In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them ...

Every day, Bridget Dunlap steps outside her Rainey Street bar hoping to feel an energy in the air that says business might finally pick up again. For the past few years, construction crews have mostly ...

Embedding graphs in continuous spaces is a key factor for automatic information extraction in diverse tasks (e.g., learning, inferring, predicting). The reliability of graph embeddings directly ...

Investigative needs differ across legal contexts, requiring distinct approaches to mobile data collection in criminal and civil cases. Overcollection of smartphone data leads to increased risk, ...

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Rory Evans While working on ...

The pace and intensity of filings show us something important: this isn’t a passing trend. It’s a structural shift in how the plaintiffs’ bar sees opportunity, and it is reshaping the risk landscape ...

Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions 2025-09-10 ...

[8th IDRC, Best Overall Conference Paper Award] GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster ...