The longest common subsequence (LCS) problem, a long‐standing challenge in computer science and bioinformatics, seeks to identify the maximum sequence of characters shared by multiple strings while ...

Attorneys at Haynes Boone survey recent litigation, agency activity, and legislative trends shaping antitrust risk for users ...

On October 6, 2025, California Governor Gavin Newsom signed AB325, a law targeting the use and distribution of certain algorithmic pricing tools. This law is part of a larger legislative trend to try ...

The Department of Justice and Federal Trade Commission filed a statement of interest in a case alleging Atlantic City hotels colluded on prices through their use of a common algorithm. The Department ...

Suppliers and sellers doing business in California that rely on pricing algorithms or shared pricing tools should review price-setting processes in light of a significant update to California’s state ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...

This new technical paper titled “Symmetric Cryptography on RISC-V: Performance Evaluation of Standardized Algorithms” was published by researchers at Intel, North Arizona University and Google, with ...