The technology, developed by Carbon Nexus PhD student Maxime Maghe and Carbon Nexus General Manager Steve Atkiss, has the potential to reduce the energy used in carbon fibre production by 75 per cent and reduces the production process time from around 80 minutes to under 15 minutes.
In addition, the specialised carbon fibre production machinery required is expected to cost around 50 per cent less than current equipment.
Source: Future of carbon fibre is here : Deakin Invenio
Floating solar farms are becoming increasingly popular around the world because their unique design addresses multiple efficiency and city planning issues. These floating apparatuses free up land in more populated areas and also reduce water evaporation. The cooler air at the surface also helps to minimize the risk of solar cell performance atrophy, which is often related to long-term exposure to warmer temperatures.
Source: The world’s largest floating solar power plant just went online in China
Iceland’s decision to harness the heat inside the earth in a process known as geothermal energy dates back to the 1970s and the oil crisis.
But the new geothermal well is expected to generate far more energy, as the extreme heat and pressure at that depth makes the water take the form of a “supercritical” fluid, which is neither gas nor liquid.
Source: Iceland drills 4.7 km down into volcano to tap clean energy
Each telescope will point at Sagittarius A*, the supermassive black hole at the centre of the Milky Way, and measure every radio wave coming from its direction. Linking together observatories spread across such a huge area and combining their observations to filter out extra light will effectively create a powerful “virtual telescope” almost the size of Earth.
Source: Earth-sized telescope set to snap first picture of a black hole | New Scientist
As other telescopes are added to the network in coming decades, observations of the black holes will become even more precise, and should provide fundamental insights into the workings of our universe.
If mathematics is a medium for human flourishing, it stands to reason that everyone should have a chance to participate in it. But in his talk Su identified what he views as structural barriers in the mathematical community that dictate who gets the opportunity to succeed in the field — from the requirements attached to graduate school admissions to implicit assumptions about who looks the part of a budding mathematician.
Source: Math and the Best Life — an Interview With Francis Su | Quanta Magazine
In the area of supercomputing, Japan’s aim is to use ultra-fast calculations to accelerate advances in artificial intelligence (AI), such as “deep learning” technology that works off algorithms which mimic the human brain’s neural pathways, to help computers perform new tasks and analyze scores of data.
Source: Japan plans supercomputer to leap into technology future
Every year six freshly minted PhDs vie for every academic post. Nowadays verification (the replication of other people’s results) does little to advance a researcher’s career. And without verification, dubious findings live on to mislead.
Source: Why Most Published Science Studies Are Wrong
GE and Deepwater Wind, a developer of offshore turbines, are installing five massive wind turbines in the middle of the Atlantic Ocean. They will make up the first offshore wind farm in North America, called the Block Island Wind Farm.
Over the past several weeks, the teams have worked to install the turbines 30 miles off the coast of Rhode Island, and are expected to finish by the end of August 2016. The farm will be fully operational by November 2016.
Source: GE is building America’s first offshore wind farm with turbines twice as tall as the Statue of Liberty
An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They’re also used in machine learning for ‘feature extraction’, a technique for determining the most important portions of an image. In this context the process is referred to more generally as “convolution” (see: convolutional neural networks.)
Source: Image Kernels explained visually
The reliance on static underground features is LGPR’s advantage as a complement to other localization methods, even in fair weather conditions. The use of a subsurface map reduces the need for continual modifications to high-resolution road maps. Fusing GPS, lidar, camera, and LGPR results yields a system that can accurately localize even when one of the sensing modes fails. This “fail-safe” capability will be necessary to the development of dependable autonomous vehicles that can handle demanding ground environments.
Source: MIT Lincoln Laboratory: News: Lincoln Laboratory demonstrates highly accurate vehicle localization under adverse weather conditions