DeepMind recently open-sourced a software system called Lab2D. Lab2D is designed to support the creation of 2D environments for artificial intelligence and machine learning research.
The...
Reinforcement learning (RL) is a significant area of machine learning, with the potential to solve a lot of real world problems in various fields, like game...
Allen Institute for AI open-sources AllenAct, a modular and flexible learning framework designed to focus on the unique requirements of Embodied-AI research. Allen Institute...
DeepMind has recently released Acme, a library with an objective to simplify the development of reinforcement learning algorithms and agent building blocks. This application can be run...
In June, researchers at MIT and Brown University revealed their latest creation: Northstar. The system uses artificial intelligence (AI) and machine learning to allow...
Machine learning fundamentally involves learning from the data and making conclusions/decisions about a given problem. It utilizes the following popular approaches.
Supervised learning: In supervised...
Reinforcement Learning is a machine learning framework that enables an agent to evaluate the current environment, take optimal action, and get feedback from the...
Reinforcement learning is a specialized area of artificial intelligence where an algorithm applies independent and goal-oriented learning, based on rewards received from an environment....
First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For BeginnersImage Segmentation...
We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were significant ups...
Computer-based machine learning is becoming a significant part of citizen science projects. If we compared the situation ten years ago, the data scientists did...
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