Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Arcadis helps clients navigate this landscape so they can benefit from these powerful tools in focused, practical ways ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Even with highly extensive training, the human brain is not really capable of performing two tasks simultaneously. Moreover, even the smallest deviations from trained routines can have a significant ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

Leeron is a New York-based writer who specializes in covering technology for small and mid-sized businesses. Her work has been featured in publications including Bankrate, Quartz, the Village Voice, ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

Abstract: Existing constrained multiobjective evolutionary algorithms (CMOEAs) frequently employ the information provided by the unconstrained Pareto front (UPF) to facilitate the identification of ...