For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

The world today is marked by paradox. Never before has humanity possessed such extraordinary scientific knowledge, ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Abstract: Critical thinking skills are essential for students in the 21st century. Through this skill, a person can solve problems systematically to reach rational and logical conclusions. Critical ...

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...

Abstract: The capacitated electric vehicle routing problem (CEVRP) requires a set of shortest delivery routes for capacitated electric vehicles from a depot to multiple customer locations. In this ...

Pre-med students in a Biology course measure urban air quality in collaboration with citizen-scientists from the local community; students in a 300-level Business seminar design improvements to a ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Challenge-based learning is a form of collaborative and project-based learning in which students band together to help solve a local or national problem in a way that furthers their learning.