In the opening day keynote of its Build 2016 conference here, Microsoft used the terms “cognitive” and “intelligence” liberally to signal a new direction for the company.
In all likelihood, artificial intelligence will produce new ways of creating wealth, while freeing humans to do other things. And advances in AI will be accompanied by advances in other areas, especially manufacturing. In the future, it will become easier, and not harder, to meet our basic needs.
Open source software freely shared with the world at large—is an old idea. A guy named Richard Stallman started preaching the gospel in the early ’80s, though he called it free software. Linus Torvalds started work on Linux, the enormously successful open source operating system, in 1991, and today, it drives our daily lives—literally. The Android operating system that runs Google phones and the iOS operating system that runs the Apple iPhone are based on Linux. When you open a phone app like Twitter or Facebook and pull down all those tweets and status updates, you’re tapping into massive computer data centers filled with hundreds of Linux machines. Linux is the foundation of the Internet.
I recently had an interesting conversation with someone who argued against the viability of artificial intelligence startups, given the tremendous budgets and development resources large tech companies like IBM are committing to develop broader platforms — the premise being that these platforms will fill each niche application startups try to carve out (think scheduling meetings or answering common customer services requests).
I’d like to argue against this notion.
In 2014, frog predicted that drones, augmented reality, and self-driving cars would be big in 2015 — so you know the firm is on to something.
Here’s a look at what’s coming next.
I’ve been laser-focused on machine intelligence in the past few years. I’ve talked to hundreds of entrepreneurs, researchers and investors about helping machines make us smarter.
In defending his company against assertions that Uber drivers should be classified as employees, Uber CEO Travis Kalanick often wields the algorithm. Uber isn’t a boss, he argues. It’s a software platform that balances supply and demand to connect entrepreneurs with customers.
A new academic paper pokes holes in that argument.
Artificial intelligence sits at the extreme end of machine learning, which sees people create software that can learn about the world. Google has been one of the biggest corporate sponsors of AI, and has invested heavily in it for videos, speech, translation and, recently, search.
Machine learning and artificial intelligence got a lot of love on Google’s Q3 earnings call.
During CEO Sundar Pichai’s prepared remarks, he went out of his way to point out that investments in machine learning and artificial intelligence were a continued priority for the company moving forward.
Pichai even went as far as to say that Google was “re-thinking” all of its products to include more AI and machine learning.
We live in a golden age of algorithms. Even though we’ve had search engines, speech recognition, and computer vision systems for decades, only in the last several years have they become good enough to move out of the lab and into tools we use everyday — products like Google Now, Siri, and Cortana.