How much these human-made oases help and whether they're appropriate is still up for debate. The post Water guzzlers may ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Know how to get the most out of your predictive tools. by Michael Luca, Jon Kleinberg and Sendhil Mullainathan Most managers’ jobs involve making predictions. When HR specialists decide whom to hire, ...

Indian drone companies raised $178 million in equity funding in 2025, a 45% jump over the same period in 2024, according to ...

Start by setting the counter to the middle position in the list. If the value held there is a match, the search ends. If the value at the midpoint is less than the value to be found, the list is ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

On Aug. 23, a class action lawsuit was filed alleging that some leading PVC pipe manufacturers exploited supply chain disruptions to fix prices and overcharge their customers for PVC municipal water ...

Abstract: Delaunay triangulation is an effective way to build a triangulation of a cloud of points, i.e., a partitioning of the points into simplices (triangles in 2D, tetrahedra in 3D, and so on), ...

An interesting case we experienced on the weekend with Dr Scott Harding, using lessons we have learnt from Sarah Fairley. Young Female (~30yrs), no risk factors, inferior STEMI and symptoms. Angiogram ...