Tiny AI-trained robots demonstrate remarkable soccer skills
A team of AI specialists at Google's DeepMind has used machine learning to teach tiny robots to play soccer. They describe the process for developing the robots in Science Robotics.
A team of AI specialists at Google's DeepMind has used machine learning to teach tiny robots to play soccer. They describe the process for developing the robots in Science Robotics.
An international team of scientists has found a way to improve battery design that could produce safer, more powerful lithium batteries.
Apr 16, 2024
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High-quality, defect-free, and perfectly dimensioned metal components. Quantum computing power looks set to optimize production processes in the metalworking industry.
Apr 11, 2024
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The energy demands of today's ubiquitous small electronic devices—including sensors, data transmitters, medical implants and 'wearable' consumer products such as Fitbits—can no longer be met by chemical batteries alone. ...
Apr 18, 2024
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Imagine a vast volume of porous sandstone reservoir, once full of oil and natural gas, now full of a different carbon-free fuel—hydrogen. Scientists at Sandia National Laboratories are using computer simulations and laboratory ...
Apr 9, 2024
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Oxide ion conductors used in solid-state fuel cells often fail to reach full potential when operating at temperatures below 500 oC, but researchers from Tokyo Tech have recently found a solution to this problem. They demonstrated ...
Apr 10, 2024
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Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.
Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.
Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.
This text uses material from Wikipedia, licensed under CC BY-SA