Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

Abstract: This paper discusses the design and implementation of parallel processing algorithm for big data under the framework of high performance computing (HPC). In the design of parallel processing ...

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and industry.Guides beginners and professi ...

Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Discover 15 future-proof skills that AI can't replace, from data analysis to emotional intelligence, ensuring your career stays relevant.

A newly released open-source software project is drawing global attention for demonstrating how ordinary WiFi signals can be ...

Why Passwords Are Still a Developer's Problem in 2026. The case against password-based authentication is well-established in the IAM community, but the practical implications for ...

Background Improving small and sick newborn care (SSNC) is crucial in resource-limited settings. Newborn Essential Solutions and Technologies (NEST360), a multicountry alliance, aims to reduce newborn ...

Abstract: A rise in blood sugar (glucose) levels above normal ranges is the major sign of diabetes. Diabetes develops when the body's ability to absorb glucose into cells for energy declines, ...