ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Spotify is testing a new AI feature that lets you create personalized playlists based on a detailed prompt and your listening ...

The new law seeks to prevent retailers from ripping off consumers by using artificial intelligence and their personal data to charge them higher prices. By Tim Balk As New Yorkers scrolled, surfed and ...

New Yorkers got a little more visibility this week into when apps like Uber and DoorDash use algorithms to set prices. The state's Algorithmic Pricing Disclosure Act took effect on Monday. Under the ...

Building owners and property managers will no longer be able to use algorithm-based software to artificially inflate New Yorkers’ rents as a result of a bill signed into law by Gov. Kathy Hochul on ...

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

The Minneapolis City Council on Thursday approved an ordinance that would prohibit landlords from employing algorithms to set rent and vacancy rates. The proposed ordinance would specifically ban the ...

Abstract: Recent advances in hardware acceleration for postquantum cryptography (PQC) have also switched to lightweight PQC. Apart from the traditional hardware design methodology, instruction-set ...

ABSTRACT: This paper presents a configurable assembler framework enhanced with reinforcement learning (RL) and MARTE (Modeling and Analysis of Real-Time and Embedded Systems) constraints to address ...

A bill to ban landlords from using services that aggregate apartment information to help them set rent prices is back again at the legislature, after failing in last year's legislative session.