머신 러닝

다음을 구독: 머신 러닝

ML-Agents v2.0 release: Now supports training complex cooperative behaviors

+4 5월 5, 20215

About one year ago, we announced the release of the ML-Agents v1.0 Unity package, which was verified for the 2020.2 Editor release. Today, we’re delighted to announce the v2.0 release of the ML-Agents Unity package, currently on track to be verified for the 2021.2 Editor release.... 더 읽기

About one year ago, we announced the release of the ML-Agents v1.0 Unity package, which was verified for the 2020.2 Editor release. Today, we’re delighted to announce the v2.0 release of the ML-Agents Unity package, currently on track to be verified for the 2021.2 Editor release.... 더 읽기

Supercharge your computer vision models with synthetic datasets built by Unity

+1 4월 19, 20216

Is your limited dataset holding back the performance of your computer vision model? Using the power of the Unity Computer Vision Perception Package, Unity can unlock the ... 더 읽기

On-Demand QA Testing with Unity Automated QA

4월 16, 20218

Games are incredibly challenging to test. Game developers build games from components, yet the player interacts with a visual and dynamic world that is much more interest... 더 읽기

Boosting computer vision performance with synthetic data

+2 4월 9, 20214

You need a lot of data to train a computer vision model to effectively interpret its surroundings, which can strain resources. Read this guest post to discover how Neural... 더 읽기

Happy holidays from the Unity ML-Agents team!

+1 12월 28, 20202

On behalf of the Unity ML-Agents team, we want to wish everyone and their loved ones a happy holiday and new year!  As we close out 2020, we... 더 읽기

Automate your playtesting: Create Virtual Players for Game Simulation

12월 11, 20201

It’s easy to automate playtesting by creating a Virtual Player (a game-playing agent), then using Game Simulation to run automated playtests... 더 읽기

Real-time style transfer in Unity using deep neural networks

+2 11월 25, 20209

Deep Learning is now powering numerous AI technologies in daily life, and convolutional neural networks (CNNs) can apply complex treatments ... 더 읽기

How Eidos-Montréal created Grid Sensors to improve observations for training agents

+2 11월 20, 20202

Within Eidos Labs, several projects use machine learning. The Automated Game Testing project tackles the problem of testing the functionalit... 더 읽기

Robotics simulation in Unity is as easy as 1, 2, 3!

+5 11월 19, 20207

Robot development workflows rely on simulation for testing and training, and we want to show you how roboticists can use Unity for robotics ... 더 읽기

Metric Validation을 이용한 게임 밸런스 최적화

11월 13, 20205

지난 해에 개발자들은 Unity Game Simulation을 활용해 클라우드에서 여러 게임플레이를 동시에 실행하여 보다 균형감 있는 게임을 개발했습니다. 이제 유니티는 현재 개발 단계에 있는 최적화 기능 중 하나인 Metric Validation을 ... 더 읽기

2020 AI@Unity interns shoutout

+6 11월 11, 2020

Each summer, interns join AI@Unity to develop highly impactful technology that forwards our mission to empower Unity developers with Artific... 더 읽기

Unity Perception 툴을 사용하여 합성 데이터로 오브젝트 감지 ML 모델 성능 강화

+11 9월 17, 20204

인공지능 분야를 크게 발전시킨 지도형 머신러닝(ML)은 수많은 혁신적인 제품을 만들어 냈습니다. 그러나 지도형 머신러닝은 수집에 비용이 많이 드는 크고 복잡한 데이터세트가 필요합니다. 또한 레이블 품질을 보장하고, 훈련 데이터가 프로덕션 데이터를 대표... 더 읽기

AI 분야에 Unity 활용하기

+1 7월 24, 2020

2018년부터 Cross Compass는 제조 현장의 컨설팅 서비스 파이프라인 일부에 Unity를 통합하여 AI 알고리즘을 안전하게 훈련하고 검증한 다음 배포해 왔습니다. Cross Compass가 어떻게 게임 분야 기술을 사용하여 제조와 같이 고도로... 더 읽기