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Mihaela Rosca · Research Engineer at DeepMind // ReMotive @ LAPIPA
MP3•Episode home
Manage episode 303740735 series 2897879
Content provided by ReMotive Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ReMotive Media or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode, we sit down with Mihaela Roșca, a Research Engineer at DeepMind, one of the world’s most advanced and influential artificial intelligence research labs. DeepMind is renowned for its bold, high-impact breakthroughs—from mastering complex strategy games like Go and Starcraft, to revolutionizing protein folding with AlphaFold, and optimizing weather prediction and energy efficiency at planetary scale. It’s not just about research for its own sake—DeepMind’s work is actively shaping the future of science, technology, and society. Mihaela’s journey to DeepMind is a testament to the rigorous academic and applied excellence the organization represents. She began her career as a Software Engineer at Google Zurich, working on natural language processing using neural networks. She went on to pursue a PhD at University College London (UCL), under the mentorship of renowned machine learning professor Marc Deisenroth. Her research sits at the intersection of generative models, reinforcement learning, NLP, and the challenge of building scalable and safe machine learning systems—with a special intellectual curiosity for probability distributions and their central role in learning. Mihaela holds a first-class honours MEng in Computing from Imperial College London, where she was recognized for her academic excellence, and today she is part of a world-class team pushing the theoretical and practical limits of artificial intelligence. In this episode, we explore:
Back in 2021, while much of the industry was still catching up with the possibilities of AI, ReMotive and LA PIPA IS LA PIPA—under the leadership of Alex Lawton—were already operating at the highest standard of global thought leadership. This conversation with Mihaela Roșca of DeepMind is further proof: bold, technical, visionary, and years ahead of the curve.
…
continue reading
- Her path from Google to academia, and from there to DeepMind.
- The role of foundational research in unlocking real-world applications of AI.
- Why probabilistic reasoning remains a critical area of focus in machine learning.
- What it means to build AI systems that are both powerful and safe.
- How DeepMind thinks about the societal implications of its work.
Back in 2021, while much of the industry was still catching up with the possibilities of AI, ReMotive and LA PIPA IS LA PIPA—under the leadership of Alex Lawton—were already operating at the highest standard of global thought leadership. This conversation with Mihaela Roșca of DeepMind is further proof: bold, technical, visionary, and years ahead of the curve.
22 episodes
MP3•Episode home
Manage episode 303740735 series 2897879
Content provided by ReMotive Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ReMotive Media or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode, we sit down with Mihaela Roșca, a Research Engineer at DeepMind, one of the world’s most advanced and influential artificial intelligence research labs. DeepMind is renowned for its bold, high-impact breakthroughs—from mastering complex strategy games like Go and Starcraft, to revolutionizing protein folding with AlphaFold, and optimizing weather prediction and energy efficiency at planetary scale. It’s not just about research for its own sake—DeepMind’s work is actively shaping the future of science, technology, and society. Mihaela’s journey to DeepMind is a testament to the rigorous academic and applied excellence the organization represents. She began her career as a Software Engineer at Google Zurich, working on natural language processing using neural networks. She went on to pursue a PhD at University College London (UCL), under the mentorship of renowned machine learning professor Marc Deisenroth. Her research sits at the intersection of generative models, reinforcement learning, NLP, and the challenge of building scalable and safe machine learning systems—with a special intellectual curiosity for probability distributions and their central role in learning. Mihaela holds a first-class honours MEng in Computing from Imperial College London, where she was recognized for her academic excellence, and today she is part of a world-class team pushing the theoretical and practical limits of artificial intelligence. In this episode, we explore:
Back in 2021, while much of the industry was still catching up with the possibilities of AI, ReMotive and LA PIPA IS LA PIPA—under the leadership of Alex Lawton—were already operating at the highest standard of global thought leadership. This conversation with Mihaela Roșca of DeepMind is further proof: bold, technical, visionary, and years ahead of the curve.
…
continue reading
- Her path from Google to academia, and from there to DeepMind.
- The role of foundational research in unlocking real-world applications of AI.
- Why probabilistic reasoning remains a critical area of focus in machine learning.
- What it means to build AI systems that are both powerful and safe.
- How DeepMind thinks about the societal implications of its work.
Back in 2021, while much of the industry was still catching up with the possibilities of AI, ReMotive and LA PIPA IS LA PIPA—under the leadership of Alex Lawton—were already operating at the highest standard of global thought leadership. This conversation with Mihaela Roșca of DeepMind is further proof: bold, technical, visionary, and years ahead of the curve.
22 episodes
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