Deep Learning for DSP Engineers: Challenges and Tricks for Audio AI
Explore AI-based musical instrument development from a DSP engineer's perspective. Learn about real-time audio models, dataset creation, and deployment, with insights from HITar and Bessel's Trick projects.
AI-Powered Solution for Agrochemical Management in Farming - Arm Tech Talk
Explore how an 18-year-old innovator uses AI on Arm to create a blockchain-based solution for secure agrochemical storage and transportation, addressing global farming challenges.
Energy-Efficient ML Vision App Development with Ethos-U65 - NXP and Arcturus
Leverage Ethos-U65 microNPU and Cortex-A55 CPUs on NXP's i.MX 93 for energy-efficient ML vision apps. Explore NXP's eIQ ML environment and Arcturus solutions for smart occupancy sensing and edge vision applications.
DavinSy Hands-on - Continuous Learning Beyond the Edge
Explore DavinSy's AI system for solving TinyML challenges, enabling training on Arm-powered embedded devices using real-time data. Learn fast prototyping and deployment techniques for Arm development boards.
Getting Started with AI on the Edge - Arm Tech Talk
Explore AI on edge devices using Arm's tools and resources. Learn about CMSIS-Packs, Arm Virtual Hardware, and Keil Studio Cloud for efficient ML application development and deployment.
Deep Dive - Unpacking the TinyML Cookbook
Explore practical TinyML applications and techniques with expert Gian Marco Iodice, gaining insights into efficient machine learning on resource-constrained devices.
AI Retail Solutions: Market Basket Analysis
Explore AI-driven retail innovations, focusing on market basket analysis to enhance customer experience and boost retention through data-driven insights.
Introduction to Machine Learning Operations (MLOps)
Explore MLOps practices for efficient ML model deployment and maintenance. Learn about Charmed Kubeflow and how to choose the right solution for your AI/ML projects.
Open Source MLOps on AWS
Explore open source MLOps on AWS using Charmed Kubeflow. Learn about AI/ML challenges, industry benefits, and setting up efficient MLOps environments for quick experimentation and iteration.
AI on Public Cloud with Open Source
Explore open source AI tools on public cloud, covering scenarios, benefits, customer use cases, and hybrid/multi-cloud opportunities for AI projects.
Kubernetes Orchestration for AI Workloads: How to Optimize It - Episode 6
Explore Kubernetes orchestration for AI workloads, optimizing cloud-native applications and simplifying data scientists' workflows. Gain insights into maximizing potential and addressing AI-specific use cases.
Vector Databases for Generative AI Applications
Explore vector databases' role in generative AI, covering concepts like RAG and efficient open-source tools for building AI applications.
AI on the Edge - Challenges, Benefits, and Implementation Strategies
Explore AI at the edge: challenges, security, scaling, benefits, use cases, and open source solutions. Learn to build effective edge AI architectures for IoT applications.
PostgreSQL Extensions: Covering Multiple Use Cases
Explore PostgreSQL's extensibility to cover diverse use cases, from analytics and geospatial data to AI/ML and time series, saving time and resources.
AI Storage with Ceph - Optimizing Storage for AI/ML Workflows
Explore AI's impact on storage systems and how Canonical Ceph can optimize AI/ML workflows for faster insights and innovation.
Kubeflow vs MLflow - Choosing the Right Tool for Machine Learning Operations
Explore production-grade MLOps, comparing Kubeflow and MLflow for open-source, community-driven machine learning tooling. Gain insights on pros and cons to make informed decisions.
Vector Databases for Generative AI Applications - Episode 3
Explore vector databases' role in generative AI, covering search engines, open-source tools, and efficient application development for chatbots, virtual assistants, and content creation.
AI on Public Cloud with Open Source - Episode 4
Explore AI on public cloud using open source tools, covering scenarios, benefits, customer use cases, and hybrid/multi-cloud opportunities.
AI on Private Cloud in the Hyperscalers Era - Episode 5
Explore the relevance of private cloud for AI projects, covering key considerations, performance acceleration, and Kubernetes on OpenStack guidance.
Build More Capable LLMs with Retrieval Augmented Generation
Enhance LLM capabilities using retrieval-augmented generation to access knowledge bases and deliver fact-based answers, overcoming training data limitations.
LLM Projects - A Quick Tutorial on Multi-Agent Workflows with AutoGen
Explore multi-agent workflows using AutoGen framework for RAG-based question answering with Wikipedia integration. Learn to implement and leverage this powerful approach for dynamic information retrieval.