This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

Update: A minibus spending package passed by the House of Representatives on January 8, 2026, effectively cancels the Mars Sample Return program by eliminating almost all funding for future missions.

Great leadership doesn’t just happen in boardrooms or business settings. From little league coaching and community initiatives to family moments and encounters with service providers, powerful ...

The amount of noise The Row’s annual sample sale generated last weekend was perhaps antithetical to the brand’s ultimate quiet luxury status. But what else could be expected? The brand’s legions of ...

Enterprise tech leaders are done chasing the promise of all-in-one platforms. Right now, the question isn’t, "How do we do more with less?" It’s, "How do we do less but better?" As budget scrutiny ...

Language models (LMs) have great capabilities as in-context learners when pretrained on vast internet text corpora, allowing them to generalize effectively from just a few task examples. However, fine ...

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently ...

The 2024 Illinois election is right around the corner, with a presidential race, Congressional seats up for grabs and numerous other initiatives on the ballot. Illinois voters can cast ballots early ...

Note: This guide was first published in October of 2024. It has been updated for the 2026 election. You might know who you want to vote for at the top of the ballot. But mid-term elections offer ...

Abstract: Video object segmentation is a challenging task in computer vision. In this task, a learning model should be able to segment and track a specific set of objects through a frame sequence.