Alegion Blog

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.

Irish Tech News, dubbed by some as Europe’s version of Tech Crunch, recently highlighted Alegion CEO Nathaniel Gates in an interview feature. Among other things, Gates noted that Alegion “know hows to consistently produce exemplary training data by overlaying our own AI or by using proprietary algorithms to guarantee quality of crowdsourced data, or by employing a combination of both.” 

Business Insider reported that Alegion CEO Nathaniel Gates was invited to speak at a prestigious Artificial Intelligence Conference in Austin. The event, "Artificial Intelligence in Austin – Innovations, Startups, and Exits," was hosted by Navidar, an investment banking firm. "AI represents a seismic shift in the way humans interact with information, resulting in efficiencies and better decisions," according to Navidar. "To shed light on the various approaches, Navidar has assembled top Austin-based AI pioneers."