Racial Bias in Medical Care Decision-Making Tools

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.
IEEE

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...
Edutopia

How to Differentiate Without Splitting Students Up

Turn and talk with sentence stems: Give sentence starters at multiple levels: “Multiplication is…” for some students, and ...
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 ...
Hosted on MSN

Examples of people who had a single task and failed

People who only had one job and couldn’t get it right. Fans walk out of Wizard of Oz Christmas show: 'It was atrocious' Florida’s 'forgotten' coastline offers quaint towns and fresh seafood without ...
IEEE

Collaborative Learning for Task-Oriented Semantic Communications: Overcoming Data Mismatch Between Transceivers

Abstract: Task-oriented semantic communication (ToSC) enhances efficiency and performance by leveraging task-specific data representations and end-to-end learning, which are more compact and effective ...