Artificial Intelligence : Papers & Concepts
Dr. Satya MallickThis podcast is for AI engineers and researchers. We utilize AI to explain papers and concepts in AI.
| Publishes | Daily | Episodes | 45 | Founded | 6 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | EducationTechnology | |||
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Latest Episodes
In this episode of Artificial Intelligence: Papers and Concepts, we explore V-JEPA 2.1, an advanced video learning model that moves beyond traditional supervised training. Instead of relying on labeled datasets, V-JEPA learns by predicting missing pa... more
In this episode of Artificial Intelligence: Papers and Concepts, we explore NeRFify, a cutting-edge approach that uses neural radiance fields (NeRFs) to transform 2D images into rich, photorealistic 3D scenes. By learning how light interacts with a s... more
In this episode of Artificial Intelligence: Papers and Concepts, we explore Molmo Point, an extension of multimodal AI that focuses on precise visual grounding enabling models to not just describe images, but accurately point to specific regions with... more
In this episode of Artificial Intelligence: Papers and Concepts, we explore "Think, Then Lie," a concept that challenges a key assumption in modern AI that better reasoning always leads to more truthful outputs. As language models become more capable... more
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Apple Podcasts | #160 |  Singapore/Technology |
Apple Podcasts | #223 |  Switzerland/Technology |
Apple Podcasts | #246 |  Chile/Technology |
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
This show centers on explaining AI research papers and core concepts for engineers and researchers, often translating complex developments into practical implications for developers and organizations. Recent episodes span topics like AI-generated content and copyright, frontier model architectures, multimodal systems, and scalable inference, with recurring emphasis on how new techniques affect real-world deployments, privacy, and policy context. A notable pattern is the clear sponsorship integration and a strong orientation toward enterprise applicability—helpful for teams evaluating AI strategies, tooling, or investment in cutting-edge research.
Across episodes, the hosts unpack technical breakthroughs, governance questions, and future di... more
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Which podcasts are similar to this podcast?
These podcasts share a similar audience with this podcast:
1. Neural intel Pod
2. Practical AI
3. Latent Space: The AI Engineer Podcast
4. The AI Daily Brief: Artificial Intelligence News and Analysis
5. NVIDIA AI Podcast
How many episodes of this podcast are there?
this podcast launched 6 months ago and published 45 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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