Lifeboat Foundation

GitHub CEO predicts that automation will bring an end to traditional software programming GitHub, also referred to as the “Facebook for programmers”, is a.

Watch it here: https://www.youtube.com/watch?v=10dFgrjdfqY

I posed a wide array of questions for inventor, futurist, and Singularitarian Dr. Ray Kurzweil on September 21, 2018, at RAAD Fest 2018 in San Diego, California. Topics discussed include advances in robotics and the potential for household robots, artificial intelligence and overcoming the pitfalls of AI bias, the importance of philosophy, culture, and politics in ensuring that humankind realizes the best possible future, how emerging technologies can protect privacy and verify the truthfulness of information being analyzed by algorithms, as well as insights that can assist in the attainment of longevity and the preservation of good health – including a brief foray into how Ray Kurzweil overcame his Type 2 Diabetes.

Amidst these complex security challenges and the sea of unknowns coming our way, what remains fundamental for the safety and security of the human race is the role of programmers and programming along with the integrity of semiconductor chips. The reason behind this is programmers can define and determine the nature of AWS (at least in the beginning) until AI begins to program itself.

Weaponized artificial intelligence is almost here. As algorithms begin to change warfare, the rise of autonomous weapons systems is becoming a terrifying reality.

These dated interfaces are not equipped to handle today’s exponential rise in data, which has been ushered in by the rapid dematerialization of many physical products into computers and software.

Breakthroughs in perceptual and cognitive computing, especially machine learning algorithms, are enabling technology to process vast volumes of data, and in doing so, they are dramatically amplifying our brain’s abilities. Yet even with these powerful technologies that at times make us feel superhuman, the interfaces are still crippled with poor ergonomics.

Many interfaces are still designed around the concept that human interaction with technology is secondary, not instantaneous. This means that any time someone uses technology, they are inevitably multitasking, because they must simultaneously perform a task and operate the technology.

Continue reading “Making Superhumans Through Radical Inclusion and Cognitive Ergonomics” »

One small amoeba found a solution to the traveling salesman problem faster than our best algorithms. What does it know that we don’t?

The stunning success of AlphaZero, a deep-learning algorithm, heralds a new age of insight — one that, for humans, may not last long.

Facial recognition is going mainstream. The technology is increasingly used by law-enforcement agencies and in schools, casinos and retail stores, spurring privacy concerns. In this episode of Moving Upstream, WSJ’s Jason Bellini tests out the technology at an elementary school in Seattle and visits a company that claims its algorithm can identify potential terrorists by their facial features alone.

According to a straightforward interpretation of general relativity, the Big Bang wasn’t the start of ‘everything’.

Taking Einstein’s famous equations at face value and making as few assumptions as possible, a team of researchers has rewound the clock on our Universe to find it wouldn’t lead to a stopping point at all, but would take us through a different kind of beginning into a flipped space.

To understand what all the fuss over the Big Bang is, we need to rewind a bit to understand why physicists think it may not have been the start of everything.

Continue reading “Mind-Bending Study Suggests Time Did Actually Exist Before The Big Bang” »

Companies use different algorithms based on different sets of data. Most of that data comes from people of recent European ancestry.

The problem, obviously, is that a lot of people don’t have grandparents or great-great-great-grandparents from England or Italy or Denmark. Most people on Earth, actually! That means if you’re from, say, Asia or Africa, you might not get as detailed a profile as you’d like.

My mother, who was born in the Philippines, actually got an update from 23andMe with new information about her heritage. Her history didn’t change. But as the company gets more DNA kits from people of Asian descent, the algorithm churns out modified results. Which is great … but that does mean right now, if you’re not white, you might have to wait a bit longer for more accurate results.