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Brokoslaw Laschowski

@drlaschowski.bsky.social
363 followers 113 following 69 posts

Assistant Professor at University of Toronto. Director of Machine Intelligence Lab. Research in neural networks and learning systems. discover.research.utoronto.ca/33310…

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Brokoslaw Laschowski @drlaschowski.bsky.social · 9h
Building thinking machines. Follow @laschowski-lab.bsky.social for updates. 
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Brokoslaw Laschowski @drlaschowski.bsky.social · 25/09/2026
#NeurIPS2026 decisions are out. Congrats to those accepted. If yours wasn’t, keep going.
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Wu Tsai Institute | Yale University @wutsaiyale.bsky.social · 22/09/2026
This week at 100 College: Thursday, 9.24 | 10:00 - 11:15 am WTI Inspiring Speaker: Tom Griffiths, "Mapping the jagged edges of AI with the tools of cognitive science" 🔗 wti.yale.edu/event/2026-09/inspiring-speaker-tom-griffiths Open to the Yale community. wti.yale.edu/events #KnowTogether
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Brokoslaw Laschowski @drlaschowski.bsky.social · 22/09/2026
Invited talk at @msftresearch.bsky.social on building computational models of intelligence. Thanks for having me. @laschowski-lab.bsky.social
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Reza Shadmehr @rezashadmehr.bsky.social · 22/09/2026
Faculty position opening in computational neuroscience at Duke University. academicjobsonline.org/ajo/jobs/32697
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Brokoslaw Laschowski @drlaschowski.bsky.social · 20/09/2026
We are not thinking machines. We are feeling machines that think. — Dr. António Damásio
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Gatsby Computational Neuroscience Unit @gatsbyucl.bsky.social · 15/09/2026
Interested in a #PhD in machine learning & theoretical neuroscience? Applications for 2027 entry to the Gatsby Unit PhD programme are now open! 💰 Fully-funded 4-year programme 🤝 Close links to @sainsburywellcome.bsky.social ℹ️ www.ucl.ac.uk/life-science...
Applications to the Gatsby Unit PhD programme in Theoretical Neuroscience and Machine Learning are now open. Apply via the Gatsby Recruitment Portal by Monday 9 November 2026. 

Visit the programme webpage www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-programme for details.
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Brokoslaw Laschowski @drlaschowski.bsky.social · 14/09/2026
Proud to lead the UofT summer research program in computer science for students from Ukraine. @utoronto.ca @uoftcompsci.bsky.social @vectorinstitute.ai
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The New York Times @nytimes.com · 12/09/2026
Dario Amodei, who co-founded Anthropic, the company behind the Claude chatbot, called for a global slowdown of artificial intelligence development in a 3,800-word essay on Saturday. His appeal for a pause follows months of escalating concerns across the technology industry. nyti.ms/4AatwIK
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Brokoslaw Laschowski @drlaschowski.bsky.social · 09/09/2026
Our mission: reverse-engineer intelligence. Follow Machine Intelligence Lab for updates. @utoronto.ca @laschowski-lab.bsky.social
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Brokoslaw Laschowski @drlaschowski.bsky.social · 01/09/2026
Our new study on bidirectional representational alignment between biological and artificial neural networks. @utoronto.ca @laschowski-lab.bsky.social arxiv.org/abs/2608.18244
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Brokoslaw Laschowski @drlaschowski.bsky.social · 30/08/2026
Are you a #UofT student in computer science, math, physics, or engineering? Want research experience? We’re recruiting students to explore theory and algorithms for inverse reinforcement learning. Email me your resume and transcript.
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Brokoslaw Laschowski @drlaschowski.bsky.social · 25/08/2026
I started in neuroscience. Then spent several years building intelligent machines. Now I study general principles of learning and intelligence. Follow @laschowski-lab.bsky.social for updates.
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University of Toronto @utoronto.ca · 20/08/2026
#UofT ranked among world’s top 25 universities by ShanghaiRanking Consultancy 🗺️ uoft.me/cB7
Two students examining an ancient text
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Brokoslaw Laschowski @drlaschowski.bsky.social · 21/08/2026
UofT is hiring an Assistant Professor in Electrical and Computer Engineering, with a focus on Artificial Intelligence, through the Canada Impact+ Emerging Leaders program. Come join us in Toronto. @utoronto.ca jobs.utoronto.ca/job/Toronto-...
jobs.utoronto.ca
Assistant Professor - Electrical and Computer Engineering (Canada Impact+ Emerging Leader)
Assistant Professor - Electrical and Computer Engineering (Canada Impact+ Emerging Leader)
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Vector Institute @vectorinstitute.ai · 18/08/2026
Ontario faculty leading established AI research programs: Vector's Faculty Affiliate open call is live! 📣 ~20 spots for a three-year term, for active faculty at Ontario post-secondary institutions Details and application: na3.hubs.ly/y0zQ4H0
na3.hubs.ly
Vector Faculty Affiliate Open Call - Vector Institute for Artificial Intelligence
Vector Faculty Affiliate Open Call The Vector Institute invites applications to its Faculty Affiliate program. Faculty at Ontario post-secondary institutions who are working in Fundamental Machine Lea...
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Brokoslaw Laschowski @drlaschowski.bsky.social · 18/08/2026
Proud professor. The next-generation of machine learning researchers from Ukraine. @utoronto.ca @laschowski-lab.bsky.social
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Wu Tsai Institute | Yale University @wutsaiyale.bsky.social · 12/08/2026
Applications are open for a junior faculty position in neurocognition @yale.edu. We invite exceptional candidates investigating cognition to apply by October 15, 2026. Learn more: wti.yale.edu/opportunities/faculty-neurocognition Apply: apply.interfolio.com/189343 #KnowTogether #ScienceAtYale
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Machine Intelligence Lab @laschowski-lab.bsky.social · 07/08/2026
Meet Brandon Wong, an MSc student @uoftcompsci.bsky.social studying representation learning for neural decoding. His current research explores how diffusion latents affect downstream learning.
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Machine Intelligence Lab @laschowski-lab.bsky.social · 05/08/2026
www.youtube.com/watch?v=UW3j...
youtube.com
Bidirectional representational alignment between brains and machines
YouTube video by Computational Neuroscience Lab
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Aran Nayebi @anayebi.bsky.social · 04/08/2026
Version 2 of Theory of Contravariance w/ @dyamins.bsky.social is out! New material on contravariance for Transformers, and the theory of Representational Similarity Analysis (RSA) and centered kernel analysis (CKA)/Procrustes.
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Brokoslaw Laschowski @drlaschowski.bsky.social · 04/08/2026
Introducing our framework for interpreting reward functions recovered by inverse reinforcement learning. www.biorxiv.org/content/10.6... @utoronto.ca @laschowski-lab.bsky.social
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Dan Feldman @danfeldman.bsky.social · 31/07/2026
The Neuroscience Department at UC Berkeley is hiring an Asst Professor in Computational Neuro. All areas of computational/theoretical neuro are welcome. Deadline Oct 30. Join our neuroscience community! aprecruit.berkeley.edu/JPF05446 #AcademicJobs #Neuroscience #NeuroJobs
aprecruit.berkeley.edu
Assistant Professor - Computational Neuroscience - Department of Neuroscience
University of California, Berkeley is hiring. Apply now!
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Brokoslaw Laschowski @drlaschowski.bsky.social · 31/07/2026
Applications are now open for the Vector Distinguished Postdoctoral Fellowships. Come join our world-class machine learning research community. Apply by August 31: vectorinstitute.ai/research-tal...
vectorinstitute.ai
Postdoctoral Fellowships | AI Research | Vector Institute
Join Vector Institute's Distinguished Postdoctoral Fellowship program. Advance your AI research career with world-class faculty mentorship.
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The Wall Street Journal @wsj.com · 27/07/2026
Exclusive: Nvidia is investing in former OpenAI Chief Scientist Ilya Sutskever’s secretive artificial-intelligence lab, part of a long-term partnership that could boost the startup’s access to computing power while helping the chip giant fend off a rival wsj.visitlink.me/UseU5L
wsj.visitlink.me
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Brokoslaw Laschowski @drlaschowski.bsky.social · 27/07/2026
Come join us in Toronto. UofT is hiring an Associate Professor/Professor and endowed Hinton Chair in Artificial Intelligence. @utoronto.ca @uoftcompsci.bsky.social jobs.utoronto.ca/job/Toronto-...
jobs.utoronto.ca
Associate Professor/Professor - Artificial Intelligence
Associate Professor/Professor - Artificial Intelligence
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Machine Intelligence Lab @laschowski-lab.bsky.social · 27/07/2026
Aditya Rajeev presenting his research on valence-driven memory prioritization in machines. @utoronto.ca @uoftcompsci.bsky.social
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Machine Intelligence Lab @laschowski-lab.bsky.social · 27/07/2026
Brandon Wong presenting his research on diffusion latent representations for brain-machine interface decoding. @utoronto.ca @uoftcompsci.bsky.social
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Machine Intelligence Lab @laschowski-lab.bsky.social · 22/07/2026
Building computational models of learning, memory, and representation to better understand intelligence in brains and machines. Congratulations to Aditya Rajeev, Brandon Wong, and Samuel Kostousov. @utoronto.ca
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Machine Intelligence Lab @laschowski-lab.bsky.social · 20/07/2026
Valence-driven memory prioritization in machines by Aditya Rajeev, Sofiya Zbaranska, Sheena Josselyn, and Brokoslaw Laschowski. @utoronto.ca
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Machine Intelligence Lab @laschowski-lab.bsky.social · 20/07/2026
Bidirectional representational alignment between brains and machines by Samuel Kostousov, Abhin Kaushik, and Brokoslaw Laschowski. @utoronto.ca
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Machine Intelligence Lab @laschowski-lab.bsky.social · 20/07/2026
Inverse reinforcement learning of multi-agent interactions by Justin Chow, Yunran Yang, and Brokoslaw Laschowski. @utoronto.ca
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Machine Intelligence Lab @laschowski-lab.bsky.social · 20/07/2026
Diffusion latent representations for brain-machine interface decoding by Brandon Wong and Brokoslaw Laschowski. @utoronto.ca
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U of T Department of Computer Science @uoftcompsci.bsky.social · 16/07/2026
@utoronto.ca has announced a new, multi-year partnership with @cohere.com, which was founded in 2019 by former U of T computer science students and has become the world's leading sovereign AI company. www.utoronto.ca/news/u-t-par...
utoronto.ca
U of T partnership with Cohere sets the stage for responsible AI adoption at scale
The University of Toronto is advancing its commitment to responsible artificial intelligence adoption at scale through an ambitious multi-year partnership with Cohere, a Canadian-founded, Toronto-base...
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Brokoslaw Laschowski @drlaschowski.bsky.social · 14/07/2026
New paper: We introduce a framework for studying how intermediate representation choice affects downstream learning and reconstruction, with an initial demonstration in neural speech decoding using diffusion latents. www.biorxiv.org/content/10.6... @compneurolab.bsky.social @utoronto.ca
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 09/05/2026
A brain-inspired framework for memory prioritization in neural networks based on valence www.biorxiv.org/content/10.64898/20…
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 13/07/2026
Interpreting Rewards from Inverse Reinforcement Learning www.biorxiv.org/content/10.64898/20…
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 13/07/2026
Diffusion Latent Representations for Neural Decoding www.biorxiv.org/content/10.64898/20…
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Aran Nayebi @anayebi.bsky.social · 13/07/2026
1/6 Why have deep neural networks aligned so strongly with brains for the past 15 years? What explains it? @dyamins.bsky.social & I make progress on this question in our new paper👇 In a nutshell, we *prove* that for sufficiently hard tasks, the choice of alignment metric does *not* matter.
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ICML Conference @icmlconf.bsky.social · 08/07/2026
Congrats to the 2026 test of time award winners! #icml2026
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Kempner Institute at Harvard University @kempnerinstitute.bsky.social · 02/07/2026
📢 Just announced! Join us for the #KempnerInstitute workshop “Learning Dynamics in Natural and Artificial Intelligence: Evolution, Adaptation, and the Foundations of Efficient Learning.” Learn more, register, or submit an abstract 👉 bit.ly/3QwJlHR
bit.ly
Learning Dynamics in Natural and Artificial Intelligence - Kempner Institute
This workshop will convene researchers from artificial intelligence, neuroscience, cognitive science, and related disciplines to examine the principles governing learning and training dynamics across ...
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University of Toronto @utoronto.ca · 22/06/2026
#UofT ranked first in Canada, 20th globally in latest U.S. News & World Report university rankings 🌎 uoft.me/cv3
Researchers looking at ancient text (photo by Matt Volpe)
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University of Toronto Engineering @engineering.utoronto.ca · 09/10/2025
🧠 Imagine being able to control machines by thinking. @drlaschowski.bsky.social (MIE) and his Computational Neuroscience Lab are working to make it possible. They've developed a new algorithm that could make brain decoding more accurate and efficient. Read the story: uofteng.ca/25h7c8
U of T Engineering News
Brains, minds & machines: A new algorithm for decoding intelligence [photo of Laschowski in a lab with a machine and a whiteboard with formulas]
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Andrew Lampinen @lampinen.bsky.social · 26/05/2026
We've updated the preprint of our Naturalistic Computational Cognitive Science paper (arxiv.org/abs/2502.20349) — we've tried to clarify and streamline the arguments, and added some new examples: 1/5
arxiv.org
Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior
How can cognitive science build generalizable theories that span the full scope of natural situations and behaviors? We argue that progress in Artificial Intelligence (AI) offers timely opportunities ...
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Surya Ganguli @suryaganguli.bsky.social · 27/05/2026
www.amacad.org/publication/... my new article in the American academy of arts and sciences journal Daedalus. Part of a special issue in AI+Science lead by James Manyika.
amacad.org
Toward a Science of Intelligence: Unifying Physics, Neuroscience & AI
Artificial intelligence stands poised to transform our society, yet we hardly understand how it works. A synthesis of physics, neuroscience, and AI can fulfill an urgent need: to build a new, unified ...
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Flatiron Institute @flatironinstitute.org · 21/05/2026
This week, #FlatironCCN hosted a three-day workshop that brought together researchers in theoretical #neuroscience and control theory to foster collaboration. #science
group of people stand in a room and pose for a photo
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Kempner Institute at Harvard University @kempnerinstitute.bsky.social · 18/05/2026
Thanks to Tatiana Engel (@engeltatiana.bsky.social) from @princeton.edu for a great talk on Friday! She presented modeling approaches that leverage low-dimensional structure in neural population activity to design effective stimulation patterns. Watch the talk ➡️ youtu.be/rYvZoshNUVk
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Canadian Association for Neuroscience @canacn.bsky.social · 17/05/2026
Blake Richards now : Why Artificial Intelligence needs literal synapses. - how modern AI and neuroscience research converge today
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Machine Intelligence Lab @laschowski-lab.bsky.social · 28/04/2026
Our collaborator, Dr. Sheena Josselyn, explains how memories are encoded in the brain. Could these principles inspire better memory in machine learning? Stay tuned.
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