Scientists discovered a creature that breaks a fundamental rule of biology

A new study finds that at least one Archaea has surprisingly flexibility when interpreting genetic code, which goes against a ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
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, ...
News8000

G-E-T Middle School hosts 2025 STEAM Roadshow

GALESVILLE, Wis. (WKBT) -- G-E-T Middle School students engaged in hands-on learning experiences Thursday as the school ...
complianceg

E-learning Trends to Watch in 2025

Innovations and Emerging Technologies in the Regulated Environment of Pharma Effective training programs are essential for maintaining compliance, improving operational efficiency, and ensuring data ...
IEEE

Learning Rate-Compatible Linear Block Codes: An Auto-Encoder Based Approach

Abstract: Artificial intelligence (AI) provides an alternative way to design channel coding with affordable complexity. However, most existing studies can only learn codes for a given size and rate, ...
GitHub

Maximum Entropy Deep Inverse Reinforcement Learning

This repository contains the implementation of the paper "Maximum Entropy Deep Inverse Reinforcement Learning" by Wulfmeier et al. [1] in PyTorch. You will also find in the notebooks directory a ...