From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Rebecca Qian is the Co-Founder and CTO of Patronus AI, with nearly a decade of experience building production machine ...

This paper presents a novel multivariate regression and optimal artificial neural network (ANN) model that is capable of precisely predicting construction project completion duration time. To achieve ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Abstract: Due to the lack of design depth of the general contract project, the cost estimate cannot be accurately estimated, and the cost estimate will directly affect each stage of the subsequent ...

Machine learning (ML) is a subset of AI where a system learns patterns from data and makes decisions without being explicitly programmed for each outcome. In software development, this technology ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...