A practical AI workflow for creating social video variations—using generation to explore ideas and face swap without ...

Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...

On the day before winter break, the students in Holly Funk’s kindergarten class at Smith Wade-El Elementary School watched as ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Small steps to protect student learning time can have big payoffs.

Author Filippo Marchesani shows how algorithms shape every click and equips marketers with a practical, ethical lens for understanding digital behavior. COLORADO, CO, UNITED STATES, January 2, 2026 ...

Animals caught acting like humans in hilarious ways. What made Bengaluru techie sell her home, plots and give nearly Rs 2 crore to scammers India closes visa application centre in Dhaka amid ...

This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The ...

Here’s the dystopian scene: Students nationwide can’t read or do math at basic levels and don’t know elementary science or history facts, but there’s a big program to rewire their brains, massage ...

What are the differences between lesson objectives, learning objectives and success criteria and how can we sharpen our lesson planning and pedagogical choices? Helen Webb offers some practical ...

In classrooms across the country, students are mastering their ABCs, solving equations, and diving into science. But one essential life skill–behavior–is not in the lesson plan. For too long, ...