Artificial Intelligence, Machine Intelligence, and Machine Learning are hot buzzwords today and they are, sometimes used interchangeably.
The perception that they are the same often leads to some confusion. But, under the covers, they are different. ML and MI do not get as much attention as AI, yet they are the underlying enablers of it. As they evolve, the differences will become more obvious and this webinar will unpack not only AI but MI and ML as well.
This presentation takes a look at these platforms, what they are, and how they differ. Their infusion into platforms such as ChapGPT, social media, industry, and societal segments change the landscape as significantly as the splitting of the atom.
To give the attendee an unbiased understanding of the AI/MI/ML and the deep learning landscape. This is a semi-deep dive into the elements of AI, what they are, how they differ, and what components make it up. The key takeaway is to understand what it is, and what it is not.
To give the attendee an unbiased understanding of the AI/MI/ML and the deep learning landscape. This is a semi-deep dive into the elements of AI, what they are, how they differ, and what components make it up. The key takeaway is to understand what it is, and what it is not.
Ernest Worthman
Ernest Worthman is an analyst and SME in several segments of high technology and the VP of content and Technology for AGL Information and Technology, LLC.He is also a nationally and internationally published technical editor/writer for wireless, semiconductor, cybersecurity, and other industries and regularly speaks at industry events.As well, he is a guest lecturer at Colorado State University’s College of Electrical Engineering.Ernest has over 25 years of experience in high-tech print and online publishing. He has held several editorial positions across several high-tech publications including Semiconductor Engineering’s cybersecurity and Internet of Everything/Everyone (IoX) channels, Editor of RF Design, Editorial Director …
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