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Guests:
- Dr. Tolga Birdal, Assistant Professor at Imperial College London
- Hosts: Alex, Shirosh
Episode Summary:
This episode dives into the fascinating world of artificial intelligence with Dr. Tolga Birdal, a leading researcher in computer vision, 3D geometry, and machine learning. Dr. Birdal shares his inspiring journey from engineer to academic, exploring his groundbreaking research in 3D object recognition, neural networks, and the emerging field of topological deep learning.
Dr Birdal recently won the prestigious UKRI Future Leaders fellowship.
Listeners will learn about:
- Dr. Birdal's research in 3D vision, geometry, and machine learning (#computer vision, #3Dgeometry, #machinelearning)
- The challenges of data representation and collection in AI (#datarepresentation, #AI)
- Topological deep learning and its potential to unlock new discoveries (#topologicaldeeplearning, #artificialintelligence)
- Ethical considerations in AI, particularly regarding medical data and privacy (#ethicsinAI, #AIandprivacy)
- Balancing theoretical research with practical applications in AI (#research, #AIapplications)
- The power of interdisciplinary collaboration to drive innovation in AI (#collaboration, #AIresearch)
- Dr. Birdal's path from tech startups to leading academic research (#entrepreneurship, #academia)
Memorable Quotes:
- "Don't let go of what you love because that's where you'll be the most innovative." - Dr. Tolga Birdal
- "The best discoveries are made by looking at what's hidden in plain sight." - Dr. Tolga Birdal
- "Topological deep learning allows us to model complexities in data that traditional methods can’t capture." - Dr. Tolga Birdal
Resources Mentioned:
Connect with Us:
- Follow the podcast for more discussions with AI and tech leaders.
- Stay up-to-date with Dr. Birdal's latest research on topological deep learning.
This episode is a must-listen for anyone interested in:
- The future of artificial intelligence
- Machine learning and computer vision
- The impact of AI on various fields
- The importance of interdisciplinary collaboration in scientific research
- Inspiring stories of career transitions
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