Lifeboat Foundation: Safeguarding Humanity
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Category: entertainment – Page 106

DeepMind and Blizzard open StarCraft II as an AI research environment

DeepMind’s scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.

Testing our agents in games that are not specifically designed for AI research, and where humans play well, is crucial to benchmark agent performance. That is why we, along with our partner Blizzard Entertainment, are excited to announce the release of SC2LE, a set of tools that we hope will accelerate AI research in the real-time strategy game StarCraft II. The SC2LE release includes:

4 Ways Tech Is Going To Improve And Enhance Humans

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.

exoskeleton

This facial recognition system tracks how you’re enjoying a movie

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.

Click Here for Happiness

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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