ACRouter picks the smartest AI model per task, beating Opus-only setups by 2.6x on cost

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...
Tech Xplore

Self-driving cars: Near-miss driving data can expedite AV algorithm training

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
IEEE

Error Analysis of the Normalized Sine-Wave Histogram Test Algorithm for ADC Linearity Test

Abstract: The sine-wave histogram test (SHT) is a prevalent method for characterizing the static linearity of analog-to-digital converters (ADCs). The normalized SHT (NSHT) algorithm has gained wide ...
IEEE

Ant Colony Optimization With Deep Heuristic Information for Solving Electric Vehicle Routing Problems

Abstract: The electric vehicle routing problem (EVRP) is a complex logistical challenge that requires optimizing both route planning and charging decisions. Although ant colony optimization (ACO) has ...