If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
At CES 2018, Samsung is showing off its vision for the modern home and workplace through its Samsung City exhibit. While its booth mainly focuses on how its devices are connected through a new approach, Samsung is actually pushing for consumers to see the unlimited potential of its Bixby digital assistant, which it intends to roll out to a wide range of its products this year.
Pulling together deep learning workshops for a large number of students, however, can be a time consuming, error prone, and costly exercise. Furthermore, technical issues with the environment setup and compatibility problems during the workshops impede learning and cause student dissatisfaction. These workshops typically have participants bring their laptops and have them download and install new software. However, with the wide range of laptop platforms (Windows, Mac, Linux), numerous configurations, and version conflicts with existing software, workshops can become frustrating both for presenters and attendees. The RAM and disk space available on laptops and their lack of GPUs affect the types of hands-on labs that can be offered, as deep learning workshops benefit heavily from specialized hardware such as GPUs.
Karl Freund is an HPC and AI analyst at Moor Insights. In this video from the NVIDIA booth at SC17, Karl Freund from Moor Insights presents: How AI is Reshaping HPC. "Researchers have begun putting Machine Learning to work solving problems that do not lend themselves well to traditional numerical analysis, or that require unaffordable computational capacity. This talk with discuss three primary approaches being used today, and will share some case studies that show significant promise of lower latency, improved accuracy, and lower cost." Karl Freund has spent his career leading organizations in the server and semiconductor industries, working at HPE, IBM, CRAY, SGI, Calxeda, and AMD.