Rethinking Government with AI - Public Policy After COVID-19
Experts explore AI's role in post-COVID policymaking, discussing technologies that aided during the pandemic and their future potential in government, including simulation, modeling, and addressing online harms.
Clinical AI Interest Group: Health Equity in AI Lifecycle - October 2023
Explore health equity in AI with experts discussing the Health Equity Across the AI Lifecycle framework and updates on Clinical AI Interest Group activities.
Intellectual Property with GenAI: What LLM Developers Need to Know
Explore intellectual property issues in AI development, covering US IP laws, challenges in using and training models, and future legal trends affecting AI products and businesses.
Security and Privacy in AI Production - Panel Discussion
Explore AI security risks, privacy engineering, and ethical implications with industry experts. Gain insights on balancing utility and privacy in the evolving AI landscape.
From Lab to Production: Scaling AI for Critical Real-Time Applications
Explore scaling AI for critical real-time applications, from lab to production. Gain insights on building and leading AI teams for impactful products across various industries.
Robotics as an Enabler and Inhibitor of Sustainable Development Goals
Explore robotics' dual role in achieving UN Sustainable Development Goals. Analyze potential to enable 46% of targets while inhibiting 19%, focusing on economic, social, and environmental impacts.
Let's Adopt Generative AI in Enterprise - Best Practices and Challenges
Gain insights into enterprise AI adoption strategies, challenges, and best practices through PagerDuty's journey implementing generative AI technologies across teams and infrastructure.
AI Ethics and Culture in Technology - Interview with Elizabeth Adams
Insightful discussion with AI ethics leader Elizabeth Adams on her work and upcoming keynote, plus tech news covering AWS vulnerabilities, microservices, Firecracker, and Flutter for Windows.
Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15
Explore machine learning explainability, interpretability, and use cases for model insights. Learn about feature importance, debugging, and building trust in AI systems.
How to Become a Practical Data Scientist with Kaggle Learn
Discover a comprehensive, free path to becoming a practical data scientist using Kaggle Learn's step-by-step courses, covering Python, machine learning, data visualization, and more.
AI UK 2024 Preview - Data Science and AI Showcase
Explore highlights and insights from AI UK, the UK's national showcase of data science and AI, featuring interviews with leading experts and innovators in the field.
Exploring the Generative AI Landscape: From Basics to Hands-on Applications
Comprehensive introduction to Generative AI, covering fundamentals, applications, and real-world impact. Includes hands-on demo and discussion of limitations, suitable for beginners and tech enthusiasts.
What Industry Needs to Succeed with AI - Panel Discussion
Industry experts discuss key factors for successful AI implementation, focusing on challenges, opportunities, and ethical considerations in various sectors.
Accelerating Drug Discovery with AI - Insights from Isomorphic Labs
Explore AI's transformative role in drug discovery with Isomorphic Labs experts, discussing challenges, innovations, and future prospects in biotech and healthcare.
The Truth About AI - How to Build an Intelligent Machine - Lecture 1
Professor Mike Wooldridge explores the nature of artificial intelligence through experiments and demonstrations, investigating how AI learns and what it can do in this Royal Institution Christmas Lecture.
Introduction to AI
Explore the fundamentals of artificial intelligence and its impact on businesses with insights from Dr. Amit Sheth's comprehensive overview.
Google's Cloud Partner Engineer Chief on AI Ethics - Challenges and Benefits of Foundation Models for Enterprises
Explore challenges and benefits of Foundation Models for enterprises, focusing on inadequacies in current ML pipelines for FM development workflows.
Algorithmic Fairness and Individual Probabilities
Explore algorithmic fairness and the concept of individual probabilities, examining their implications for AI ethics and decision-making processes in machine learning applications.
Text to Image AI Backlash - Should AI Be Regulated? - Stable Diffusion’s Open Source Power
Explore the debate on AI regulation in text-to-image generation, comparing DALL-E and Stable Diffusion policies, and examining perspectives from industry experts and content creators.
What Is Generative AI and How Does It Work? - With Mirella Lapata
Explore the evolution, creation, and societal impact of generative AI and large language models like ChatGPT with expert Mirella Lapata in this comprehensive overview.
Generative AI Risks, Benefits, and Governance
Explore the dual nature of Generative AI through a comprehensive analysis of its benefits, risks, and governance frameworks from an industry expert's perspective.