Humanizing Computer Learning

Brenden Lake has developed a new AI approach that allows computers to generalize the learning process by employing techniques from cognitive psychology. The result – a computer that can learn about Continue reading “Humanizing Computer Learning”

Good Decisions/ Bad Outcomes

Shane Parrish at Farnam Street offers that organizations frequently don’t differentiate adequately between decisions and outcomes. In many cases, good management decisions may nonetheless have bad outcomes due to unforeseeable events. And even more dangerously Continue reading “Good Decisions/ Bad Outcomes”

History and Future of AI

I recently stumbled across this article that traces the history of Artificial Intelligence, from the first paper using the term and describing its goals in 1958 to today. Along the way, I also found Continue reading “History and Future of AI”

Proactive or Reactive

Are you proactive or reactive? Many times it seems like the difference doesn’t matter. Today I was in the audiologist’s office, and the staff had two reactive situations. First they ran out of Continue reading “Proactive or Reactive”

Rubik’s AI

An AI algorithm has taught itself how to solve Rubik’s Cube. Sort of. By building an algorithm that approximates how close the current cube configuration is to the solution, the AI was able to craft its own reward system and outperform most human methods of solving the cube. Why it may be important – Continue reading “Rubik’s AI”