Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while boosting reasoning accuracy.

SiS talks to Lorenzo Servadei, Head of AI for Chip Design, Sony AI. SIS: How do you see AI-powered EDA redefining the chip ...

Abstract: This paper presents a multi-objective optimization approach for a fractional-order control system for electric-magnetic suspension (EMS) type magnetic levitation (maglev) models, aiming to ...

Abstract: To address the challenge of collaborative optimization between surface shape accuracy and stiffness of large aperture space mirrors for optical remote sensors, a multiobjective optimization ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Mass, heat and power integration between chemical processes ...

Implementation of hypernetwork augmented Actor-Critic in multi-objective reinforcement learning for MsC Thesis: "Generalizing Pareto optimal policies in multi-objective reinforcement learning" ...

HBI0101, an academically sourced CAR T-cell therapy, demonstrated a high objective response rate and manageable safety in patients with relapsed/refractory multiple myeloma. Treatment with the ...

This repository contains Evolutionary Algorithms that can be used for multi-objective optimization. Interactive optimization is supported. Methods such as RVEA and NSGA-III can be found here.