a companion piece to our ICLR 2026 Paper: Learning is Forgetting: LLM Training As Lossy Compression

How neural geometry will unlock understanding and control of AI

Foundation models in neuroscience: representational alignment versus mechanistic understanding

How AI could destroy mathematics and barely touch it

Every individual animal behaves differently, even if they have the same genome and have been raised in the same environment. This diversity in behavior challenges the notion that biological variation ...

Attached: 1 image reminder that anthropic ran (and is still running) an ENTIRE AD CAMPAIGN around "Claude code is written with claude code" and after the source was leaked that has got to be the funn...

Cortical neurons comprising an output pathway form a specialized population code that enhances the propagation of information to a downstream target, potentially improving the accuracy of decision-mak...

Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions.

Exclusive: two dossiers of material seen by the security council raise questions over export of British arms to the UAE, which has been accused of supplying weapons to paramilitary RSF group

After 500 days of siege, the Rapid Support Forces (RSF) militia have reportedly taken control of the key Sudanese city of El-Fasher in Darfur, triggering widespread fear among families, and forcing th...

At COP26, the U.S. and its rich allies refused to consider how to pay for the damage their emissions are wreaking on developing nations.

A new procurement blueprint seen by POLITICO shows Germany’s plan to become the backbone of the continent’s defense revival.

Keeping track of formalizations of theorems from the Wikipedia’s List of theorems.

Premise selection is a key bottleneck for scaling theorem proving in large formal libraries. Yet existing language-based methods often treat premises in isolation, ignoring the web of dependencies tha...

Recurrent neural networks are widely used to model brain dynamics. Tolmachev and Engel show that single-unit activation functions influence task solutions that emerge in trained networks, raising the ...

Reservoir computing is a powerful framework for real-time information processing, characterized by its high computational ability and quick learning, with applications ranging from machine learning to...

Emotional experience evokes signalling in astrocytes, which form an ensemble that is reinforced by secondary astrocytic state changes resulting from repeated experience, leading to memory stabilizatio...

YouTube video by Harvard CMSA

Han et al. show that frontal theta oscillations rhythmically control access to working memory. The theta rhythm sweeps across the mental image, shaping behavior by coordinating spikes and beta oscilla...