“For each photo, we first report the number of people (approximated by the number of faces) in the photos, and whether they are smiling or not; we then list all the objects we detect, ordered by the detection algorithm’s confidence; scenes, such as settings and properties of the entire image (e.g., indoor, outdoor, selfie, meme), will be presented at the end,” Facebook explained.
“Technology becomes commoditised. We need companies which focus on experiential products people genuinely want to use.”
The pace of development of artificial intelligence is going to get faster. And not for the typical reasons — More money, interest from megacompanies, faster computers, cheap&huge data, and so on. Now it’s about to accelerate because other fields are starting to mesh with it, letting insights from one feed into the other, and vice versa.
Lately, however, I’ve become much more interested how bots become social creatures. What does it mean to have a conversation with a computer or a bot? What does that conversation feel like and what kind of underlying relationship does it create or reflect?
Source: Our friends, the bots?
Despite the hype, there is a lot of work to be done before we can build conversational software. For now, it’s an ugly marriage of bits of AI which “kind of” work and lots of hand coding. These are some notes about what interesting conversational software would look like, and what techniques we’ll need to build it.
Behind the artificial intelligence personal assistants and concierges are actual people, reading e-mails and ordering Chipotle.
Because this wave of technology is distinguished by the ability to chat, writers for AI must focus on making the conversation feel natural. Designers for Amazon’s Alexa have built humanizing “hmms” and “ums” into her responses to questions. Apple’s Siri assistant is known for her wry jokes, as well as her ability to beatbox upon request.
Catalan financial group CaixaBank is the first company to try training the IBM Watson cognitive computing system in Spanish.
Tinker With a Neural Network Right Here in Your Browser.Don’t Worry, You Can’t Break It. We Promise.
Source: A Neural Network Playground
Amazon made several very smart decisions early in the voice platform’s life that may make it a friendlier ecosystem for device makers.