In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield ...

Many organizations are building generative AI applications driven by large language models (LLMs), but few are transitioning successfully from prototypes to production. According to an October 2023 ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

Microsoft Corp. last week took the wraps off an initiative that it hopes will expand the use of model-driven design techniques and ease the process of developing composite applications within a ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...