Talks
For invitations, write to ali@arkitus.com.
Past Talks
- From Artifact to Process: How AI Is Changing What It Means to Create Augmented Humans, London, September 2026. Programme
-
Jaipur Literature Festival
Jaipur, India, January 2026.
- AI in the Era of Large Language Models TANK magazine, Apr 2023. Video
- Neural Priors, Neural Encoders, Neural Decoders Royal Society Workshop on New Approaches to 3D Vision, Nov 2021. Video
- Representation Learning Without Labels ICML 2020 tutorial, July 2020. SlidesVideos
- Making Machines Creative TEDx Warwick, February 2020. Video
- Neural Scene Representation and Rendering Eurographics Symposium on Rendering, Strasbourg, France, July 2019, and 6 other venues. Slides
- Attend, Infer, Repeat: Fast Scene Understanding with Generative Models Beyond Supervised Learning Workshop, ICCV, Venice, Italy, October 2017, and 4 other venues. Slides
- Modern Artificial Intelligence Invited Lecture, Digikala, Tehran, Iran, December 2016, and 7 other venues. Version 2 SlidesVersion 2 PDFVersion 1 SlidesVersion 1 PDF
- Artificial Intelligence and Computer Aided Design Alan Turing Institute, London, UK, November 2019, and 7 other venues. Slides
- Extensions to Message Passing Inference Sharif University of Technology, Kish, Iran, December 2014, and one other venue. Slides
- Boltzmann Machines and their Extensions Heriot-Watt University, Edinburgh, UK, March 2013. Slides
- Generative Models of Images of Objects Sharif University of Technology, Tehran, Iran, January 2013, and 4 other venues. Slides
- The Shape Boltzmann Machine: a Strong Model of Object Shape Computer Vision and Pattern Recognition (CVPR), Providence, USA, June 2012, and one other venue. SlidesVideo
- Factored Shapes and Appearances for Parts-based Object Understanding British Machine Vision Conference, Dundee, UK, August 2011, and one other venue. SlidesVideo
- Hierarchical Probabilistic Models for Object Segmentation Canadian Institute for Advanced Research Summer School, Toronto, Canada, August 2010. Slides
- High Dynamic Range Lighting on the Xbox 360 TechMeetup, Edinburgh, UK, April 2010. SlidesVideo
Media
- TechStuff 2026
- Things I’ve Learnt 2024
- TANK Podcast 2024
- Where Shall We Meet 2024
- TANK 2023
- 60 Minutes 2023
- TEDx Warwick 2020
- Quanta Magazine 2018
- Ars Technica 2018
- The Late Show with Stephen Colbert 2017
Biography
Short
Ali Eslami is a research scientist who spent twelve years at Google DeepMind, most recently as a Distinguished Research Scientist working on recursive self-improvement for Gemini.
Long
Ali Eslami is a research scientist. For twelve years Ali was at Google DeepMind, most recently as a Distinguished Research Scientist working on recursive self-improvement for Gemini. Ali co-founded the Gemini Prototyping team and built the prototypes that led to AI Mode in Google Search and to Generative UI. Earlier, Ali led DeepMind’s DLX team, working on generative models, self-supervised learning and multimodal language models, and its Quantum Chemistry and Materials team. Ali’s research includes the Generative Query Network, published in Science, and Attend, Infer, Repeat.
Before Google, Ali was a postdoctoral researcher at Microsoft Research Cambridge, and received a PhD from the University of Edinburgh.
