A recent article in The Register explored the increasing role of humans and how they come into play when training AI.

The headline tells the story.

CIOs are increasingly recognizing the value of high-quality training data as they embrace their artificial intelligence initiatives, according to the industry experts at Gartner, Inc.

To be successful with any AI project, one must take steps to fully comprehend “what deep learning is, how it works, and what its most effective applications are.” Ignoring these steps can only doom product development as well as introduce inefficiencies in team productivity.

Machine learning (ML) enables computers to “discover patterns and relationships in data instead of being manually programmed.” This science to date is already impacting the way we live, “driving everything from Netflix recommendations to autonomous cars.” However, the more experiences that are built with ML, the more obvious it becomes that UXers are still in a learning phase when it comes to controlling the technology.

Artificial Intelligence is thriving. Cars are driving themselves. We’re talking to things in our house.  Smartphone apps can now recognize faces in photos and translate from one language to another. The possibilities seem endless.

Rarely late to the party, venture capital firms are using machine learning and artificial intelligence to sift through potential investments, and the results are impressive.

Long-time reporter Bridget Botelho recently wrote an instructive article about the importance of Machine Learning (ML) in developing predictive analytics.

While the staging of Artificial Intelligence (AI) initiatives is all the rage at enterprises and startups across the country, AI is also top of mind at two of the world’s biggest companies – Google and Amazon.

Researchers at USC’s Center for Artificial Intelligence in Society have long been applying Artificial Intelligence (AI) to protect wildlife. Now, with the help of sophisticated training data, they have applied a breakthrough technology that will make a difference.

Brigham Young University computer science professor David Wingate recently noted that as humans we know intuitively about the interplay of certain verbs and certain nouns.