Optimizing AutoML for the tinyML Future
Optimizing AutoML for tinyML: Balancing accuracy, latency, and power efficiency through hardware-aware techniques and full signal flow optimization from sensor to inference.
EON Tuner - AutoML for Constrained Devices in TinyML
Explore AutoML for constrained devices with EON Tuner, optimizing tinyML models through pre-processing, DSP, and ML combinations while considering device limitations and real-world performance.
Suitability of TinyML for Predictive Maintenance in High-Tech Manufacturing
Explore how TinyML and edge analytics predict equipment failures in high-tech manufacturing, reducing downtime and increasing productivity through SensiML and Adapdix EdgeOps integration.
TinyML Talks Germany - AutoFlow - An Open Source Framework to Automatically Implement Neural
Explore AutoFlow: an open-source framework for automating neural network implementation on embedded devices, covering model building, optimization, and deployment.
Train One Network and Specialize It for Efficient Deployment
Explore efficient neural network deployment across diverse devices using the Once-for-All network approach, which enables quick specialization without retraining and outperforms state-of-the-art methods on edge devices.
Modern Medical Image Segmentation, AutoML, and Beyond
Explore advanced medical image segmentation techniques, including AutoML and deep learning, for improved disease understanding and clinical diagnosis.
AutoML + TinyML with Edge Impulse's EON Tuner
Explore AutoML for TinyML with Edge Impulse's EON Tuner. Learn how to optimize embedded machine learning models within device constraints for innovative applications.
Building AutoML Pipelines with Argo Workflows and Katib
Explore AutoML pipelines using Argo Workflows and Katib for efficient model selection and hyperparameter tuning in Kubernetes environments, enhancing MLOps processes.
Securing ML Workloads with Kubeflow and MLOps - Pwned By Statistics
Learn to secure machine learning workloads using Kubeflow and MLOps. Explore techniques like model extraction, hidden data attacks, and leakage detection to protect your ML pipelines and models.
Accelerate Your AI-ML Initiatives and Deliver Business Value Quickly
Discover strategies for rapid AI deployment, overcoming adoption challenges, and delivering tangible business value through pre-integrated frameworks, AutoML, and industry-specific solutions.
Crafting Superior ML Pipelines with SapientML
Discover SapientML: Revolutionizing AutoML with direct ML code generation. Learn how it creates optimized pipelines for tabular data prediction, enhancing AI/MLOps efficiency and transparency.
AutoML and Training Working Group Updates - Kubeflow Developments
Explore AutoML and Training Working Group updates for Kubeflow, including Katib's V1 API graduation, advanced parameter distribution, and LLM tuning, plus Training Operator's roadmap for enhanced ML framework support.
AutoML and Training Working Group Updates for Kubeflow
Explore AutoML and Training Working Group updates for Kubeflow, including Katib's 2024 roadmap, Training Operator enhancements, and advancements in distributed ML training on Kubernetes.
Neural Architecture Search: Coming of Age
Explore Neural Architecture Search advancements, including benchmarks, speedup techniques, AutoML integration, and neural ensemble search. Gain insights from a leading expert in automated machine learning.
Predict the Future - or Don't - with Machine Learning in Applications
Explore machine learning for data-driven predictions in enterprise applications using Oracle Machine Learning. Learn through code examples and demos how to build models and apply insights on database data.
AutoML + ML APIs = Machine Learning for All Developers
Explore how AutoML and ML APIs enable developers to build smart applications using pre-trained models and customization techniques, with live demo and practical insights.
Computer Vision - British Clay
Explore AutoML techniques for image classification, comparing tools to build models from labeled samples. Discover the ease of detecting Wallace vs. Gromit in this hands-on demo.
Explainable AI Explained for Developers
Discover the importance of Explainable AI for developers, learn practical tools for interpreting machine learning models, and understand its business implications in this insightful presentation.
COVID-19 - Data Science and Expertise
Explore data science applications in COVID-19 prediction, including county-level forecasting and chest X-ray analysis. Learn about model building, AutoML, and the crucial role of domain expertise in improving predictions.
ML BuzzWords Demystified
Demystifies latest ML trends like Reinforcement Learning, AutoML, and ML bias. Provides clear insights into complex concepts, ensuring you're up-to-date with the field's advancements.
AutoML의 현재와 미래 - 산업 현장에서의 실제 활용 사례
Discover how AutoML technology evolved from a buzzword to an essential industrial tool, exploring its current applications and future challenges at SK Group through real-world implementation cases.