Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...
The latest study in Engineering reveals a groundbreaking approach to greener ethylene manufacturing using a novel physically consistent machine ...
In 2025, as consumer patience with bias evaporates, equitable personalization is emerging as the most untapped growth ...
Algorithms that identify influential people in social networks can help maximize the reach of messages, but a modeling study ...
Babak Hodjat, Chief AI Officer leads AI Research Labs, a team of developers and researchers that is advancing the state of ...
A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
Human-centric innovations, like virtual and augmented reality (VR/AR), IoT-driven adaptive systems, and genetic algorithms ...
Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...
In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
Abstract: Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming ...
ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...
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