is the Verge’s weekend editor. He has over 18 years of experience, including 10 years as managing editor at Engadget. While there is plenty of criticism to be hurled at what music the algorithm serves ...

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 ...

Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...

Data company RealPage is confronted with state and local efforts to ban its algorithmic pricing system for landlords in the rental-apartment market. Now, a provision buried in House Republicans’ mega ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...

The looming challenges of quantum computing have prompted the Java Platform to implement two advanced cryptographic solutions in its upcoming release, Java 24, slated for March 2025. Quantum computers ...

Abstract: Load balancing with stale information is becoming an increasingly important problem for distributed systems. And k-subset algorithm is promising to address this problem. In this paper, the ...

Gone are the days of receiving a mail-order catalog and circling the items you wished to buy with a bright red Sharpie. Even scrolling through a retailer's website to see what’s in stock seems ...

ABSTRACT: In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset.