Learning football from video games now a legit teaching method for coaches, athletes

"The games have gotten to be so detailed that it's correct," said former linebacker David Pollack, who has used video games ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Visual Studio Magazine

C# Grabs Language of the Year, TIOBE Predicts TypeScript Rise

C# was named TIOBE’s Programming Language of the Year, while the index also pointed to a potential rise for TypeScript.
Visual Studio Magazine

Microsoft: Devs Are Choosing Immersive Learning as AI and Modern .NET Accelerate

Strong holiday viewership of advanced VSLive! Orlando sessions points to growing demand for immersive, hands-on training as ...
IEEE

CLCoSum: Curriculum Learning-Based Code Summarization for Code Language Models

Abstract: The code summarization task aims to automatically generate natural language descriptions for code snippets. Recently, pre-trained code language models (CLMs) have demonstrated outstanding ...
GitHub

Temporal Difference Learning for Model Predictive Control

TD-MPC is a framework for model predictive control (MPC) using a Task-Oriented Latent Dynamics (TOLD) model and a terminal value function learned jointly by temporal difference (TD) learning. TD-MPC ...
GitHub

An Open-Source Framework for Prompt-learning.

Use the implementations of current prompt-learning approaches.* We have implemented various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard ...
IEEE

Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models

Abstract: This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, ...