Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...

Unpack the most common warehousing problems, their causes, and best practices and strategies for how to solve them.

Jeffrey Kohn believes creators should operate like Fortune 100 companies. “To achieve long-term predictable success in any ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

The term has left the industry divided, with definitions shaped as much by marketing as by technical consensus.

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

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JavaProb is a comprehensive repository dedicated to solving a wide range of tricky and concept-rich Java problems. Whether you're preparing for technical interviews, enhancing your problem-solving ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...