The AI Fundamentalists
Total duration:
16 h 54 min
Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 2
The AI Fundamentalists
41:58
Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 1
The AI Fundamentalists
27:29
The future of AI: Exploring modeling paradigms
The AI Fundamentalists
33:42
Agentic AI: Here we go again
The AI Fundamentalists
30:21
Contextual integrity and differential privacy: Theory vs. application with Sebastian Benthall
The AI Fundamentalists
32:32
Model documentation: Beyond model cards and system cards in AI governance
The AI Fundamentalists
27:43
New paths in AI: Rethinking LLMs and model risk strategies
The AI Fundamentalists
39:51
Complex systems: What data science can learn from astrophysics with Rachel Losacco
The AI Fundamentalists
41:02
Preparing AI for the unexpected: Lessons from recent IT incidents
The AI Fundamentalists
34:13
Exploring the NIST AI Risk Management Framework (RMF) with Patrick Hall
The AI Fundamentalists
41:24
Data lineage and AI: Ensuring quality and compliance with Matt Barlin
The AI Fundamentalists
28:29
Differential privacy: Balancing data privacy and utility in AI
The AI Fundamentalists
28:17
Responsible AI: Does it help or hurt innovation? With Anthony Habayeb
The AI Fundamentalists
45:59
Baseline modeling and its critical role in AI and business performance
The AI Fundamentalists
36:23
Information theory and the complexities of AI model monitoring
The AI Fundamentalists
21:56
The importance of anomaly detection in AI
The AI Fundamentalists
35:48
What is consciousness, and does AI have it?
The AI Fundamentalists
32:55
Upskilling for AI: Roles, organizations, and new mindsets
The AI Fundamentalists
41:23
Non-parametric statistics
The AI Fundamentalists
32:49
AI regulation, data privacy, and ethics - 2023 summarized
The AI Fundamentalists
31:27
Managing bias in the actuarial sciences with Joshua Pyle, FCAS
The AI Fundamentalists
43:41
Model Validation: Performance
The AI Fundamentalists
43:56
Model validation: Robustness and resilience
The AI Fundamentalists
36:23
Digital twins in AI systems
The AI Fundamentalists
23:48
Fundamentals of systems engineering
The AI Fundamentalists
28:12
Synthetic Data in AI
The AI Fundamentalists
31:46
Modeling with Christoph Molnar
The AI Fundamentalists
27:02
Why data matters | The right data for the right objective with AI
The AI Fundamentalists
36:37
Truth-based AI: LLMs and knowledge graphs - back to basics
The AI Fundamentalists
30:56
Why AI Fundamentals? | AI rigor in engineering | Generative AI isn't new | Data quality matters in machine learning
The AI Fundamentalists
26:03
