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 using deep reinforcement ...

Step by step tutorial on how to build a giant LEGO candy vending machine using standard LEGO bricks. The video shows the complete build process including the dispenser system and internal mechanism.

McTernan reaffirmed a positive outlook on Unity Software after the company's third-quarter results exceeded expectations. The analyst said the strong performance reinforced confidence in Unity's ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

TOLONO, Ill. (WCIA) — Growing up in the Illini Prairie Conference means knowing just how much a rivalry like Unity and St. Joseph-Ogden means. “It’s a lot for us players just playing against them our ...

Serve up sweet style! 🍦 In this Minecraft tutorial, I’ll show you how to build a cute ice cream machine using iron blocks, trapdoors, item frames, and optional redstone for dispenser action. Perfect ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Unity ML-Agents Toolkit (latest release) (all releases) The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for ...

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...

Machine learning, and more generally, artificial intelligence, has achieved dramatic success over the past decade. This has been apparent in the tackling of notoriously challenging problems such as ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...