The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
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Jan 27, 2022 Zachary Lipton, an assistant professor at Carnegie Mellon University and AI expert, dives into the evolving landscape of machine learning and deep learning. He discusses how NLP is dominating AI, highlights breakthroughs like DeepMind's AlphaFold for protein folding, and critiques the current peer-review system. Lipton emphasizes the significance of fairness and causal insights in AI, addressing challenges in incorporating ethical considerations. He reflects on the need for innovation amidst established techniques, revealing exciting opportunities for 2022 and beyond.
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Slowdown in ML Advancements
- The rapid pace of groundbreaking advancements in machine learning has slowed down in recent years.
- Researchers are now searching for new impactful breakthroughs.
NLP's Shift from Language to Tools
- NLP is becoming more like generic sequence processing, losing its language-specific focus.
- Deep learning's influence has made NLP more about tools than linguistic analysis.
Convergence of Computer Vision and NLP
- Computer vision and NLP have become increasingly similar due to shared deep learning tools.
- This crossover allows for easier transfer of ideas between the two fields.