Dec 17, 2024: Towards Time_Series Foundation Models,  an invited talk at FSC-BOK-BIS Joint Conference: AI, Finance and Central Banking: Opportunities, Challenges, and Policy Responses. 

Dec 14, 2024: Continual learning in the era of foundation models, a keynote at the NeurIPS 2024 workshop on Scalable Continual Learning for Lifelong Foundation Models.

Nov 21, 2024: Scale to AGI (some recent developments in scaling laws), a talk at the Curve conference.

 Oct 22, 2024:  Rethinking Intelligence from Dynamical Systems Perspective, an invited talk at  MAIN conference, Montreal.

Sept 11, 2024: On Scaling Laws, Foundation Models and HPC, a keynote at AutoML 2024.

July 24, 2024: Towards AGI: Predicting Scaling Behaviors and Training    Large Foundation Models on Supercomputers, an invited talk at the Women in ML (WIML) symposium at ICML 2024. 

June 13, 1:30pm-3:00pm EDT,  Emergent Behaviors & Foundation Models in AI, an invited talk at   LARGE LANGUAGE MODELS : SCIENCE AND STAKES (June 3 – June 14 2024) 

April 25, 2024:  Recent Advances in Foundation Models: Continual Training, Time-Series and VLM Evals,  an invited talk at the Symposium on AI and LLMs, CUNY, NYC.

April 24, 2024:  Towards AGI: Predicting Scaling Behaviors and Training Large Foundation Models on Supercomputers, an invited talk at the World Summit AI Americas 2024, Montreal. 

 April 18, 2024: Scaling to AGI, an invited talk at the University of Chicago Data Science Institute (DSI) Distinguished Speaker Series.

April 13, 2024: The AI Scaling Revolution and the Future of Intelligence,  a keynote talk at the MTAConf2024, Provo, Utah.

April 5, 2024: Lag-LLama: Towards Time-Series Foundation Models, an online guest lecture at the University of Warsaw 

March 25, 2024: Continual Learning of Foundation Models, an invited talk at the  NSF Open-Source Generative AI Workshop, NYC

March 18, 2024:  On Scaling Laws, Foundation Models and HPC, an invited talk at   The Future of Discovery in the Age of Human-AI Collaboration,,   Michigan Institute for Data Science (MIDAS)  

March 12, 2024:  Towards AGI: Predicting Scaling Behaviors and Training Large Foundation Models on Supercomputers, an invited talk at Microsoft Research, Montreal.

March 7, 2024:  Scaling Laws and Emergent Behaviors in Foundation Models, an invited talk at Statistical Physics Meets Machine Learning II session,  March Meeting 2024 - American Physical Society, Minneapolis.

 Feb 26, 2024:  AI 4 Psychology and Psychology 4 AI: Towards Better Alignment Among Humans and Machines, a keynote  talk at  AAAI-2024 Machine Learning for Cognitive and Mental Health (ML4CMH) workshop.

Feb 7, 2024:  On Scaling Laws and Foundation Models: an Overview of Our INCITE 2023 Efforts, an invited talk at the  Trillion Parameter Consortium (TPC) Seminar Series.

Dec 11, 2023:   Complex systems view of large-scale AI systems    (video)  a brief talk at the  Alignment Workshop   

Nov 17, 2023: Divide and Conquer: Scaling AI via Federated Learning and Distributed Alternatives to Backpropagation, an invited talk at the  The Second Workshop on Federated and Privacy Preserving AI for HPC 

October 31, 2023:  Continual Learning at Scale, talk at Mila Continual Learning reading group

October 20, 2023:  From AI Systems to Systems (Neuro-)AI?  A talk at the UNIQUE Scientific Retreat, Tremblant.

August 29, 2023:  The Large-scale AI Revolution: Breakthroughs and Challenges, a keynote talk at the Smoky Mountains  Computational Sciences and Engineering    Conference (SMC2023) Knoxville, Tennessee.

August 25, 2023:  Continual Learning at Scale, a keynote talk at the Second Conference on Lifelong Learning Agents - CoLLAs 2023.

July 29, 2023: Backpropagation Alternatives and Scalable AI, a plenary talk at the ICML 2023 workshop on Localized Learning

July 28, 2022  Neural Scaling Laws and Emergent Behaviors, a talk at the 5th Neural Scaling workshop co-located with ICML 2023.

July 20.2023: CERC in Autonomous AI: 2022-2023 Research Summary and Future Plans

June 24, 2023: Scaling Laws and Emergent Behaviors, in the Human-Level AI workshop, Boston.

June 18, 2023:   On Scaling Laws, Emergent Properties and AI Democratization efforts, a plenary talk at AGI-23, 16th Annual AGI Conference in Stockholm, Sweden.

May  23,  2023: Recent Advances in Foundation Models: Scaling Laws, Emergent Behaviors, and AI Democratization, a plenary talk at the Cosmic Connections: A ML X Astrophysics Symposium at Simons Foundation.

March 29, 2023: Advances in Foundation Models and Scaling Laws, a keynote talk at EDGeS workshop, San Francisco (Burlingame).

March 8, 2023: On Scaling Laws, Emergent Properties and AI Democratization efforts,  a keynote talk at the Predictable AI workshop  (https://www.predictable-ai.org/)

Feb 7, 2023: Towards Genuinely Open AI: The Role of Supercomputers, an invited  talk at the The 5th R-CCS International Symposium | RIKEN.

Nov 7 2022: Computational Psychology & Psychological Computation, an invited  talk at the AI Helps Ukraine - Charity Conference.

Oct 17, 2022: Towards General and Robust AI at Scale, an invited  talk at the Fields Medal Symposium.

Oct 4, 2022: Towards General and Robust AI at Scale, an invited talk at the Morgan Stanley ML Seminar, New York.

May 5, 2022: Towards General and Robust AI at Scale, a keynote  talk at the World Summit AI Americas, Montreal.

April 7, 2022: Towards General and Robust AI at Scale, an invited talk at the NAISys workshop  (From Neuroscience to Artificially Intelligent Systems), Cold Spring Harbor, NY.

March 14, 2022: Towards General and Robust AI, an invited talk at the symposium on Statistical Physics Meets Machine Learning, at the APS March meeting.

Feb 2, 2022: Towards General and Robust AI at Scale, an invited talk at the  AI Sweden NLP Seminar

Jan 27, 2022: Towards General and Robust AI at Scale, an invited talk at the Institute of Advanced Research in AI.

Jan 25, 2022:  Towards General and Robust AI at Scale, an invited talk at the Accelerated Data Analytics and Computing (ADAC)  Institute  workshop.

Aug 26, 2021: On Neural Scaling Laws, an invited talk in IBM Research AI seminar series.

July 30, 2021: Tutorial on Lifelong Learning at DLRL Summer School.

July 2021: Continual Learning with Deep Architectures, a tutorial at ICML 2021.

Spring 2021: Reward Processing Biases in Humans and RL Agents, 2021 Reinforcement Learning Virtual School.

Spring 2021: Lifelong learning and Robustness, Mila partners symposium.

Spring 2021: Beyond Backprop: Different Approaches to Credit Assignment in Neural Nets, invited talk at Neuro Inspired Computational Elements (NICE)Conference 2021.

December 2020:  Bringing AI and Neuroscience Together, an invited talk at Machine Learning in Science & Engineering (MLSE 2020).

October 2020: Dialogue Modeling Via Hash Functions: Applications to Psychotherapy, an invited talk at WeCNLP 2020. 

Towards Broad and Robust AI, CBDS Distinguished Speaker Series Online, Yale University, Oct 7 2020.

Towards Less Artificial Intelligence, a plenary talk at Montreal AI Symposium, Sept 11 2020.

Lifelong Learning: Towards Broad and Robust AI, an invited talk at the 4th Lifelong Learning workshop at ICML 2020, July 18 2020 (video, slides).

Continual Learning, Mila weekly webinar series, June 25 2020. (video, slides)

AI against COVID-19  @  webinar by Islamic World Educational, Scientific and Cultural Organization (ICESCO) &  AI Civic Forum (AlgoraLab, The Future Society, Mila and UdeM), Apr 27 2020.

Towards New AI: Feeling Machines, Homeostatically Motivated Intelligence and Scale-free Cognition, Neural-AI seminar @ Mila, February 28 2020. (video, slides)

Dialog Modeling via Hash Functions, Tea talk @ Mila,  January 17 2020.

Overview of Mila (pdf and ppt, short version),  session "Research Interests" at DIRO/UdeM, January 8 2020.

Where Artificial Intelligence and Neuroscience Meet, FutureTech podcast, Dec 2019.

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables, MILA workshop on Neural Backpropagation,  Dec 2019.

Towards the Synergy Between AI and Neuroscience, talk at University of Montreal, June 2019.

AI and Neuroscience: Bridging the Gap, invited talk, New York University (NYU), May 2019.

AI in Neuroscience.  invited talk, National Institute of Health (NIH), April 2019.

AI and Neuroscience: Bridging the Gap, plenary talk. Neuro-Inspired Computing Elements (NICE) conference, March 2019.

Neuro-AI @ IBM Research, internal talk at IBM Research seminar, March 2019.

Modeling Brain Dynamics: van der Pol, LSTMs and beyond, invited talk, Montreal AI & Neuroscience (MAIN) conference, December 2018.

AI for Neuroscience and Neuroscience for AI, invited talk, MLconf 2018, San Francisco, November 2018.

AI and Neuroscience, invited talk, Helsinki Distinguished Lecture Series on Future Information Technology, Aalto University, Aalto, Finland, November 2018.

AI for Mental Health (part 1) and Automated Language-Based Psychiatric Assessment (part 2). Plenary talks at Brazilian Congress of Innovation in Psychological Assessment and Neuroscience, Porto Allegre, Brazil, September 2018.

Neurogenesis-Inspired Dictionary Learning, presented at IJCAI-2017.

Brain and AI, plenary talk at SAI conference, London, July 2017.

Learning About the Brain and Brain-Inspired Learning, invited talk at MLconf, NYC, March 2017.

Learning About the Brain:  Neuroimaging and Beyond. Plenary talk at NIPS-2016, Barcelona, Spain, December 2016. (video)

Sparse Models and Beyond, invited talk at MLconf 2015, San Francisco, November 2015.