Building Trustworthy AI - Lessons from Open Source
Explore principles for ethical AI development, drawing insights from open source practices to create more transparent and accountable artificial intelligence systems.
Prometheus-Enabled AI Deep Observability Based on eBPF
Explore AI deep observability using Prometheus and eBPF, covering eBPF architecture, Prometheus monitoring, and deploying eBPF tasks in containers for kernel metric detection.
Federated Learning in 5G C-V2X
Explore federated learning in 5G C-V2X, covering network requirements, autonomous vehicle architecture, challenges, and practical applications through a demo and Q&A session.
Artificial Intelligence and the Economy of 2025 - Opportunities, Challenges, and Impacts
Explore AI's impact on the 2025 economy, workforce shifts, and cybersecurity with experts from venture capital and intelligence research, discussing opportunities, risks, and ethical considerations.
AI-Assisted Coding: The Future - Between Challenges and Benefits
Explore AI-assisted coding's future, examining its potential benefits and challenges in application security and development.
Sustainable Success - AI's Impact on Humanity and Innovation
Explore AI's transformative impact on humanity with Dr. Srinivas Kishan, a double PhD holder in AI. Discover how this technology can empower us to tackle complex problems and redefine possibilities.
DALL-E 3 Comparison: ChatGPT vs Bing Image Creator
Comparative analysis of DALL-E 3 in ChatGPT and Bing Image Creator, exploring strengths and weaknesses through various use cases like video thumbnails, book covers, textures, and film posters.
GPT-4 Vision: 10 Amazing Use Cases and Applications
Explore 10 innovative applications of GPT-4 Vision, from app creation to image analysis, showcasing its versatility and potential in various real-world scenarios.
Input, Processing and Output of Massive Metadata from Image Recognition
Explore reactive computing, streaming ML, and deep learning for image recognition. Learn about serverless architecture and real-time data processing with a live demo of software engineering integration.
LF AI Foundation Mini Summit
Explore the latest developments in AI and machine learning at this Linux Foundation event, featuring expert talks and industry insights.
A Collection of Deep Learning Packages for IoT Devices
Explore deep learning packages for IoT devices, focusing on implementation strategies and practical applications for edge computing and resource-constrained environments.
Compare, Contrast, Contribute: Model Deployment Standards and How You Can Help
Explore ML model deployment standards like PMML, PFA, and ONNX. Learn their features, use cases, and how to contribute to open-source initiatives advancing AI/ML interoperability.
ACUMOS AI Project - Machine Learning Platform Overview
Explore ACUMOS AI, an open-source platform for ML workflow, trusted AI, and federated learning. Learn about cloud migration, edge deployment, and practical use cases in this comprehensive overview.
Enhanced POET - Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges
Explore open-ended reinforcement learning through unbounded invention of challenges and solutions, focusing on Uber's Enhanced POET algorithm and its applications in AI development.
AI Model Efficiency Toolkit
Explore cutting-edge techniques for optimizing AI models with Qualcomm's toolkit, enhancing performance and efficiency in machine learning applications.
Safety, Security, Quality - Artificial Intelligence versus Common Sense
Explore AI's impact on safety, security, and quality in infrastructure, comparing it with traditional approaches and discussing community collaboration and effort estimation.
There Is No Store for Self-Driving Car Parts - Running the Ultimate Battery-Powered Device with Linux
Explore the challenges and solutions in developing Linux-powered autonomous vehicles, focusing on hardware integration, device management, and software customization for self-driving technology.
The Cost of Democratization - Open Source and the Future of Ethical Use
Explore the ethical implications of open-source AI, focusing on responsible development, legal challenges, and societal impacts in this thought-provoking keynote by Dr. Rumman Chowdhury.
On and Beyond Total Variation Regularization in Imaging - The Role of Space Variance
Exploring space-variant regularisation models for inverse imaging problems, focusing on Total Variation regularisation and its adaptive improvements for local image structures.
Imaging from Deepfake Data - Applications in Seismic Imaging
Exploring neural networks' role in imaging from sensor data, focusing on seismic applications like bandwidth extension and virtual source data generation for enhanced inversion techniques.
Adversarial Strategies for Anomaly Detection and Image Restoration - SIAM-IS Virtual Seminar
Adversarial approaches in imaging: anomaly detection using GANs and image restoration techniques for inpainting and colorization. Explores efficient methods for unsupervised learning and data distribution analysis.