PhD Students Overview - Part 4
Explore the research and contributions of Ph.D. students under Dr. Sheth's guidance at the AI Institute, gaining insights into cutting-edge AI projects and advancements.
Transformers in Time Series: A Survey
Explore the application of Transformer models in time series analysis, covering recent advancements and potential future directions in this rapidly evolving field.
PhD Dissertation Overview - Lecture 18
Explore a PhD dissertation overview, gaining insights into advanced research methodologies and findings in a specific field of study.
AI for Sustainability - Keynote Address
Explore cutting-edge AI insights and applications in this keynote address by Dr. Amit Sheth, a leading expert in artificial intelligence and semantic computing.
AI One Can Trust
Explore trustworthy AI principles and applications with Dr. Biplav Srivastava, focusing on ethical considerations and practical implementations in various domains.
Introduction to AI
Explore the fundamentals of artificial intelligence and its impact on businesses with insights from Dr. Amit Sheth's comprehensive overview.
PhD Dissertation Overview - Part 1
Explore key insights from a PhD dissertation overview, focusing on advanced research topics and methodologies in artificial intelligence.
PhD Overview by Students - Lecture 16
Gain insights into the PhD experience through student perspectives, guided by Dr. Sheth's expertise in AI research and academia.
Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks
Explore AI-powered global weather forecasting using 3D deep networks and Earth-specific priors. Learn about Pangu-Weather's accuracy in medium-range predictions and extreme weather tracking.
How Much AI is in AI Engineering
Explore the role of AI in engineering, examining its applications and limitations in modern software development practices.
Introduction to Federated Learning with Flower - A Hands-on Tutorial
Explore federated learning with Flower framework. Learn AI training across devices, enhancing privacy without centralizing data. Includes hands-on tutorial and insights into reshaping AI while protecting sensitive information.
The Science of Stories: Measuring and Exploring the Ecology of Human Stories with Lexical Instruments
Explore the use of lexical meters to measure social and cultural phenomena through social media and text analysis, uncovering insights into human behavior and storytelling.
Mathematics for Deep Neural Networks: Introduction - Lecture 1 of 5
Explore mathematical foundations of deep neural networks, including algorithms, data fitting, and theoretical approaches in this comprehensive overview.
Spanning Multi-Asset Payoffs with ReLUs
Explore innovative techniques for spanning multi-asset payoffs using Rectified Linear Units (ReLUs) in mathematical finance, enhancing portfolio optimization strategies.
Extending Weak Supervision Beyond Classification - New Research Insights
Explore groundbreaking research extending weak supervision to new task types, including ranking, and its potential impact on AGI superalignment.
How AI Impacts the Insurance Industry Today
Explore AI's impact on insurance, addressing data challenges and LLM applications. Learn how Snorkel's approach enhances datasets and satisfies regulators in enterprise AI implementation.
Leveraging Data to Unlock AI's True Potential in Enterprise Projects
Unlock AI's potential through data development. Learn to fine-tune LLMs for domain-specific tasks, leverage expert knowledge, and accelerate high-quality dataset creation using Snorkel Flow.
How Data Can Close the Foundation Model Performance Gap
Explore data-centric development's role in bridging the gap between AI's power and its practical value for companies, focusing on Foundation Models.
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.
Data-Centric AI Approach in Pharmaceutical Industry - AstraZeneca Case Study
Explore data-centric AI in pharma: personalized doctor education, patient treatment optimization, and real-world data utilization for predictive modeling at AstraZeneca.
Transforming Call Center Operations with AI - A Financial Institution Case Study
Explore how a major financial firm enhanced customer service using Snorkel Flow's AI solution. Learn about implementation challenges, impacts, and future plans for integrating all customer touchpoints.