Investors kept pouring money into AI hardware startups in the second quarter of 2026. While companies focused on chips for AI data centers have largely dominated the funding over the past year, ...

PFAS method development must reconcile trace sensitivity with quantitative robustness despite ion suppression, coelution, and retention challenges spanning ultra-short-chain to long-chain analytes.

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

Abstract: Automatic guided vehicles (AGVs) are extensively employed in manufacturing workshops for their high degree of automation and flexibility. This paper investigates a limited AGV scheduling ...

Abstract: In the field of computer science, sorting algorithms are crucial because they facilitate the effective processing and arrangement of data in a variety of scenarios, including data analysis, ...