On September 17, 2017, the first version of Unity Machine Learning Agents Toolkit (ML-Agents) was released. The mission was simple – allow g... 阅读更多
Training a performant object detection ML model on synthetic data using Unity Perception tools
Supervised machine learning (ML) has revolutionized artificial intelligence and has led to the creation of numerous innovative products. However, with supervised machine learning, there is always a need for larger and more complex datasets, and collecting these datasets is costly... 阅读更多
Supervised machine learning (ML) has revolutionized artificial intelligence and has led to the creation of numerous innovative products. However, with supervised machine learning, there is always a need for larger and more complex datasets, and collecting these datasets is costly... 阅读更多
The power of Unity in AI
Since 2018, Cross Compass has integrated Unity into the pipeline of several of its consulting services for the manufacturing field to train and validate AI algorithms saf... 阅读更多
Scaling Kubernetes Jobs for Unity Simulation
Unity Simulation enables product developers, researchers, and engineers to smoothly and efficiently run thousands of instances of parameterized Unity builds in batch in t... 阅读更多
Use Unity’s perception tools to generate and analyze synthetic data at scale to train your ML models
Synthetic data alleviates the challenge of acquiring labeled data needed to train machine learning models. In this post, the second in our blog series on synthetic data, ... 阅读更多
