Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

AI's ability to monitor a warfighter’s mental state, visuals or inner dialog may outpace the ability to shield that data from ...

The integration of Alice & Bob’s quantum emulators — ”virtual versions” of the company’s hardware — with Horizon Quantum’s compiler is expected to ...

What if you could transform your coding routine into a seamless, hyper-efficient process that practically runs itself? Alex Finn explains how Boris Churnney, the mastermind behind Claude Code, has ...

Abstract: AI-driven algorithmic systems are increasingly adopted across various sectors, yet the lack of transparency can raise accountability concerns about claimed privacy protection measures. While ...

The main outcome was the first LTOT episode in the algorithm development (2016-2018) and validation (2019-2021) periods. A Medicaid claims-based LTOT algorithm served as the reference standard, ...

This repository contains my complete solutions to the legendary Karan's Mega Project List — a curated collection of programming challenges designed to improve coding skills across multiple domains.

We conducted a retrospective study using claims data from three Japanese institutions, including two designated cancer care hospitals (DCCHs), between April 2016 and August 2022. An algorithm that ...