Ashutosh Agarwal is a specialist who connects analytics with practical strategy, who stands out in the era of digital ...

Holistic system-technology co-optimization (STCO) approach key in reducing peak GPU and HBM temperatures under AI workloads while enhancing performance density of future GPU-based architectures Imec ...

Materials Science and Engineering, Nanjing University of Technology, Nanjing, China Injection molding is the most common method for making plastic products. However, quick molds made with ultraviolet ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...

Abstract: Optimizing Python code is essential for enhancing performance and efficiency. This project investigates the use of large pre-trained language models, specifically GPT (Generative Pre-trained ...

🛡️ Advanced BCH and LDPC error correction implementations 🔄 Dynamic bad block management ⚖️ Intelligent wear leveling algorithms The tool is highly ...

Three-dimensional (3D) printing is evolving beyond simple prototyping, unlocking new frontiers in materials engineering, mechanical design, and biomedical applications. At the heart of this ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...