Mark Zuckerberg's quote, "Ideas dont come out fully formed, they only become clearer as you work on them. You just have to ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

Abstract: The multidimensional nature of the information encoded in magnetoencephalography data demands for decision-making tools based on graph topology. In this context, possible sources of ...

In unpredictable times, how can we stay calm, grounded, and on course? This hour, TED speakers lead us through uncertainty. Guests include former medical clown Matt Wilson, psychologist Jamil Zaki, ...

A near-100-year-old debate between the theoretical physicists Albert Einstein and Niels Bohr has finally been settled—and not in the former’s favor. A team of physicists in China have realized a ...

Across centuries, better instruments drove discovery; now, simultaneous quantum measurements reach unprecedented precision. Leaked emails about removal of Black WW2 soldier memorials spark backlash ...

Scientists in China have performed an experiment first proposed by Albert Einstein almost a century ago when he sought to disprove the quantum mechanical principle of complementarity put forth by ...

We like the predictable, and we want solid ground to stand on, but life is ambiguous and often unforeseeable. We don’t know what will happen from one day to the next. I had a friend who worried about ...

This repository contains a refactoring of the code used in the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025). The code is designed to be modular and easy to use, allowing ...

Abstract: Graph neural networks (GNNs) excel in graph representation learning by integrating graph structure and node features. Existing GNNs, unfortunately, fail to account for the uncertainty of ...