
Jascha Achterberg
@achterbrain
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Neuroscience & AI @UniofOxford @Cambridge_Uni | Principles of efficient computations + learning in brains, AI, and silicon 🧠 @Gates_Cambridge scholar
Oxford, England
Joined January 2015
Two years ago, @DanAkarca & I wondered: Could the various features we observe in brains across species be caused by shared functional, structural & energetic constraints? 🧠⚡️. With our now published spatially embedded RNNs we show this is true!. 🧵below!.
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Exciting new position to join our project hosted at @imperialcollege with @DanAkarca !.
I'm hiring a @ARIA_Research funded position at @imperialcollege @ImperialEEE. Broad in scope + flexible on topics!. Exciting projects on intersection of neural networks & new AI accelerators, from a HW/SW co-design perspective. Join us 🚀:
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RT @matthewclifford: I’m excited about this: 12 month fellowship for AI engineers to work on some of the biggest challenges in government👇.
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RT @DanAkarca: Incredibly excited for the UK Neural Computation Conference 2025 @ Imperial College London, 9th - 11th July (main event 10th….
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RT @oswaldjoh: Super happy and proud to share our novel scalable RNN model - the MesaNet! . This work builds upon beautiful ideas of 𝗹𝗼𝗰𝗮𝗹𝗹….
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RT @du_yilun: Excited to share work on using classical search approaches to scale inference in diffusion models!. We show how global graph….
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RT @Luckyballa: I am weirdly obsessed with closest point query algorithms in physics, geometry and recently ML applications . On GPU you ca….
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RT @AjdDavison: All researchers should fight against this. Every week I try to persuade my students that top papers often have few quantita….
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RT @probablybots: Honored to share a major thread of my PhD research, out now in PNAS. We address a core issue with how models are used for….
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RT @MillerLabMIT: The cortical critical power law balances energy and information in an optimal fashion.#neuroscien….
pnas.org
A recent study has suggested that the stimulus responses of cortical neural populations follow a critical power law. More precisely, the power spec...
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RT @DuncanAstle: Funded PhD opportunity with @sjblakemore and I, at Cambridge. We are looking for someone interested in developmental scien….
drive.google.com
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RT @xwang_lk: 𝘏𝘶𝘮𝘢𝘯𝘴 𝘵𝘩𝘪𝘯𝘬 𝘧𝘭𝘶𝘪𝘥𝘭𝘺—𝘯𝘢𝘷𝘪𝘨𝘢𝘵𝘪𝘯𝘨 𝘢𝘣𝘴𝘵𝘳𝘢𝘤𝘵 𝘤𝘰𝘯𝘤𝘦𝘱𝘵𝘴 𝘦𝘧𝘧𝘰𝘳𝘵𝘭𝘦𝘴𝘴𝘭𝘺, 𝘧𝘳𝘦𝘦 𝘧𝘳𝘰𝘮 𝘳𝘪𝘨𝘪𝘥 𝘭𝘪𝘯𝘨𝘶𝘪𝘴𝘵𝘪𝘤 𝘣𝘰𝘶𝘯𝘥𝘢𝘳𝘪𝘦𝘴. But current reasoning….
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RT @_yixu: 🚀Let’s Think Only with Images. No language and No verbal thought.🤔 . Let’s think through a sequence of images💭, like how humans….
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RT @jbimaknee: A nice paper illustrating how far away modern AI and neuromorphic computing is from the type of learning actually seen in th….
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RT @karansdalal: I’m excited to share a project I’ve been working on for over a year, which I believe will fundamentally change our approac….
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RT @TrentonBricken: My favorite figure from our new Circuits papers -- "How does Claude do math?". Claude simultaneously does:.1. a back of….
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RT @somnirons: Looking for an exciting fellowship in neuroAI, with competitive salary (~£100k)? . Our group is hiring for a project on AI….
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RT @MillerLabMIT: Mixed recurrent connectivity in primate prefrontal cortex.#neuroscience.
journals.plos.org
Author summary The strength of the connectivity between neurons is a fundamental property of brains that allows them to store memories and perform computations. This connectivity strength can be...
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RT @BakermansJJW: Happy to share the latest version of our work on compositional cognitive maps in hippocampus, with Jo Warren, @jrcwhittin….
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RT @WTreyde: We ( are coming to SF!. Hosted by @pebble_bed, we’re organising a 2-day hackathon on 26-27 March for b….
lu.ma
The Computational Motifs Initiative is coming to San Francisco! Together with Pebblebed, we’re hosting a 2-day hackathon on 26-27 March connecting builders and…
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