Why you’re paying more for Uber and food delivery

For years, gig-economy executives have wielded the blunt instrument of surge pricing to manage their workforce ...
Opinion

Surge pricing is broken – but there’s a smarter way to match gig workers with consumers

Millions of Americans tap their smartphone screens daily to order rides, groceries or dinner, hooked on the seamless convenience of the gig economy. Yet beneath this frictionless interface lies a ...
Aerospace Manufacturing and Design

IMTS 2026 Conference: Bounded AI: Governance Architecture for Factory-Floor Intelligence

Until manufacturers can answer that question without hesitation, AI adoption on the factory floor will remain slowed by ...
IEEE

EMO-TS: An Enhanced Multi-Objective Optimization Algorithm for Energy-Efficient Task Scheduling in Cloud Data Centers

Abstract: The rapid expansion of cloud data centers, driven by the increasing demand for diverse user services, has escalated energy consumption and greenhouse gas emissions, posed severe ...
Medscape

The ‘Autonomy Paradox’: When Patient Self-Scheduling Collides With the Front Lines of Acute Care

Many health systems are giving patients the power to schedule appointments and procedures. What happens when that autonomy ...

AI continues to change how hospitals in central Ohio care for patients

Ohio State medical student Brent Henderson's day begins with a virtual patient powered by artificial intelligence, which is a ...
BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

User Scheduling Algorithm Based on Parallel Monte Carlo Policy Gradient Sampling in Downlink Massive MIMO Communication Systems

Abstract: As a pivotal technology for 5G and future mobile communication systems, massive multiple-input multiple-output (MIMO) has demonstrated the potential to substantially enhance spectral ...