Senior research scientist at @LosAlamosNatLab. Former prof at @ucl and @UTAustin. CogSci, AI, Comp Neuro, AI for scientific discovery Also @profdata on Bluesky

London, UK
Joined September 2014
Bradley Love retweeted
Every time you experience something new, your brain faces a decision: Should it update an existing memory or create a new one? In our new paper in @JNeurosci, we isolate that exact decision, moment-by-moment during learning. 🧵
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Researchers are using LLMs to analyze the literature, brainstorm hypotheses, build models and interact with complex datasets. Hear from Martin Schrimpf @martin_schrimpf, Kim Stachenfeld @neuro_kim, Jeremy Magland, Bradley Love and others. thetransmitter.org/machine-l…
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🧵🎉 Our mega-paper is finally published in TMLR! We're "Getting Aligned on Representational Alignment" - the degree to which internal representations of different (biological & artificial) information processing systems agree. 🧠🤖🔬🔍 #CognitiveScience #Neuroscience #AI
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What futures could, and should, we create with advanced AI? Today we are announcing two possible paths – Tool AI and d/acc – with contributors like @VitalikButerin @owocki @AdamMarblestone and @AnthonyNAguirre
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🧠 We speak with Prof. Bradley Love about BrainGPT—an AI model helping researchers process neuroscientific data faster than ever. 🔍 How does BrainGPT work? 🚀 Where is AI taking brain research next? 🎧touchneurology.com/podcast/b… @ProfData
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Bradley Love retweeted
Last year, we funded 250 authors and other contributors to attend #ICLR2024 in Vienna as part of this program. If you or your organization want to directly support contributors this year, please get in touch! Hope to see you in Singapore at #ICLR2025!
ICLR@iclr_conf21 Jan 2025
Financial Assistance applications are now open! If you face financial barriers to attending ICLR 2025, we encourage you to apply. The program offers prepay and reimbursement options. Applications are due March 2nd with decisions announced March 9th. iclr.cc/Conferences/2025/Fin…
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🚨Call for Papers🚨 The Re-Align Workshop is coming back to #ICLR2025 Our CfP is finally up! Come share your representational alignment work at our interdisciplinary workshop at @iclr_conf representational-alignment.g…
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Vision Weekend US Speaker announcement post: Vision Weekend US, @foresightinst's annual festival, gathers ideas and individuals shaping frontier tech progress for positive futures. In addition to the conference, there's an unconference, office hours, mentorship sessions, tech demos, art exhibits, cyberfuture dinners, tea ceremonies, and aftershow parties. Dates: December 6–8, 2024 Location: Across iconic Bay Area locations, such as The Institute, Internet Archive, Future House and Lighthaven Event page: foresight.org/vw2024us Explore Paths to Progress across biotechnology, nanotechnology, neurotechnology, AI, and space with thought leaders across fields: 🧬Paths to Progress in Longevity Biotechnology Jennifer Garrison, Buck: Healthy Longevity for Women Mark Hamalainen, LBF: Technical Paths to Radical Life Extension Jamie Justice, XPrize: The Path to Breakthrough Longevity Jean Hebert, Albert Einstein Medical School: The Path to Replacing Aging Sonia Arrison, 100 Plus Capital: The Path to Funding Longevity 🔬Paths to Progress in Molecular Nanotechnology Philip Moriarty, U. of Nottingham: Atoms & AI: Taking the Pain out of Probes Will Shih, Harvard University: The Path to DNA Origami Lulu Qian, Caltech: DNA Neural Networks and Molecular Robots Neil Gershenfield, MIT: Replicator Roadmap 🧠Paths to Progress in Neurotechnology Bradley Love, UCL: Leveraging AI for Neuroscience Research Catalin Mitelut, NYU: Neuroscience for Agents Behavior Konrad Kording, University of Pennsylvania: C.Elegans Emulation Mary Lou Jepsen, OpenWater: The Hand-held Hospital Sumner Norman, Forest Neurotech: TBA Andrew Payne, E11: The Path to Scalable Brain Circuit Mapping 👾Paths to Progress in Cryptography, Security, AGI Zac Hatfield-Dodds, Anthropic: Anthropic’s RSP Brendan McCord, Cosmos Institute: Human Autonomy in the Age of AI Evan Miyazono, Atlas Computing: Scalable oversight of narrow AI with specifications and simulations 🚀Paths to Progress in Energy and Space Edwin Kite, University of Chicago: Keeping Mars Warm with Nanoparticles Casey Handmer, Terraform Industries: The Path to Mars Creon Levit, Planet Labs: The Path to Removing Space Debris 🌄Paths to Progress in Existential Hope Antoine Herlin, Centolla: The Path to a Positive AI Future in 2045 Christine Peterson, Foresight Institute: Keeping the Future on Track Danielle Strachman, 1517: Unleashing Revolutionaries Jason Crawford, Roots of Progress: The Techno Humanist Manifesto 💸Funding the Paths Adam Marblestone, Convergent Research: Finding and Funding Scientific Moonshots via FRO’s Ben Reinhardt, Speculative Technologies: Turning Science Fiction into Reality Karl Pfleger, Agingbiotechinfo: TBA Tom Kalil, Renaissance Philanthropy: Building a Coalition of the Willing @edwinkite @CJHandmer @creon @lifeext @DStrachman @jasoncrawford @AdamMarblestone @Ben_Reinhardt @KarlPfleger @tkalil2050 @MarkHamalainen @jenngarrison @j_n_justice @Replacing_Aging @soniaarrison @ProfData @CatalinMitelut @koerding @mljmljmlj @SumnerLN @emiyazono @mbrendan1
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Akilles Rechardt (University College London; supervised by Bradley Love) has been selected as the winner of the 2025 Experimental Psychology Society / British Science Association Undergraduate Project Prize. Congratulations Akilles! eps.ac.uk/2025-eps-bsa-under…
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Demystifying unsupervised learning: how it helps and hurts Opinion by Franziska Bröker (@FranziskaBroker), Lori L. Holt, Brett D. Roads (@BDRoads), Peter Dayan, & Bradley C. Love (@ProfData) Free access before 11/19: authors.elsevier.com/a/1js9E…
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Bradley Love retweeted
Thrilled to announce that I will be joining CiNet (Center for Information and Neural Networks; cinet.jp/english/) in Osaka Japan to start my lab in April/May 2025! We have postdoc positions (1 open NOW) & PhD apps (Osaka U) possible. Details below & pls retweet! Short 🧵 1/
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Explore Paths to Progress with leading researchers, builders, and funders in Nanotech, Biotech, Neurotech, AI, Space, and Funding X at Vision Weekend USA December 6-8. @allisondman @foresightinst Tom Kalil @RenPhil21 Neil Gershenfeld @MIT @AdamMarblestone @Convergent_FROs @Replacing_Aging- Albert Einstein Medical School @mljmljmlj Openwater @jasoncrawford- @rootsofprogress @jenngarrison @BuckInstitute @lifeext@foresightinst @soniaarrison 100 Plus Capital @Ben_Reinhardt @spec__tech @CJHandmer @ARGleave @FARAIResearch @MarkHamalainen @LBF_org @creon @planet Will Shih @Harvard @KordingLab Lulu Quian @Caltech @LoganTCollins @WUSTL @SruthiSivakuma6 @RetroBio_ @ProfData @ucl @mbrendan1 @Cosmos_Inst @gilbeaq @zeno_power @AntoineHerlin - Centolla @j_n_justice @xprize @daveey @platypus_ai Don’t miss out on Vision Weekend US! Grab your tickets here: bit.ly/4ezsVVi Check out the full program: bit.ly/4eiK0mD
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Our guest, Ryan Peyton from @Microsoft, is introducing @ProfData, our next keynote speaker, who will delve into BrainGPT and his work on streamlining neuroscience literature search/prediction.
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The Dimensions of dimensionality Review by Brett D. Roads (@BDRoads) & Bradley C. Love (@ProfData) tinyurl.com/5n8t626c
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@ProfData from University College London will discuss 'The Path to Leveraging AI for Neuroscience Research.'
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Really excited to share that I'm hiring for a Research Scientist position in our team! If you're interested in the kind of cognitively-oriented work we've been doing on learning & generalization, data properties, representations, LMs, or agents, please check it out!
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Bradley Love retweeted
Presenting #CCN2024 POSTER on Thurs & TALK on Fri on behalf of @ken_lxl. B107 Inevitability and superfluousness of cell types in spatial cognition. @ProfData If interested: postdoc on category learning/vision/memory/deep nets in OSAKA (cinet.jp/english/), talk to me!
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Bradley Love retweeted
Dr. Bradley Love (@ProfData) is transforming neuroscience research with AI. He's the creator of BrainGPT, a large language model that can predict the results of neuroscience studies—before they’re conducted. And it performs better than human experts. We spent 90 minutes exploring how AI is reshaping scientific research and our understanding of the brain. Bradley argues that as scientific knowledge grows exponentially, we need new tools to make sense of it all. BrainGPT isn't just summarizing existing research—it's predicting future discoveries. We get into: • How BrainGPT outperforms neuroscience professors • Why clean scientific explanations may be a thing of the past • The challenges of interpreting complex biological systems • How AI could change the way we approach scientific research • The limitations of our intuitive understanding of the brain This is a must-watch for anyone interested in the future of science, AI, and how we understand the human mind. Watch below! Timestamps: Introduction: 00:01:00 The motivations behind building a LLM that can predict the future: 00:01:58 How studying the brain can solve the AI revolution’s energy problem: 00:11:14 Dr. Love and his team have developed a new way to prompt AI: 00:13:32 Dan’s take on how AI is changing science: 00:18:27 Why clean scientific explanations are a thing of the past: 00:22:54 How our understanding of explanations will evolve: 00:29:49 Why Dr. Love thinks the way we do scientific research is flawed: 00:37:31 Why humans are drawn to simple explanations: 00:40:42 How Dr. Love would rebuild the field of science: 00:45:03
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📢ERC-funded PhD at UCL📢 How does learning about the world's statistical structure optimise perception for future learning? If you're interested in this perception-learning cycle, & enjoy developing both theories & methods, apply! Pls repost/ask me qus🙏 tinyurl.com/bde3ektx
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