Traditional deep learning is not suited to understanding dynamic systems that change regularly as a function of time, like firing neurons or flowing fluids. These patterns of activity are so complex ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...