With over a decade of experience architecting and operating large-scale cloud environments across AWS, Azure, and Google ...

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science Earlier this year we ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Liu, Z.S. and Li, Q. (2025) Reform and Innovation of Practice-Oriented Education Models in Engineering Management Programs under the New Engineering Paradigm: A Case Study of Jiangxi Normal University ...

Leveraging large language model (LLM) technology and implementing enterprise-specific chat systems and generative AI can significantly accelerate engineering processes within an organization. These ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data ...

"Learning is one of the most personal things that people do; engineering provides problem-solving methods to enable learning at scale. How do we resolve this paradox?" —Ellen Wagner Learning ...