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 ...

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 ...

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 ...

In today’s world, it unfortunately takes more than a chivalrous heart to attain the Holy Grail of software development: productive development of high-quality applications. I recently spent some time ...

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 ...

The recent AI shake-up courtesy of DeepSeek’s R1 launch opened the industry’s eyes to new trends, and one that’s not as talked about as others: the race to build foundational models is sunsetting.

Aspen Technology (AZPN) “announced that it has entered into a definitive agreement to acquire Open Grid Systems Limited, a global provider of network model management technology and a pioneer in ...

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 ...

Software, particularly modern componentized, cloudified, scalable software, is complicated. We all know that, and for decades we've used simple graphic models of software to describe it (at a high ...