Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that ...

A fully booked flight used to mean turning away higher-value, last-minute bookings, resulting in lost earnings for airlines and disappointment for passengers. Not anymore. At TravelX, we have ...

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal is a solid combustible organic rock formed from the ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

Machine learning operations (MLOps) have rapidly evolved from experimental workflows to production-critical systems powering everything from fraud detection to autonomous vehicles. But as ...

Sparse early-stage data limits accurate geological risk assessment, increasing the chance of undetected hazards ahead of the TBM. By integrating borehole-derived information through an observation ...

AI uncovered 86,000 quakes under Yellowstone, exposing chaotic swarms and reshaping our understanding of the supervolcano’s activity. Credit: Shutterstock Scientists used AI to reveal tens of ...

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture. We were ...

The evolution of ecommerce has seen traditional retailers such as Walmart, Target and Best Buy embrace the marketplace model by listing products from third-party sellers, while marketplaces like ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...