Artificial Intelligence Is Still A Science Project In Most Companies

If you feel your organization is a laggard with artificial intelligence, don’t feel bad — it turns out everyone else is struggling with it too. AI may be the talk of the town these days, but it’s only just getting out of the starting gate at most companies.

The question is, will AI remain in the labs while the industry moves on to the next technology trend, or will it become the revolutionary force some are predicting? Read More

#ai-first

Autonomous Taxiing, Take-Off and Landing test flight

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#robotics #videos

Hollywood is replacing artists with AI. Its future is bleak.

It took me an embarrassingly long time to realize that the “black mirror” of the popular anthology series Black Mirror was a screen, or rather, all the screens we surround ourselves with: phones, tablets, computers, TVs, and, increasingly, futuristic devices built by massive corporations that monitor our movements and preferences and words. We buy these black mirrors, welcoming them into our homes and lives and letting them — true to their name — reflect ourselves back to us. And as we know all too well, those reflections sometimes betray our darkest impulses.

Unsettling reflections are not the black mirrors’ fault. Gadgets are merely assemblages of wires and metal and glass. Devices don’t have a point of view; they operate according to the input they receive, the algorithms and designs and patterns that power the software, written by humans and thus shaded and slanted by human biases. Read More

#vfx

The Four Components of Trusted Artificial Intelligence

Trust and transparency are at the forefront of conversations related to artificial intelligence(AI) these days. While we intuitively understand the idea of trusting AI agents, we are still trying to figure out the specific mechanics to translate trust and transparency into programmatic constructs. After all, what does trust means in the context of an AI system? Read More

#trust