To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Lixplore-cli is a Python CLI tool for researchers. Search papers, filter results, and manage your library from the terminal.

Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Ray3 Modify introduces the next-generation hybrid-AI workflow for acting and performance, enabling brands and studios to guide scene evolution with greater predictability, continuity, and intent.

However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model (LMM), a patented AI system that understands real CAD data. Leo AI is a ...

Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), officially launches HOOPS AI, the first framework purpose-built to unlock AI and machine learning for CAD ...

Because no single software can meet every need or workflow, integrated ecosystems have become essential. In this interconnected landscape, architects move between AI, interoperability challenges, and ...

Companies have often responded to new technologies with process tweaks or bolt-on tools. Some companies adapted; others faltered, not for lack of innovation but because they failed to reorganize ...