PARyOpt 1 is a Python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. especially attractive computational due to its low cost footprint as well ability account uncertainties in data. A key challenge efficiently deploy any strategy on distributed computing systems synchronization step, where data from multiple calls assimilated...

Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of execution result a algorithm, it is crucial inform users noises used computer compiled physical circuits. However, an intuitive systematic way ma...

As the machine learning and systems communities strive to achieve higher energy efficiency through custom deep neural network (DNN) accelerators, varied precision or quantization levels, model compression techniques, there is a need for design space exploration frameworks that incorporate quantization-aware processing elements into accelerator while having accurate fast power, performance, area...

Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-based are robust to noise, but lack complex background image modeling capability; representation-based good at localization, accuracy shape contour extraction...

مسئله جبر و اختیار از مباحث دراز دامن مهمی ‌است که دیرباز اذهان انسان‌ها را به خود معطوف کرده‌است اندیشمندان در ادیان مکاتب مختلف برابر این مسئلة حیاتی مواضعی اتخاذ کرده‌اند. اصلی مقاله آن است عامری پیرامون چه دیدگاهی کرده‌است؟ فرضیه نظریة یا مطلق دفاع نمی‌کند، بلکه راه بینابین برمی‌گزیند. اهم یافته‌های عبارت‌اند : او برای پاسخ پژوهشی ابتدا تحریر محل نزاع می‌کند میان دو حیثیت شیء اعتبار ذاتش غی...