Lifeboat Foundation

VICE.

What do a frying pan, an LED light, and the most cutting edge camouflage in the world have in common? Well, that largely depends on who you ask. Most people would struggle to find the link, but for University of Michigan chemical engineers Sharon Glotzer and Michael Engel, there is a substantial connection, indeed one that has flipped the world of materials science on its head since its discovery over 30 years ago.

The magic ingredient common to all three items is the quasiperiodic crystal, the “impossible” atomic arrangement discovered by Dan Shechtman in 1982. Basically, a quasicrystal is a crystalline structure that breaks the periodicity (meaning it has translational symmetry, or the ability to shift the crystal one unit cell without changing the pattern) of a normal crystal for an ordered, yet aperiodic arrangement. This means that quasicrystalline patterns will fill all available space, but in such a way that the pattern of its atomic arrangement never repeats. Glotzer and Engel recently managed to simulate the most complex quasicrystal ever, a discovery which may revolutionize the field of crystallography by blowing open the door for a whole host of applications that were previously inconceivable outside of science-fiction, like making yourself invisible or shape-shifting robots.

Continue reading “Quasicrystals Are Nature’s Impossible Matter” »

Rice University’s Early Bird could care less about the worm; it’s looking for megatons of greenhouse gas emissions.

Early Bird is an energy-efficient method for training deep neural networks (DNNs), the form of artificial intelligence (AI) behind self-driving cars, intelligent assistants, facial recognition and dozens more high-tech applications.

Researchers from Rice and Texas A&M University unveiled Early Bird April 29 in a spotlight paper at ICLR 2020, the International Conference on Learning Representations. A study by lead authors Haoran You and Chaojian Li of Rice’s Efficient and Intelligent Computing (EIC) Lab showed Early Bird could use 10.7 times less energy to train a DNN to the same level of accuracy or better than typical training. EIC Lab director Yingyan Lin led the research along with Rice’s Richard Baraniuk and Texas A&M’s Zhangyang Wang.

NASA has conducted an experiment in Antarctica, which has revealed new evidence that a parallel universe exists, except the rules of physics, are the opposite of ours.

Physicists have been debating among one another since 1952 of the possibility of a multiverse, whereby many universes exist parallel to ours. These universes could have different laws of physics, or even be similar to ours — just with different timelines.

The original theory was proposed by Quantum science pioneer Erwin Schrodinger, and even he admitted that he might have seemed a little crazy when he hosted that lecture. But now a new discovery has pushed scientists to reconsider if his theory is really as far-fetched as they thought it was. A cosmic ray detection experiment in Antarctica found a particle that very well may be from another universe.

Eight years ago a machine learning algorithm learned to identify a cat —and it stunned the world. A few years later AI could accurately translate languages and take down world champion Go players. Now, machine learning has begun to excel at complex multiplayer video games like Starcraft and Dota 2 and subtle games like poker. AI, it would appear, is improving fast.

But how fast is fast, and what’s driving the pace? While better computer chips are key, AI research organization OpenAI thinks we should measure the pace of improvement of the actual machine learning algorithms too.

In a blog post and paper —authored by OpenAI’s Danny Hernandez and Tom Brown and published on the arXiv, an open repository for pre-print (or not-yet-peer-reviewed) studies—the researchers say they’ve begun tracking a new measure for machine learning efficiency (that is, doing more with less). Using this measure, they show AI has been getting more efficient at a wicked pace.

SCOTLAND, UNITED KINGDOM – Following a 932-mile journey by river, sea and road, the first of three super grid transformers was delivered by Siemens to the onshore substation at New Deer in North East Scotland for the Moray East offshore windfarm development.

The transformer was moved from the port at Peterhead, Scotland to the substation site by a 230-foot long 20 Axle 350Te Girder Frame transporter with a police escort, due to its size and weight.

Each of the three transformers is around 40 feet in length and weighing in at 270 tonnes.

The spacecraft engine that will help take humans to Mars may be based on a University of Michigan prototype.

| Denver, CO Patch

Expect to hear gunshot testing in downtown Denver Wednesday evening.

Research of landmine detection using terahertz technology.

Scientific. Net, the trademark of Trans Tech Publications Ltd., is one of the largest web resources, publishes peer-reviewed academic journals and book series in field of materials science and engineering.

Equinor among latest round of investors in MIT spin-off that aims to help show ‘net energy gain’ nuclear fusion by 2025.