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” The potential dangers to data privacy associated with AI-language models highlight the need for increased awareness and attention to the ethical implications of such systems.

the total financing of GenAI startups headquartered in London reached $232 millionmeaning the paper airplanes had a short flight distance and hit the ground as soon as they escaped the clutches of the robot arm.

Informed by this characterization we propose a method of using Gaussian mixture models to extract the clusters of the design space that map to these different behaviors.The team made the robot arm construct and fly 500 paper planes to observe the true probabilistic and stochastic nature of the flight behavior.meaning that the paper planes had a longer flight distance than those that nose-dived and glided in the air for a bit.

The design space and mapping from geometry to distance flown is highly nonlinear and probabilistic where a single airplane design exhibits a multitude of trajectory forms and flight distances.This was the result of a study by a group of engineers from the Swiss Federal Institute of Technology Lausanne (EPFL).

the design space can be characterized and explored… we demonstrate how developing these models can be used to accelerate real-world robotic optimization of a design—to identify wing shapes that fly a given distance.

See Also Paper planes aren’t just a child’s toy; we can learn a lot about aerial vehicle design by modelling & optimizing their unique & unpredictable flight behavior.The 58-page technical report that Google released about Gemini 1.

Heres howWhile Google has already moved forward with Gemini 1.rather than pure fact retrieval.

and give lengthy discussions about the contents of images.and utilizing the chips more efficiently.