Published Oct 6, 2022
Jehan Wickramasuriya — AI in High-Stress Scenarios
Lukas Biewald and Jehan Wickramasuriya delve into the transformative role of synthetic data in AI, addressing challenges in model evaluation and the integration of AI in public safety scenarios. They explore innovative solutions for handling scarce data, optimizing AI models across platforms, and enhancing video security systems to meet high-stress demands.

Topics covered
Popular Clips
Episode Highlights
Related Episodes


Richard Socher — The Challenges of Making ML Work in the Real World
Answers 383 questions

Hamel Husain — Building Machine Learning Tools
Answers 383 questions

The Power of AI in Search with You.com's Richard Socher
Answers 383 questions

Alyssa Simpson Rochwerger — Responsible ML in the Real World
Answers 383 questions

Autonomous Mobile Robot Deployment: Interview with Jean Marc Alkazzi at idealworks
Answers 383 questions

Johannes Otterbach — Unlocking ML for Traditional Companies
Answers 383 questions

Reinventing AI Agents with Imbue CEO Kanjun Qiu
Answers 383 questions

Adrien Gaidon — Advancing ML Research in Autonomous Vehicles
Answers 383 questions

James Cham — Investing in the Intersection of Business and Technology
Answers 383 questions

Jerome Pesenti — Large Language Models, PyTorch, and Meta
Answers 383 questions

Mircea Neagovici — Robotic Process Automation (RPA) and ML
Answers 383 questions

Jensen Huang — NVIDIA's CEO on the Next Generation of AI and MLOps
Answers 383 questions

Harnessing AI for legal practice with CoCounsel’s Jake Heller
Answers 383 questions

Jack Clark — Building Trustworthy AI Systems
Answers 383 questions

Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Answers 383 questions












