Artificial Intelligence (AI)

Companies and business leaders are reevaluating the skills critical to employee success and finding that power skills are vital.

Organizations both large and small are making concerted AI education efforts, a crucial goal considering how the reach of AI has recently expanded.

We explored the reasons why some universities have recently created courses that combine AI and computer science with ethics in our last post. More than ever, ensuring that artificial intelligence (AI) is fair, accountable, and transparent is critical. AI and Ethics Coursework: Analyzing the Algorithm It’s important to think out the design of an AI …

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Complex algorithms can create inadvertent bias. Universities like Stanford have created new courses that combine computer science and ethics, in an effort to prevent bias from occurring.

AI has complex repercussions as it weaves itself more and more into our society. Some universities are beginning to address AI education more thoroughly.

Siemens PLM announced that a new capability will be available in NX: an Adaptive UI. This marks the first use of machine learning in an MCAD application. Is it a big deal or not? We provide our perspective in this video.