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title:NASA needs you to send them pictures of clouds.

 Although the study doesnt account for other AI uses.the cost involved with deploying the technology will decrease.

they saw if AI adoption is economically attractive.implementing these elaborate AI models has a high cost.it would still take decades for it to become economical for most firms to use computer vision.

 An economically grounded estimate of task automation is a good indicator of what the future for roles will look like since.The cost of deploying the computer vision is much higher than the money they would save.

 We find that only 23% of worker compensation exposed to AI computer vision would be cost-effective for firms to automate because of the large upfront costs of AI systems.

 When people think of jobs being replaced by AI.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 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.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.