This article was written by Shivon Zilis and James Cham. Almost a year ago, we published our now-annual landscape of machine intelligence companies, and goodness have we seen a lot of activity since then. This year's landscape has a third more companies than our first one did two years ago, and it feels even more futile to try to be comprehensive, since this just scratches the surface of all of the activity out there. As has been the case for the last couple of years, our fund still obsesses over "problem first" machine intelligence--we've invested in 35 machine intelligence companies solving 35 meaningful problems in areas from security to recruiting to software development. At the same time, the hype around machine intelligence methods continues to grow: the words "deep learning" now equally represent a series of meaningful breakthroughs (wonderful) but also a hyped phrase like "big data" (not so good!).
In an interview last year at the Canadian Undergraduate Conference on AI, Zilis said she has spent several years focusing on "AI unfolding in the world in the best way possible." Introduced as a project director in the office of the CEO at Neuralink, she explained that Neuralink is working to solve brain and spine problems in the short term.
Machine learning and artificial intelligence have the ability to transform everything from transportation to medicine, but the industry has a long way to go to get to that point. Bloomberg Beta Partner Shivon Zilis and Allen Institute for Artificial Intelligence CEO Oren Etzioni talked AI, robotics, machine learning, voice integration, online privacy and other futuristic topics at the GeekWire Summit 2016. The very agreeable pair concurred that AI and machine learning are showing up in a lot of applications and industries already, but the development of those concepts is in only the first inning of a nine inning game. Concern over job losses, and of course the fear over a great robot uprising is persists. But AI, Zilis and Etzioni said, has the potential to make people's lives better and even save lives.
The field of artificial intelligence is red hot thanks in part to big companies like Google, Facebook, and Microsoft using AI-related techniques to train computers to recognize objects in photos and understand human language. But these companies were only able to train their computers to perform these difficult feats because they have the enormous quantities of data that's required. Companies that want to use artificial intelligence techniques like machine learning algorithms to improve their businesses will need to either have or acquire copious amounts of data, which will only become more valuable as the field of AI advances. "Data is the new oil," Shivon Zilis, a partner with the venture capital firm Bloomberg Beta, said about data's increasing value. Although companies like Google (goog), Facebook (fb), and Amazon (amzn) have open sourced their own artificial intelligence software so any programmer can access the code and use it to build their own apps, they are not making the necessary data available, Zilis explained.
OutKick founder Clay Travis discusses Elon Musk's first planned town hall with Twitter employees and his recent venture into politics. The world's richest man, Elon Musk, has been fruitful and has multiplied. The tech icon has 10 children with three women -- including twins born last year. Musk, 51, and a top executive at one of his companies, Shivon Zilis, welcomed the two new members of his brood in November in Austin, Texas, Insider revealed. The news site reported that, In April, Musk and Zilis, 36, filed a petition to give the twins their father's last name and their mother's last name as part of their middle name.