You can’t ride them, but you sure can dream about them.
The works of the world’s most famous architects are easy to recognize. They add beauty and grace to our landscape and brighten up even the gloomiest of neighborhoods.
Now, designers Moss and Fog have used AI-image generator MidJourney to produce cars in the style of the world’s most famous architects, and the results are both mesmerizing and invigorating. and Fog/Instagram.
This is the world’s first flying car the Xpeng X2. The X2 is Xpeng’s first attempt at a flying vehicle and they delivered way better than expected! The X2 can take flight for around 35 minutes after a three-hour charge and is XPeng’s first line of flying vehicles which will eventually lead to the world’s first flying car. Today Sergi gives a closer look at this incredible machine! Let us know what you think in the comments!
Sergi: https://www.instagram.com/sergi.galiano.
Read here for more — https://supercarblondie.com/ev/the-x2-flying-car-has-some-tr…echnology/
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Applied Materials Inc., the biggest maker of semiconductor-manufacturing equipment, gave a strong sales forecast for the current quarter, benefiting from demand for gear that makes auto and industrial chips.
Blade says it will use the ALIA-250 to take passengers from Manhattan to the Hamptons starting in 2025 or 2026.
A second problem is the risk of technological job loss. This is not a new worry; people have been complaining about it since the loom, and the arguments surrounding it have become stylized: critics are Luddites who hate progress. Whither the chandlers, the lamplighters, the hansom cabbies? When technology closes one door, it opens another, and the flow of human energy and talent is simply redirected. As Joseph Schumpeter famously said, it is all just part of the creative destruction of capitalism. Even the looming prospect of self-driving trucks putting 3.5 million US truck drivers out of a job is business as usual. Unemployed truckers can just learn to code instead, right?
Those familiar replies make sense only if there are always things left for people to do, jobs that can’t be automated or done by computers. Now AI is coming for the knowledge economy as well, and the domain of humans-only jobs is dwindling absolutely, not merely morphing into something new. The truckers can learn to code, and when AI takes that over, coders can… do something or other. On the other hand, while technological unemployment may be long-term, its problematicity might be short-term. If our AI future is genuinely as unpredictable and as revolutionary as I suspect, then even the sort of economic system we will have in that future is unknown.
A third problem is the threat of student dishonesty. During a conversation about GPT-3, a math professor told me “welcome to my world.” Mathematicians have long fought a losing battle against tools like Photomath, which allows students to snap a photo of their homework and then instantly solves it for them, showing all the needed steps. Now AI has come for the humanities and indeed for everyone. I have seen many university faculty insist that AI surely could not respond to their hyper-specific writing prompts, or assert that at best an AI could only write a barely passing paper, or appeal to this or that software that claims to spot AI products. Other researchers are trying to develop encrypted watermarks to identify AI output. All of this desperate optimism smacks of nothing more than the first stage of grief: denial.
Over the past few years, material scientists and electronics engineers have been trying to fabricate new flexible inorganic materials to create stretchable and highly performing electronic devices. These devices can be based on different designs, such as rigid-island active cells with serpentine-shape/fractal interconnections, neutral mechanical planes or bunked structures.
Despite the significant advancements in the fabrication of stretchable materials, some challenges have proved difficult to overcome. For instance, materials with wavy or serpentine interconnect designs commonly have a limited area density and fabricating proposed stretchable materials is often both difficult and expensive. In addition, the stiffness of many existing stretchable materials does not match that of human skin tissue, making them uncomfortable on the skin and thus not ideal for creating wearable technologies.
Researchers at Sungkyunkwan University (SKKU), Institute for Basic Science (IBS), Seoul National University (SNU), and Korea Advanced Institute of Science and Technology (KAIST) have recently fabricated a vacuum-deposited elastic polymer for developing stretchable electronics. This material, introduced in Nature Electronics, could be used to create stretchy field-effect transistors (FETs), which are primary components of most electronic devices on the market today.
The system can be attached to any fuel dispenser, offering a hands-free solution.
In an era where technology is taking over all spheres of life, refueling techniques have remained mainl a mechanical process that demands the utmost attention from the user. As a solution to this, Denmark-based Autofuel is offering a robotic refueling system that cuts the need for drivers’ attention or direct involvement.
Thrusters may provide propulsion in any direction and can “roll” around the limb.
Meet the University of Tokyo’s SPIDAR, the backronym of “SpherIcally vectorable and Distributed rotors assisted Air-ground amphibious quadruped Robot,” with multimodal locomotion capability.
How does it work?
University of Cambridge, working with colleagues from Austria, found a new way to make a possible replacement for rare-earth magnets: tetrataenite, a ‘cosmic magnet’ that takes millions of years to develop naturally in meteorites.
Previous attempts to make tetrataenite in the laboratory have relied on impractical, extreme methods. But the addition of a common element — phosphorus — could mean that it’s possible to make tetrataenite artificially and at scale, without any specialised treatment or expensive techniques.
The results are reported in the journal Advanced Science. A patent application on the technology has been filed by Cambridge Enterprise, the University’s commercialisation arm, and the Austrian Academy of Sciences.
Researchers have discovered a potential new method for making the high-performance magnets used in wind turbines and electric cars without the need for rare earth elements, which are almost exclusively sourced in China.
The train was carrying industrial materials used in plastics, paint thinners and other products, according to information provided to the federal government.
