California has enacted AB 325 and SB 763, which regulate algorithmic price-fixing, lower pleading standards under the Cartwright Act, and ...

Could the deepest laws of nature ever be reduced to lines of code? A team of physicists from Canada, the United States, the ...

The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

Google’s Quantum Echoes now closes the loop: verification has become a measurable force, a resonance between consciousness and method. The many worlds seem to be bleeding together. Each observation is ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Abstract: The Willow Catkin Optimization Algorithm (WCO) is a newly proposed meta-heuristic algorithm in recent years that has a simple structure and excellent optimization searching ability, but the ...

Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a dataset. It does this by tracking the longest run of zeros in a binary ...