AI publication at Nature and Science

24.06 - Detecting hallucinations in large language models using semantic entropy
24.06 - Language is primarily a tool for communication rather than thought
24.06 - Multimodal fusion for anticipating human decision performance
24.06 - A virtual rodent predicts the structure of neural activity across behaviors
19.12,ICLR 2020 - Deep neuroethology of a virtual rodent
24.06 - Experiment-free exoskeleton assistance via learning in simulation
24.06 - A Multimodal Generative AI Copilot for Human Pathology
24.05 - Temporal multiplexing of perception and memory codes in IT cortex
24.05 - A vision chip with complementary pathways for open-world sensing
24.05 - Accurate structure prediction of biomolecular interactions with AlphaFold 3
24.05 - ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding
23.08 - Scientific discovery in the age of artificial intelligence
23.08 - Champion-level drone racing using deep reinforcement learning
23.08 - Scientific discovery in the age of artificial intelligence
23.07 - Accurate medium-range global weather forecasting with 3D neural networks
23.07 - Heat-assisted detection and ranging
23.05 - Algorithm for optimized mRNA design improves stability and immunogenicity
22.01 - Deep physical neural networks trained with backpropagation
21.07 - Highly accurate protein structure prediction with AlphaFold
20.09 - Illuminating the dark spaces of healthcare with ambient intelligence
19.09 - Deep learning for multi-year ENSO forecasts
19.07 - Towards artificial general intelligence with hybrid Tianjic chip architecture
19.03 - Supervised learning with quantum-enhanced feature spaces
18.07 - Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks
17.05 - Locally noisy autonomous agents improve global human coordination in network experiments
17.01 - Dermatologist-level classification of skin cancer with deep neural networks
16.10 - Hybrid computing using a neural network with dynamic external memory
16.05 - Machine-learning-assisted materials discovery using failed experiments
16.04 - Natural speech reveals the semantic maps that tile human cerebral cortex
16.01 - Mastering the game of Go with deep neural networks and tree search
15.05 - Robots that can adapt like animals
15.05 - Probabilistic machine learning and artificial intelligence
15.05 - Deep learning
15.02 - Human-level control through deep reinforcement learning

24.02 - Grounded language acquisition through the eyes and ears of a single child
23.11 - Prediction-powered inference
22.07 - Scaffolding protein functional sites using deep learning
19.07 - Superhuman AI for multiplayer poker
19.05 - Neural population control via deep image synthesis
19.02 - Using neuroscience to develop artificial intelligence
18.12 - A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
18.09 - A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns
17.03 - DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
15.12 - Human-level concept learning through probabilistic program induction
15.07 - Machine learning: Trends, perspectives, and prospects
15.07 - Advances in natural language processing
14.06 - Clustering by fast search and find of density peaks
06.07 - Reducing the Dimensionality of Data with Neural Networks