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Explore data-oriented engineering's impact on software development and its potential to enhance user value from computers, with insights on Unity's approach and future-proofing strategies.
Explore strategies to prevent and mitigate accidental exposure of sensitive data in public repositories, focusing on Slack's automated "token nuker" system for rapid detection and disabling of exposed tokens.
Explore blockchain's transformative impact on global economics with Ripple's David Schwartz. Learn about cryptography, distributed ledger technology, and the emerging Internet of Value in this insightful presentation.
Explore the future of AI at Europe's largest developer event, featuring insights from industry leaders and policymakers on AI's impact and potential.
Explore cutting-edge techniques for studying biological neural networks, their efficient encoding solutions, and how they inspire AI algorithms for learning and navigation. Discover similarities between artificial and live brain behavior.
Explore ethical AI systems and user data ownership in the age of automation. Learn strategies for democratizing AI while ensuring responsible development and implementation.
Exploring the societal impact of computing beyond ethics, addressing labor polarization, disinformation, and technology addiction. Challenges the notion that ethics courses alone can solve these complex issues.
Explore DevOps practices for AI and ML projects, including Agile, CI/CD, and tools like GitHub and Azure DevOps. Learn to streamline development processes and enhance project efficiency.
Exploring ethical implications of word embedding models in NLP, focusing on gender bias in occupational representations derived from Wikipedia data using word2vec algorithm.
Discover Snap ML, a high-performance framework for training generalized linear models. Learn about its GPU acceleration, pipelining, and distributed computing capabilities for faster machine learning on large-scale datasets.
Explore Linux Foundation's efforts to democratize AI through open-source projects like Acumos AI, enabling visual workflows for AI design and a marketplace for sharing models across industries.
Learn to develop and deploy an AI model for automating customer ticket processing, from initial concept to production-ready implementation, enhancing business efficiency.
Explore Microsoft's AI vision: empowering businesses, developers, and society through innovative technologies, open-source commitments, and ethical AI practices for transformative solutions.
Explore end-to-end Machine Learning pipelines in the cloud, from data processing to model deployment, with practical insights on choosing environments and optimizing workflows.
Learn to create intelligent bots using Azure BOT Framework for natural user interactions in apps and websites. Explore building, connecting, deploying, and managing conversational AI.
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