Lifeboat Foundation

Human beings have always wanted to improve themselves, it’s an intrinsic human drive. We’ve come to a point in time where technology allows us to do just that and in the very near future we’re going to see dramatic changes in what it means to be a human being. So, let’s take a look at the likely advancements we all soon maybe upgrading to.

Exo-skeletons:

1984 was the year that introduced The Terminator to the world as a cold, ruthless killing machine, but only part-machine. The cybernetic organism was described in the movie as “living tissue over a metal endoskeleton.” It was a fictional concept back then, but in the 2020’s, it might not be fiction, but reality.

Continue reading “4 Ways Tech Is Going To Improve And Enhance Humans” »

This piece of tape can store 80.000 movies.

Intelligent Machines

Machine-learning algorithm watches dance dance revolution, then creates dances of its own.

A machine learns to choreograph by studying a famous 1990s music video game.

Continue reading “The first machine to study the Dance Dance Revolution video game now choreographs its own dances” »

We’re not going to stop taking pictures and recording movies, and we need to develop new ways to save them.

• By Luis Ceze, Karin Strauss, The Conversation US on July 29, 2017

As moviemaking becomes as much a science as an art, the moviemakers need ever-better ways to gauge audience reactions. Did they enjoy it? How much… exactly? At minute 42? A system from Caltech and Disney Research uses a facial expression tracking neural network to learn and predict how members of the audience react, perhaps setting the stage for a new generation of Nielsen ratings.

The research project, just presented at IEEE’s Computer Vision and Pattern Recognition conference in Hawaii, demonstrates a new method by which facial expressions in a theater can be reliably and relatively simply tracked in real time.

It uses what’s called a factorized variational autoencoder — the math of it I am not even going to try to explain, but it’s better than existing methods at capturing the essence of complex things like faces in motion.

Continue reading “This facial recognition system tracks how you’re enjoying a movie” »

A computer scientist uses a machine-learning program to predict who will die next on ‘Game of Thrones.’

Earlier Work

Wernquist early short film “Wanderers” explored many of the same themes about humanities nature to explore and experance, built around beautiful images of space and the cosmos and narration built around an expert from Carl Sagan ‘s “Pale Blue Dot.”

Wernquist described the film as:

Continue reading “A Beautiful Vision of What’s Beyond – The Work of Erik Wernquist” »

Technology can be wonderful. But how do you keep track of yourself when technology allows you to be everywhere at once?

In this film Prof. Yair Amichai-Hamburger (director of the Research Center for Internet Psychology at the Sammy Ofer School of Communications) argues that even though technology allows us to reach out and connect more easily than ever before, if we don’t ever take a step back, we can lose track of our humanity in the process.

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A Kiwi company developing artificial intelligence has delivered its latest digital human, called Rachel.

Rachel can see, hear and respond to you.

She is an avatar created by two-time Oscar winner Mark Sagar, who worked on the blockbuster movie of the same name.

Continue reading “Kiwi startup Soul Machines reveals latest artificial intelligence creation, Rachel” »