Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily.

Your weekly round-up of the questions asked by readers of CIO, Computerworld, CSO, InfoWorld, and Network World finds us ...

It’s time to tell your kids to become plumbers: although AI might not be coming for their pipes, it's certainly coming for ...

To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop and execute cutting-edge AI and BI solutions. Drive data science projects, using sophisticated ...

Abstract: The development of predictive models for rare diseases using machine learning is an important area of research with the potential to improve healthcare outcomes. Rare diseases are often ...

Docling uses state-of-the-art models for layout analysis and table structure recognition to transform unstructured documents ...

Santa Clara, California – Consumer technology is transforming with AI-enabled devices poised to dominate by 2028. According to Dell, nearly 98% of PCs will be AI-enabled by that year. Similarly, IDC ...

Practity is transforming spreadsheet learning through real-world practice. Practity, the go-to destination for hands-on learning in Python and Excel, has announced the official launch of its newest ...

Learn how to become a data engineer with expert tips on tools, methodologies, and strategies to navigate the challenges of ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...