‘Periodic table’ for AI methods aims to drive innovation

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, is the process of choosing the algorithmic method best aligned to the specific task an AI system needs to perform. Scientists have developed a unified view … More ‘Periodic table’ for AI methods aims to drive innovation

Freezing a Memory in a Neural Network

The brain must store and process continuous data to survive, from navigating a forest to keeping your eyes still. However, theoretical models of such continuous memories in neural networks have to date typically required fine-tuning. In a recent paper published in PRX Life, and featured on the journal cover, Prof. Tankut Can and his co-authors … More Freezing a Memory in a Neural Network

AI reveals unexpected new physics in dusty plasma

Emory physicists have teamed up to use a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The journal PNAS published the findings by experimental and theoretical physicists at Emory University, based on a neural network model and data from laboratory experiments on dusty plasma — ionized gas containing suspended dust … More AI reveals unexpected new physics in dusty plasma