Research Category
Artificial Intelligence
Architectures, training paradigms, and capabilities of modern machine-learning systems.
Papers in this category
Attention Is All You Need
2017 · NeurIPSVaswani et al.
Introduced the Transformer, replacing recurrence with self-attention and reshaping modern AI.
Deep Residual Learning for Image Recognition
2015 · CVPRHe, Zhang, Ren, Sun
Residual connections enabled training of very deep networks, winning ImageNet 2015.
Mastering the Game of Go with Deep Neural Networks and Tree Search
2016 · NatureSilver et al.
AlphaGo combined deep networks and Monte Carlo tree search to defeat world-class Go players.
Browse other categories
Artificial General Intelligence
Theoretical foundations and empirical progress toward systems with broad cognitive competence.
Open
AI Safety & Alignment
Specification, robustness, interpretability, and governance of advanced AI systems.
Open
Cognitive Neuroscience
How the brain encodes perception, memory, prediction, and decision-making.
Open
Neurotechnology
Brain-computer interfaces, neural decoding, and devices that read or modulate the nervous system.
Open
Neurodivergence
Cognitive variation, atypical processing styles, and the neurobiology of difference.
Open
Human Intelligence
Psychometrics, learning, expertise, and the cognitive architecture of human thought.
Open