Towards a Posthuman Future - Advances in Technology and AI
Martin Rees explores how technological and AI advancements could empower humanity to overcome global threats, discussing the potential for a posthuman future and its implications for our species.
Automating Tasks with AI: Email Summarization and News Updates
Learn to automate tasks using AI with Make, including email summarization, AI news updates, and email-to-speech conversion. Boost productivity and stay informed effortlessly.
Statistical Physics and Machine Learning - A 30 Year Perspective
Explore the 30-year evolution of connections between statistical physics and machine learning, offering insights into their intertwined development and future implications.
Open Data at Facebook - Ecosystem, Maps, and Humanitarian Efforts
Explore Facebook's open data initiatives, including wildfire mapping, population tracking, and humanitarian efforts using AI and satellite imagery for global impact.
Open Source Deep Learning Frameworks and Accelerators - 2019 Forum
Explore open source deep learning ecosystems, frameworks, and accelerators with insights on supply chains and metrics in AI development.
A MLOps Platform for All Data Personas
Explore IKEA's journey in developing a custom MLOps platform that addresses diverse data personas, standardizes model development, and leverages open-source components for efficient AI/ML productionization.
Exploring Open Regulation Technology with the LCR
Exploring open regulation technology using the LCR, demonstrating how regulations can be delivered as code and integrated with data cataloguing, lineage, and ontologies in the finance industry.
Neural Search Improvements with Apache Solr 9.1 - Approximate Nearest Neighbor and Pre-Filtering
Explore neural search in Apache Solr 9.1, including HNSW graph improvements, pre-filtering capabilities, and Deep Learning integrations for enhanced search relevance and efficiency.
Sci-fi Destroys the World, Science Builds It - The Influence of Science Fiction on Technology
Explore the interplay between science fiction and real-world technology, examining how they influence each other and shape our future, with insights from roboticist and author Daniel Wilson.
AI's Rebirth: The Impact of Open Source and Cloud Computing
Explore how open source and cloud computing have fueled AI's resurgence, enabling widespread adoption and innovation in machine learning technologies and applications.
Deep Learning Panel Discussion
Insightful panel discussion exploring deep learning advancements, industry applications, and future trends with experts from Huawei, China Mobile Research Institute, and The Linux Foundation.
AI in the Real World: Today and Tomorrow
Explore the current state and future potential of AI in real-world applications with insights from machine learning expert Hilary Mason, covering practical implementations and emerging trends.
Artificial Intelligence: Current State and Future Prospects - Keynote Conversation
Explore AI's current state, impact, and future with Noah Goodman and Jim Zemlin. Delve into open source's role, data's future, and the driving forces behind AI's rapid advancement.
Weaving the XBOM Fabric - Enhancing Supply Chain Transparency
Explore the [X]BOM Fabric: a revolutionary approach to digitize Bills of Materials, enhancing supply chain transparency, security compliance, and vulnerability analysis across diverse industries and technologies.
Bringing the Power of ONNX to Apache Spark - Integrating Deep Learning Inference
Explore integrating ONNX with Spark for efficient deep learning inference pipelines. Learn about Ascend Hardware Platform's ONNX contributions and Spark community's simplified API for DL inferencing.
Democratizing AI with Sparklyr
Learn to leverage Sparklyr for scalable machine learning and AI applications, empowering data scientists to work efficiently with big data in R.
The Gold Standard - Data Quality and Data Contracts in AI
Explore data contracts for AI systems: ensuring data quality, schema, semantics, and governance. Learn to evolve data models iteratively and apply incremental governance for trustworthy AI training datasets.
Framework and Lessons Learned from Building a Generative AI Application - Jason Tan
Discover insights on building Generative AI applications, exploring frameworks, lessons learned, and the advantages of embedded AI for innovative solutions and business integration.
Simplifying Testing of Spark Applications
Learn techniques to simplify testing Spark applications, covering Python UDFs, Pandas UDFs, and functional APIs. Explore practical scenarios and demos for efficient data processing and analysis.
Open Source Summit Keynotes - Future of Work, AI, Innovation, and Inclusion
Explore the future of work, open-source innovation, and diversity in tech with industry leaders. Gain insights on collaboration, AI, cloud computing, and inclusive practices shaping the tech landscape.
IDB Digital Transformation Workshop - Trends and Challenges
Explore digital transformation trends with insights from Linux Foundation's SVP, covering reimagination, challenges, and the role of technology in societal evolution.