We present ESP4ML, an open-source system-level design flow to build and program SoC architectures for embedded applications that require the hardware acceleration of machine learning and signal ...

A database of 450 Machine Learning (ML) system design case studies from 100+ companies. - mallahyari/ml-practical-usecases ...

A collection of useful resources for Machine Learning System Design - CathyQian/Machine-Learning-System-Design ...

Human evaluation of handwritten answer sheets is very inefficient, inaccurate, and potentially biased. This research work serves the purpose of addressing these drawbacks by developing an automated ...

Machine Learning and Deep LearningAugust 24, 2025 Design Space Exploration and Machine Learning Prediction of Hydrofluorocarbon Solubility in Ionic Liquids for Refrigerant Separation Ashfaq Iftakher M ...

The hydrogenation of carbon dioxide to produce clean fuels is one of the important means to achieve carbon neutrality, among which CO2 methanation has attracted much attention due to its thermodynamic ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real- ...

Learn how OpenAI’s Agents SDK empowers developers to create intelligent, adaptable systems for automation and dynamic problem-solving.

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...