Self-driving electric taxi fleets could make transportation more efficient and sustainable, but only if vehicles can ...

Driverless electric taxis could become smarter at handling unpredictable demand, thanks to a new approach for managing ...

A Chalmers University modelling study combined Bayesian forecasts with transparent optimisation to coordinate large self-driving electric taxi fleets under uncertain demand, traffic and charging ...

Researchers at Sweden's Chalmers University have developed an optimisation method to more efficiently guide autonomous electric taxis through urban traffic.

A study of 93 maize genotypes reported generally favorable genomic prediction performance from Bayesian models under optimal ...

Before now, determining when sequentially updated quantum beliefs remain consistent lacked a clear mathematical criterion.

A new method for self-driving taxi fleet optimisation could ensure the technology increases transport efficiency and ...

Date: 2026/10/20Survey period: 2026/10/19 06:21 – 2026/10/20 06:21 (JST)Today's report prioritizes information where concrete ...

There were 1,755 new papers on arXiv today, even when counting only the main fields for the latest 24-hour period. From those ...

This simulation study evaluates BAD-EWMA, a Bayesian adaptive distance-based exponentially weighted moving-average chart for joint monitoring of lognormal location and dispersion. A fixed ...

Self-driving electric taxi fleets could make transportation more efficient and sustainable, but only if vehicles can continuously make smart decisions ...

Trace the evolution of artificial intelligence from early mechanical inventions to ChatGPT, generative AI and autonomous ...