These steps could enable organizations to transition from linear, static models toward resilient, adaptive enterprises prepared for the decentralized phygital era.

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ...

Abstract: Shor's algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-level modular ...

European Union regulators said the app’s infinite scroll and personalized algorithm led to “compulsive” behavior, especially among children. By Adam Satariano Reporting from London TikTok’s endless ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

After a month, more than three-quarters of the users who had typically spent roughly 30 minutes per day on TikTok were now spending nearly twice that much time on the app, on average. A few months ...

In today’s hyper-competitive retail landscape, pricing decisions can make or break profitability. Gone are the days when a simple "cost-plus" model could guarantee profitability. Consumers are more ...

Abstract: In this survey, we introduce Meta-Black-Box-Optimization (MetaBBO) as an emerging avenue within the Evolutionary Computation (EC) community, which incorporates Meta-learning approaches to ...