Creating AI solution engines

Creating AI solution engines

We are interested in DeepMind, the UK artificial intelligence (AI) company with the stated mission to "push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how."

There is an active debate occurring on many levels regarding the role and practical impact that AI technology will play in our economy and society. DeepMind's founders believe AI will be a powerful tool to address some of the worlds most challenging problems, including environmental and public health challenges -- a "multiplier for human ingenuity."

The company's early efforts to develop programs that can teach themselves have shown great promise in tests involving the ability to learn and play games. One program taught itself to play 49 different video games (Atari), using just using raw pixels for input. More recently, its AlphaGo program learned what is considered to be the world's most complex game and beat the 18-time world champion. Its success with the Go-playing AI program earned the company a Wired Audi Innovation Award in 2016.

On a more practical level, Deepmind is working with Google to reduce data center energy footprints, and with the UK's National Health Service on improving care conditions. The company also publishes its work, and invites you to review its collection of over 100 peer-reviewed papers.

From the reading list: A history of the GDP, the world's dominant economic indicator

From the reading list: A history of the GDP, the world's dominant economic indicator

Technology adoption and the force of cultural norms

Technology adoption and the force of cultural norms