Well it does kinda look like a stapler.
This wild-looking people mover can transport up to 20, Musk said.
Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.
Biological brains, on the other hand, are remarkably flexible. Humans and animals can easily learn how to play a new game, for instance, without having to re-learn how to walk and talk.
Inspired by the flexibility of human and animal brains, Caltech researchers have now developed a new type of algorithm that enables neural networks to be continuously updated with new data that they are able to learn from without having to start from scratch. The algorithm, called a functionally invariant path (FIP) algorithm, has wide-ranging applications from improving recommendations on online stores to fine-tuning self-driving cars.
Be it water, light or sound: waves usually propagate in the same way forwards as in the backward direction. As a consequence, when we are speaking to someone standing some distance away from us, that person can hear us as well as we can hear them. This is useful when having a conversation, but in some technical applications one would prefer the waves to be able to travel only in one direction – for instance, in order to avoid unwanted reflections of light or microwaves.
For sound waves, ten years ago researchers succeeded in suppressing their propagation in the backward direction; however, this also attenuated the waves travelling forwards. A team of researchers at ETH Zurich led by Nicolas Noiray, professor for Combustion, Acoustics and Flow Physics, in collaboration with Romain Fleury at EPFL, has now developed a method for preventing sound waves from travelling backwards without deteriorating their propagation in the forward direction. In the future, this method, which has recently been published in the scientific journal external page Nature Communications, could also be applied to electromagnetic waves.
The basis of this one-way street for sound waves are self-oscillations, in which a dynamical system periodically repeats its behaviour. “I’ve actually spent a good part of my career preventing such phenomena”, says Noiray. Amongst other things, he studies how self-sustaining thermo-acoustic oscillations can arise from the interplay between sound waves and flames in the combustion chamber of an aircraft engine, which can lead to dangerous vibrations. In the worst case, these vibrations can destroy the engine.
Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.
Biological brains, on the other hand, are remarkably flexible. Humans and animals can easily learn how to play a new game, for instance, without having to re-learn how to walk and talk.
Inspired by the flexibility of human and animal brains, Caltech researchers have now developed a new type of algorithm that enables neural networks to be continuously updated with new data that they are able to learn from without having to start from scratch. The algorithm, called a functionally invariant path (FIP) algorithm, has wide-ranging applications from improving recommendations on online stores to fine-tuning self-driving cars.
“Hyundai Motor Co., Korea’s largest car seller under Hyundai Motor Group, last month agreed on a strategic partnership with US auto giant General Motors Co. to jointly produce clean hydrogen in the US and develop future mobility solutions such as hydrogen fuel-cell cars and EVs.”
The leaders of Toyota Motor Corp. and Hyundai Motor Group will meet in South Korea later this month, raising expectations of a deepening partnership between the world’s No. 1 and No. 3 auto groups in future mobility technology.
Hyundai Motor announced on Tuesday that Akio Toyoda, chairman of Toyota Motor, will visit South Korea to attend the Hyundai N x TOYOTA GAZOO Racing Festival, which will be held at Everland Speedway on the grounds of the theme park in Yongin on Oct. 27.
Continue reading “Toyota, Hyundai chiefs to meet in Seoul for hydrogen alliance” »
NamX revolutionizes sustainable transportation with its innovative Hydrogen Utility Vehicle (HUV) and pioneering CapXtores hydrogen distribution system. Discover how NamX’s cutting-edge technology and strategic partnerships are shaping the future of hydrogen-powered mobility, promising a greener and more sustainable world.
German automotive parts giant MAHLE has secured its first order from combustion engine manufacturer DEUTZ to develop and supply components for hydrogen engines. This milestone collaboration, described by MAHLE CEO Arnd Franz as a significant advancement in the automotive industry, signals a growing shift towards sustainable energy alternatives beyond electric vehicles.
Hydrogen fuel, which produces no heat-trapping air pollution at the point of use, could be the future of clean energy. But first, some of the technology around still has to be improved, and researchers at the University of Alberta believe they have made an important step in that direction, AL Circle reported.
The breakthrough out of the University of Alberta is a new alloy material — dubbed AlCrTiVNi5 — that consists of metals such as aluminum and nickel. The alloy has great potential for coating surfaces that have to endure extremely high temperatures, such as gas turbines, power stations, airplane engines, and hydrogen combustion engines.
Research that eliminates the guesswork in developing advanced 3D printed materials could help accelerate the development of new forms of “self-sensing” airplanes, robots, bridges and more.
Innovations in engine technology are making water a potential fuel source, leveraging hydrogen extracted from H₂O.
Toyota’s latest breakthrough in sustainable mobility — the world’s first water engine. Departing from conventional hydrogen-powered vehicles, this groundbreaking innovation operates at an unprecedented temperature of 2500°C, thanks to its ingenious water-cooled design. But that’s not all — equipped with a special dual injection system, this engine delivers unparalleled efficiency and performance.
