components for Vertex AI, exploring features, use cases, and visualization techniques for efficient ML workflows.
MLOps MLflow: Deep Learning Frameworks - PyTorch and TensorFlow Integration
Explore integrating deep learning frameworks Pytorch and Tensorflow with MLflow for enhanced model management and tracking.
Feeding ML Models with Real-Time Database Data
Explore real-time data ingestion from databases to ML models using Change Data Capture. Learn about Debezium, challenges, and future improvements with a live TensorFlow demo.
Inference Engines and Audio - Machine Learning in Audio Applications
Explore inference pipelines in machine learning for audio applications, including common engines, their functionality, and creating custom solutions for platforms like Cmajor.
Cruise.data - A New Dataset Processing Pipeline for Cruise ML
Explore Cruise.data, a novel ML data pre-processing framework combining tf.data, PyTorch, and large-scale processing capabilities for efficient and scalable dataset handling in autonomous vehicle development.
Tensorflow and Deep Learning - Without a PhD
Explore deep machine learning with Tensorflow using Python. Learn to choose and optimize neural networks for various problems without advanced math prerequisites.
Intro to Deep Learning - ML Tech Talks
Comprehensive introduction to deep learning concepts, neural network architectures, and practical applications, featuring TensorFlow examples, code demos, and insights into representation learning and model interpretability.
Vertex AI Workshop - Training, Serving, and Pipelines
Explore hands-on Vertex AI for ML model training, serving, and pipeline creation. Learn to leverage Google Cloud's powerful tools for efficient machine learning workflows and deployments.