Lifeboat Foundation

There’s a new Elon company and a new post about it in the works. In the meantime, here’s a brush-up.

As part of I BM’s annual InterConnect conference in Las Vegas, the company is announcing a new machine learning course in partnership with workspace and education provider Galvanize to familiarize students with IBM’s suite of Watson APIs. These APIs simplify the process of building tools that rely on language, speech and vision analysis.

Going by the admittedly clunky name IBM Cognitive Course, the class will spend four weeks teaching the basics of machine learning and Watson’s capabilities. Students will be able to take the class directly within IBM’s Bluemix cloud platform.

“Not everyone knows what to do with a Watson API,” says Bryson Koehler, CTO of IBM Watson & IBM Cloud. “The group of engineers that are experts is really small.”

Continue reading “Galvanize will teach students how to use IBM Watson APIs with new machine learning course” »

The group says it has a more practical way to get software to learn tasks, such as steering robots, that require multiple actions.

In the popular TV show Sherlock, visual depictions of our hero’s deductive reasoning often look like machine algorithms. And probably not by accident, given that this version of Conan Doyle’s detective processes tremendous amounts of observed data—the sort of minutiae that the average person tends to pass over or forget—more like a computer than a human.

Sherlock’s intelligence is both strength and limitation. His way of thinking is often bounded by an inability to intuitively understand social and emotional contexts. The show’s central premise is that Sherlock Holmes needs his friend John Watson to help him synthesize empirical data into human truth.

In Sherlock we see the analog for modern AI: highly performant learning machines that can achieve metacognitive results with the assistance of fully cognitive human partners. Machine intelligence does not by its nature make human intelligence obsolete. Quite the opposite, really—machines need human guidance.

Continue reading “Why the Rise of AI Makes Human Intelligence More Valuable Than Ever” »

In this video series the Galactic Public Archives takes bite sized looks at a variety of terms, technologies, and ideas that are likely to be prominent in the future.

In this entry, we take a look at the rapidly developing technology of Brain to Machine interfaces.

Continue reading “Brain to Machine Interface: Future A to Z” »

A curated list of blog posts, eBooks, reports and ecosystem experts that might be useful to founders and investors interested in the Australian tech startup ecosystem.

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A trailer for this 80s ‘movie’…

Happy Pi Day from Carnegie Mellon University! Professor of mathematical sciences Po-Shen Loh explains why Euler’s Equation is the most beautiful equation in math. The video was filmed as part of a pi and pie discussion with CMU alumna, baker and blogger Quelcy Kogel (A 2007). For more: https://youtu.be/2sC1-DXT9Oo

IBM recently announced that its speech recognition system achieved an industry record of 5.5% word error rate, coming closer to human parity. Here’s what it means for enterprises.