Smart Banner Hub Launches StrokeSense — Handwriting to Stroke-by-Stroke Animated Video With Auto Colors

The first platform using DBSCAN-based point reconstruction to capture authentic handwriting and replay it as smooth, color-coded animated video. Handwriting is procedural — it’s not just what you ...
Frontiers

Are S.M.A.R.T goals really smart? The psychological effects of goal-setting in a learning task

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 ...
GitHub

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...
IEEE

Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization

Abstract: Federated learning (FL) is a promising paradigm that can enable collaborative model training between vehicles while protecting data privacy, thereby significantly improving the performance ...
IEEE

Competitive Multitasking Sampling With Deep Reinforcement Learning for Surrogate-Assisted Constrained Multiobjective Optimization

Abstract: When solving expensive constrained multiobjective optimization problems by surrogate-assisted evolutionary algorithms, the evolutionary sampling method is utilized to select valuable ...