AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

Abstract Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with
the aim of creating machines capable of performing any intellectual task that humans can …

The ability to quickly learn a new task with minimal instruction-known as few-shot learning-is
a central aspect of intelligent agents. Classical few-shot benchmarks make use of few-shot …

We have now entered the era of trillion parameter machine learning models trained on
billion-sized datasets scraped from the internet. The rise of these gargantuan datasets has …

Gabriel Goh: Research lead. Gabriel Goh first discovered multimodal neurons, sketched out
the project direction and paper outline, and did much of the conceptual and engineering …

The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of
human. Despite tremendous success in the AI research, most of existing methods have only …

How the brain stores a sequence in memory remains largely unknown. We investigated the
neural code underlying sequence working memory using two-photon calcium imaging to …

A generative recurrent neural network is quickly trained in an unsupervised manner to
model popular reinforcement learning environments through compressed spatio-temporal …

Despite rapid adoption and deployment of large language models (LLMs), the internal
computations of these models remain opaque and poorly understood. In this work, we seek …

Neural recording electrode technologies have contributed considerably to neuroscience by
enabling the extracellular detection of low-frequency local field potential oscillations and …