IBM’s Watson makes a move into self-driving cars with Olli, a minibus from Local Motors

“Passengers will be able to interact conversationally with Olli while traveling from point A to point B,” IBM says, “discussing topics about how the vehicle works, where they are going, and why Olli is making specific driving decisions.” Other features will be asking Olli for suggestions of restaurants to eat or local landmarks. But not driving itself.

Source: IBM’s Watson makes a move into self-driving cars with Olli, a minibus from Local Motors

Building Machines That Learn and Think Like People

We review progress in cognitive science suggesting that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn, and how they learn it. Specifically, we argue that these machines should (a) build causal models of the world that support explanation and understanding, rather than merely solving pattern recog- nition problems; (b) ground learning in intuitive theories of physics and psychology, to support and enrich the knowledge that is learned; and (c) harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations.

Source: https://arxiv.org/pdf/1604.00289v2.pdf

The Hidden Homescreen

Okay so the shift to chat interfaces is driven much more by developer needs than consumer needs. That doesn’t mean there aren’t use cases that turn out to be great for consumers. So what types of chat interfaces are actually good for the user? Asked another way: Should your service live in chat? Or, if you want to make a useful chat-based service or bot, what should you build?

Source: The Hidden Homescreen