Quick, predictable, and consistent activities provide a foundation to get students thinking and ready to learn.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Without ruling out challenges in 2026, Selcuk Bakir, area superintendent at Harmony Public Schools, envisions a year full of ...

A new study finds the hippocampus reorganizes memories to predict rewards. This discovery explains how the brain learns and why Alzheimer's affects decision-making.

Group projects are almost never easy. Getting all parties to agree on everything, all the time can be a challenging feat, if ...

New research challenges the century-old practice of mapping the brain based on how tissue looks under a microscope. By analyzing electrical signals from thousands of neurons in mice, scientists ...

Abstract: Multiagent meta reinforcement learning (MAMRL) enables multiagent systems (MASs) to adapt to multiple tasks. However, partial observability poses a significant challenge by hindering ...

Abstract: Current distributed processing of site landscape images suffers from uneven sample distribution and multi-task gradient conflicts, which can easily lead to poor detection performance in ...

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...