Coding for a cure: Sewickley Academy student’s research reveals key differences in genetic mutations

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

7 AI coding techniques that quietly make you elite

What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.
Opinion
USA HeraldOpinion

The Tower of Babel Reborn In Silicon As The Race Toward The Singularity Tests Humanity’s Limits

An ancient warning about unity, ambition, and power echoes in today’s accelerating march toward artificial superintelligence. [USA HERALD] - There was a time, according to the biblical record, when ...
Pixel Pete on MSN

Mastering Unity tile palettes and grids

Learn how to use Unity’s tile palette and grid system to build clean, efficient levels for 2D games, perfect for beginners and indie developers. #UnityDev #GameDevelopment #2DGames ...

Understandable AI paranoia has inspired a developer to change the handcrafted character art in its upcoming sim: 'They look a bit AI'

He was shiny, uncanny and weirdly smooth. There were none of the imperfections usually associated with AI art—no ...

Unity will soon let you create casual games using simple text prompts

Unity is preparing to roll out a new AI tool that can generate playable casual games from simple text prompts.
XDA Developers on MSN

I used vibe-coding to actually learn programming, and it worked better than any course

Best way to learn how to code, if done right.
IEEE

JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach

Abstract: In 2019, the JPEG Standardization Committee initiated JPEG AI to define the first image coding specifications, taking advantage of an end-to-end learning-based coding approach. The JPEG AI ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
GitHub

Unity ML-Agents Toolkit

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...