At 250 times the resolution of most smartphone cameras, this camera will reveal facets of the cosmos as scientists have never seen them before.
Circa 2014
Physicists developed a smartphone app that can record and analyze particles from cosmic ray muons.
For years, researchers have aimed to learn more about a group of metal oxides that show promise as key materials for the next generation of lithium-ion batteries because of their mysterious ability to store significantly more energy than should be possible. An international research team, co-led by The University of Texas at Austin, has cracked the code of this scientific anomaly, knocking down a barrier to building ultra-fast battery energy storage systems.
The team found that these metal oxides possess unique ways to store energy beyond classic electrochemical storage mechanisms. The research, published in Nature Materials, found several types of metal compounds with up to three times the energy storage capability compared with materials common in today’s commercially available lithium-ion batteries.
By decoding this mystery, the researchers are helping unlock batteries with greater energy capacity. That could mean smaller, more powerful batteries able to rapidly deliver charges for everything from smartphones to electric vehicles.
Qualcomm Technologies announced Monday that it conducted the first successful extended range 5G data call over mmWave.
Range has been a key obstacle for cellphone carriers as they move to mmWave technology to take advantage of faster 5G speeds. Qualcomm’s breakthrough could speed up deployment of 5G smartphones.
Qualcomm reported that it conducted a 5G call over a 2.36 mile distance, double the distance that it had projected when it unveiled its new antenna system last year. Qualcomm worked with Casa Systems, an ultra-broadband provider, and Ericsson, the multinational telecommunications company, on the project.
Dye-sensitized solar cells used in low-light conditions could perform more consistently thanks to improved understanding of the role additives play in optimizing electrolytes.
Laptops and mobile phones, among other devices, could be charged or powered indoors, away from direct sunlight, using dye-sensitized solar cells (DSCs), which have achieved efficiencies of up to 34% at 1000 lux from a fluorescent lamp.
Copper-based electrolytes containing various combinations of additives have been used to achieve these efficiencies, with varying results to date.
The “OK, Google” wake-up phrase for Google Assistant on Android Auto has been broken for quite a while but in August, Samsung came up with an update that was the best news in a long time for its users.
Keyed locks are relatively easy to pick if you’ve spent enough time mastering the skill. But researchers at the National University of Singapore have just made it even easier. If you can use a smartphone to record a sound, you can capture all the information you need to create a working duplicate of a key.
The newfound vulnerability – although it’s more a case of modern technology compromising an outdated technology – was discovered by cyberphysical systems researcher Soundarya Ramesh and a team at the National University of Singapore. The attack, called SpiKey, works on what are known as pin tumbler locks that are opened using a key with a unique ridge pattern on its edge. As the key slides into the lock, the ridges push six metal spring-backed pins to different heights which, when all are properly aligned, allow a tumbler to turn and a lock to be opened. They’re one of the most common types of locks out there, used in everything from doors to padlocks, which makes this attack especially concerning.
To open a pin tumbler lock without the key, a locksmith (or lock pick) uses a specialised set of tools to manually adjust the height of each pin, one by one, until they figure out the unique arrangement needed for the tumbler to turn. The SpiKey technique is magnitudes easier, and requires little to no special skills, aside from the ins and outs of operating a 3D printer.
While Photoshop can do a pretty good job at removing shadows from faces, there’s a fair amount of legwork involved. One scientist has shown that neural networks and artificial intelligence can produce some very impressive results, suggesting that it will soon be a part of how we edit our photos.
Károly Zsolnai-Fehér of Two Minute Papers and the Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria, just released a video demonstrating how he has taught a neural network using large data sets to recognize and eliminate shadows from a face in a photograph. As detailed in the video, the neural network was taught by giving it photographs of faces to which shadows had been added artificially.
Given its effectiveness and the quality of the results, it seems only a matter of time before smartphones give you the option to remove shadows. In theory, you might even be able to switch on shadow removal while taking the photograph.
New apps are allowing users to record their dimensions, and recommend what size to buy at different outlets.
New apps use your phone to record your dimensions and recommend what size to buy at shops.
