Lifeboat Foundation

An international team of scientists has defied nature to make diamonds in minutes in a laboratory at room temperature—a process that normally requires billions of years, huge amounts of pressure and super-hot temperatures.

The team, led by The Australian National University (ANU) and RMIT University, made two types of diamonds: the kind found on an engagement ring and another type of diamond called Lonsdaleite, which is found in nature at the site of meteorite impacts such as Canyon Diablo in the US.

One of the lead researchers, ANU Professor Jodie Bradby, said their breakthrough shows that Superman may have had a similar trick up his sleeve when he crushed coal into diamond, without using his heat ray.

Machine-learning system GPT-3 has drawn plaudits from around the world for its remarkable ability to generate text with minimal human input. One scientist even believes it is showing signs of consciousness dailystar.

The gang behind the Ragnar Locker ransomware posted an ad on Facebook in an attempt to publicly shame a victim so it would pay a ransom. Security experts say the innovative tactic is indicative of things to come.

See Also: Palo Alto Networks Ignite 20: Discover the Future of Cybersecurity, Today

Earlier this week, the cyber gang hacked into a random company’s Facebook advertising account and then used it to buy an ad containing a press release stating Ragnar Locker had breached the Italian liquor company Campari and demanded it pay the ransom or see its data released. The security firm Emsisoft provided an image of the ad to Information Security Media Group.

His “Spacesuit Lunar Toilet” can fit snugly into a spacesuit and beat almost 900 other entries worldwide.

Zyson Kang, 9, beat some 900 other children with his ‘Spacesuit Lunar Toilet’ invention to win NASA’s Lunar Loo Challenge.

You’ve probably heard us say this countless times: GPT-3, the gargantuan AI that spews uncannily human-like language, is a marvel. It’s also largely a mirage. You can tell with a simple trick: Ask it the color of sheep, and it will suggest “black” as often as “white”—reflecting the phrase “black sheep” in our vernacular.

That’s the problem with language models: because they’re only trained on text, they lack common sense. Now researchers from the University of North Carolina, Chapel Hill, have designed a new technique to change that. They call it “vokenization,” and it gives language models like GPT-3 the ability to “see.”

It’s not the first time people have sought to combine language models with computer vision. This is actually a rapidly growing area of AI research. The idea is that both types of AI have different strengths. Language models like GPT-3 are trained through unsupervised learning, which requires no manual data labeling, making them easy to scale. Image models like object recognition systems, by contrast, learn more directly from reality. In other words, their understanding doesn’t rely on the kind of abstraction of the world that text provides. They can “see” from pictures of sheep that they are in fact white.

A five-storey building in China has been relocated using an innovative system of robotic legs.

By estimating how much time you need.

https://bit.ly/3jwJDYs from Neurozo Innovation

How can we tell whether an idea is truly impossible (so one should not fake it and had better give it up as soon as possible) or just very hard to achieve? In this article, we answer the question on the basis of “time”…

Continue reading “Fake It or Drop It? Answering the Question” »

While it may not immediately sound like a dramatic feat, it could open up completely new possibilities in the field of neurological research.

“This is a problem that everyone dreams of solving,” Dr. Sinefeld said, referring to the difficulty in successfully examining thick brain tissue, especially through adult fish scales.

Dr. David Sinefeld (Credit: Jerusalem College of Technology)

#BreastCancerAwarenessMonth
Breast cancer treatments are always evolving and improving. In 2019, fresh perspectives to approach cancer therapy led to exciting breakthroughs for treatments in research.

Today’s treatments are more targeted and capable of altering the breast cancer disease course while also maintaining your quality of life. In recent years, many therapeutic options have emerged for treating stage 4, or metastatic breast cancer, greatly improving survival rates.

Breast cancer treatment research is ongoing and always improving the lives of those living with the condition. Here are the breakthrough treatments of 2019 as well as current treatments and information on finding a cure.