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#simulation

Every item tagged simulation, newest first.

6 items

toolsMay 17

Simulate real-world places with Project Genie and Street View

Google is expanding access to Project Genie, a simulation tool for real-world environments, to AI Ultra subscribers worldwide. The tool leverages Street View data to generate realistic simulations. This allows developers to create immersive experiences using real-world data. You can now integrate these simulations into your applications.

Key takeaways
  • Project Genie now available to AI Ultra subscribers globally.
  • Uses Street View data for realistic environment simulations.
  • Enables developers to create immersive experiences with real-world data.
researchMay 12

Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models

Microsoft Research introduces MatterSim, an AI framework advancing materials science through faster large-scale simulations and a new multi-task model called MatterSim-MT. MatterSim enables experimental synthesis and simulates a broader range of material properties beyond potential energy surfaces. This development can accelerate materials discovery and optimization for builders and researchers. The framework has the potential to reduce the time and cost associated with materials development.

Key takeaways
  • MatterSim enables faster large-scale simulations for materials science.
  • MatterSim-MT is a new multi-task model for simulating diverse material properties.
  • MatterSim supports experimental synthesis for accelerated materials discovery.
researchAug 27

How Google’s AI can help transform health professions education

Google Research explores applications of generative AI to improve health professions education, focusing on simulation-based learning, assessment, and feedback. The goal is to enhance learning outcomes and efficiency. Researchers are developing AI tools to support educators in creating customized learning experiences. These tools aim to help learners develop clinical skills and decision-making abilities.

Key takeaways
  • Generative AI applied to health professions education for simulation, assessment, feedback.
  • AI tools being developed to support educators in creating customized learning experiences.
  • Focus on enhancing learning outcomes, efficiency, and clinical skills development.
researchOct 15

Solving Rubik’s Cube with a robot hand

OpenAI trained neural networks to solve Rubik's Cube with a robot hand via reinforcement learning in simulation. The system, trained with Automatic Domain Randomization, handles unseen situations like being prodded by a stuffed giraffe. This demonstrates reinforcement learning's applicability to physical-world problems. You can use similar techniques for complex robotic tasks.

Key takeaways
  • Trained in simulation, not real-world testing.
  • Handles unseen situations like external prodding.
  • Reinforcement learning used for physical tasks.
researchOct 11

Competitive self-play

OpenAI researchers found that self-play enables simulated AIs to learn physical skills like tackling and catching without explicit design. Self-play adjusts difficulty to match AI skill level, facilitating improvement. This approach shows promise for developing more capable AI systems. You can apply self-play to train models in complex environments.

Key takeaways
  • Self-play enables AIs to learn physical skills without explicit design.
  • Self-play adjusts environment difficulty to AI skill level.
  • Self-play may be core to future powerful AI systems.
toolsMay 15

Roboschool

OpenAI releases Roboschool, open-source robot simulation software integrated with OpenAI Gym. This lets you build and test robotic control policies in simulation. Roboschool is designed to be extensible and customizable. You can use it to train and test AI models for robotics.

Key takeaways
  • Integrated with OpenAI Gym.
  • Extensible and customizable.
  • For robotic control policy development.