A high-tech sponge can absorb water vapor from the air and convert it to pure hydrogen for use in hydrogen fuel cell vehicles and machines. This…
Underwater robots that peered under Antarctica’s Thwaites Glacier, nicknamed the “Doomsday Glacier,” saw that its doom may come sooner than expected with an extreme spike in ice loss. A detailed map of the seafloor surrounding the icy behemoth has revealed that the glacier underwent periods of rapid retreat within the last few centuries, which could be triggered again through melt driven by climate change.
Thwaites Glacier is a massive chunk of ice — around the same size as the state of Florida in the U.S. or the entirety of the United Kingdom — that is slowly melting into the ocean off West Antarctica (opens in new tab). The glacier gets its ominous nickname because of the “spine-chilling” implications of its total liquidation, which could raise global sea levels between 3 and 10 feet (0.9 and 3 meters), researchers said in a statement (opens in new tab). Due to climate change, the enormous frozen mass is retreating twice as fast as it was 30 years ago and is losing around 50 billion tons (45 billion metric tons) of ice annually, according to the International Thwaites Glacier Collaboration (opens in new tab).
The Thwaites Glacier extends well below the ocean’s surface and is held in place by jagged points on the seafloor that slow the glacier’s slide into the water. Sections of seafloor that grab hold of a glacier’s underbelly are known as “grounding points,” and play a key role in how quickly a glacier can retreat.
“We think that each car needs to sound for itself.”
It was roughly six years ago when Audi started designing bold soundtracks for its growing line of hybrids and EVs. Why did the 111-year-old carmaker need custom sounds for its forward-looking product line? It all comes down to one thing: electric vehicles are practically silent, even when traveling at high speeds.
Audi.
Continue reading “Cool Job: Meet the engineer who designs the sounds for Audi’s EVs” »
University of Portsmouth joins leading AI researchers at DeepMind to help engineer faster acting enzymes for recycling some of the worlds most polluting single use plastics.
The University’s Centre for Enzyme Innovation (CEI) has used DeepMind’s ground-breaking AI system to make strides in their research on circular recycling.
This will make solar the cheapest type of clean energy.
The biggest challenge with solar power is that it can be produced only during the day. This is also one of the major reasons why many people and industries abstain from investing in solar panels because they are not a stable source of power. However, 26-year-old innovator and entrepreneur Ben Nowack claims to have developed a method that would allow solar energy production during the night as well.
Studies say that by combining historical accident data with road maps, satellite imagery, and GPS, a machine learning model is trained to create high-resolution crash maps, we might be getting ever so closer to safer roads. Technology has changed a lot over the years such as GPS systems that eliminated the need to memorize streets orally, sensors and cameras that warn us of objects that are close to our vehicles, and autonomous electric vehicles. However, the precautions we take on the road have largely remained the same. In most places, we still rely on traffic signs, mutual trust, and the hope that we’ll reach our destination safely.
With a view to finding solutions to the uncertainty underlying road accidents, researchers at the MIT Computer Science and Artificial Intelligence Laboratory have been working with the Qatari Center for Artificial Intelligence to develop a deep learning model that can predict high-resolution maps of accident risks. The model calculates the number of accidents predicted for a specific future time frame using past accident data, road maps, simulations and GPS traces. Thus, high-risk zones and future crashes can be identified using the map.
According to reports by homelandsecuritynewswire.com, maps of this type have been captured so far at much lower resolutions, resulting in a loss of vital information. Former attempts have relied mostly on hystorical crash data, whereas the research team has compiled a wide base of critical information, identifying high-risk areas by analyzing GPS signals that provide data on traffic density, speed, and direction, along with satellite imagery that provides data on road structures. They observed that highways, for example, are more hazardous than nearby residential roads, and intersections and exits to highways are even more dangerous than other highways.
UNSW engineers have built a new high-speed motor which has the potential to increase the range of electric vehicles.
The design of the prototype IPMSM type motor was inspired by the shape of the longest railroad bridge in South Korea and has achieved speeds of 100,000 revolutions per minute.
The maximum power and speed achieved by this novel motor have successfully exceeded and doubled the existing high-speed record of laminated IPMSMs (Interior Permanent Magnet Synchronous Motor), making it the world’s fastest IPMSM ever built with commercialized lamination materials.
Most of the world’s greatest wind power resources are offshore – often a long way offshore, where the water’s so deep that it’s impractical to build typical fan-on-a-stick wind turbines with bases sunk deep into the sea floor. Floating wind, at this stage, is so vastly expensive to build, deploy and maintain that it ends up costing two to three times as much per kilowatt-hour of energy as fixed-bottom offshore installations.
There’s a huge opportunity here for technological advancement, and companies like Norway’s World Wide Wind are proposing some pretty radical ideas in the space. A lot of the energy cost comes down to the size, weight and materials involved in the structure of the turbine, along with the logistical issues and specialized equipment needed to build, install and maintain the things.
Continue reading “T-Omega re-thinks floating offshore wind turbines for huge cost savings” »
