Lifeboat Foundation

Education Saturday with Curious Droid.

Far from calm and peaceful, space is a dangerous place with high levels of radiation not only from our sun but from distant supernovas. This is not only dangerous to us but also to the spacecraft themselves with is able to damage the electronics and computers that keep it running and the crew alive in it. So how do they protect the craft and crew with what looks like almost no shielding at all?

Continue reading “How do you Protect Spacecraft from the Radiation of Space?” »

A new iOS game from NASA asks players to identify the coral in 3D images of the ocean floor. Doing so will help train AI to do it automatically.

If you enjoyed this article or found it informative and wish to share it, you can do so from the following link: https://www.facebook.com/383136302314720/posts/564255487536133/

A.I. has already gotten to almost sci-fi levels of emulating brain activity, so much so that amputees can experience mind-controlled robotic arms, and neural networks might soon be a thing. That still wasn’t enough for the brains behind one ambitious startup, though.

Continue reading “Cyborg computer chips will get their brain from human neurons” »

Ahhhhhh, these people scare me, more than the Virus.

Clearview AI, which has alarmed privacy experts, hired several far-right employees, a HuffPost investigation found.

The Milky Way in the sky of Ali Prefecture, southwest China’s Tibet Autonomous Region, Sept.27, 2018. (Xinhua/Purbu Zhaxi)

The star, named LAMOST J040643.69+542347.8, has an estimated rotational velocity of 540 km per second, which is about 100 km per second faster than that of the previous record holder, HD 191423.

BEIJING, April 9 (Xinhua) — A Chinese astronomer has discovered the fastest rotating star in the Milky Way galaxy based on data from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) located in Xinglong, in northern China’s Hebei Province.

I rarely use the words transformative or breakthrough for neuroscience findings. The brain is complex, noisy, chaotic, and often unpredictable. One intriguing result under one condition may soon fail for a majority of others. What’s more, paradigm-shifting research trends often require revolutionary tools. When we’re lucky, those come once a decade.

But I can unabashedly say that the 2010s saw a boom in neuroscience breakthroughs that transformed the field and will resonate long into the upcoming decade.

In 2010, the idea that we’d be able to read minds, help paralyzed people walk again, incept memories, or have multi-layered brain atlases was near incomprehensible. Few predicted that deep learning, an AI model loosely inspired by neural processing in the brain, would gain prominence and feed back into decoding the brain. Around 2011, I asked a now-prominent AI researcher if we could automatically detect dying neurons in a microscope image using deep neural nets; we couldn’t get it to work. Today, AI is readily helping read, write, and map the brain.

https://paper.li/e-1437691924

Stelarc has suspended himself from hooks and had an ear surgically constructed on his arm. Now his Adelaide biennial work puts the audience at the helm.

We could essentially use deep learning to get to the theory of everything if we digitize all processes.

By Rajat Jain, SAP

No single technology can ever replace humans and their unique value. Yet, the addition of hyperautomation is opening a world of new possibilities for the strategic nature of the employee experience – turning highly manual, labor-intensive tasks into nearly no-touch, rules-based processes.

Continue reading “Hyperautomation: A Moonshot To Intelligent Processes” »

Is that a person or a stop sign? Intel and Georgia Tech are spearheading efforts against adversarial attacks that fool machine learning systems into making such mistakes.

Photo: Georgia Institute of Technology.