Lifeboat Foundation

Sometimes sensitive data, like passwords or keys that unlock encrypted communications, are accidentally left open for anybody to see. It’s happened everywhere from the Republican National Committee to Verizon, and as long as information can be public on the internet the trend isn’t going to stop.

But researchers at software infrastructure firm Pivotal have taught AI to locate this accidentally public sensitive information in a surprising way: By looking at the code as if it were a picture. Since modern artificial intelligence is arguably better than humans at identifying minute differences in images, telling the difference between a password and normal code for a computer is just like recognizing a dog from a cat.

The best way to check whether private passwords or sensitive information has been left public today is to use hand-coded rules called “regular expressions.” These rules tell a computer to find any string of characters that meets specific criteria, like length and included characters. But passwords are all different, and this method means that the security engineer has to anticipate every kind of private data they want to guard against.

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The BAIR Blog

Supernova simulations are resolving a 50-year-old mystery about stellar death throes.

A new open access paper takes a look at the potential of regenerative medicine for the treatment of Alzheimer’s disease [1]. The review covers approaches such as spurring the production of new neurons and transplanting new neurons while taking a look at the disease-modeling approaches and techniques that science is now using to refine approaches to treating Alzheimer’s.

The authors here investigate how induced pluripotent stem cells (iPSCs) are contributing to the growing knowledge in the field by allowing researchers to create increasingly refined models of Alzheimer’s disease. A current problem we have is that animal models do not emulate the disease closely enough to lead to translational therapies that work in humans; this is why so many new medicines that work in mice fail in clinical trials. The review takes a look at the challenges and how science is working to develop better models.

Introduction

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This could be used for hydrogen storage.

Of the four states of matter, gases are the hardest to pin down. Gas molecules move quickly and wildly and don’t like to be confined. When confined, heat and pressure build in the container, and it doesn’t take long before the gas blows the lid off the place, literally. Luckily, gases are superficial. Provide them with an attractive internal surface area, and they’ll pin themselves down in no time. No, it’s not love at first sight, it’s adsorption.

“Adsorption is the processes of gas pinning to the surface of another material—the inside walls of a container, for example,” says Chris Wilmer, assistant professor in Pitt’s Department of Chemical and Petroleum Engineering. “When adsorption occurs, the gas molecules stop bumping into each other, reducing pressure. So, by increasing a container’s internal surface area, we can store more gas in less space.”

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MIT engineers have developed a continuous manufacturing process that produces long strips of high-quality graphene.

The team’s results are the first demonstration of an industrial, scalable method for manufacturing high-quality graphene that is tailored for use in membranes that filter a variety of molecules, including salts, larger ions, proteins, or nanoparticles. Such membranes should be useful for desalination, biological separation, and other applications.

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China has a found a novel way to tackle its massive air pollution problem: Putting up a giant air purifier the size of an industrial smokestack in the middle of a smog-plagued city.

Instead of pumping out billows of black smoke like the chimneys rising from factories in the northern province of Shaanxi, the 60-meter (197-foot) tall structure on the outskirts of the regional capital Xian blasts clean air.

Standing between high-rises, the device is capable of cleaning between five million and 18 million cubic meters of air each day, depending on the weather, season, and level of pollution, according to a report by the Chinese website Thecover.cn.

A KAIST research team recently developed sodium ion batteries using copper sulfide anode. This finding will contribute to advancing the commercialization of sodium ion batteries (SIBs) and reducing the production cost of any electronic products with batteries.

Professor Jong Min Yuk and Emeritus Professor Jeong Yong Lee from Department of Materials Science and Engineering developed a new anode material suitable for use in an SIB. Compared to the existing anode materials, the copper sulfide anode was measured to exhibit 1.5 times better cyclability with projected 40 percent reduction in cost.

Lithium-ion batteries (Li-ion batteries or LIBs) are widely used in mobile phones and other personal electronics. However, large-scale energy storage systems require less expensive, more abundant materials. Hence, a SIBs have attracted enormous attention for their advantage over lithium-based batteries.