Lifeboat Foundation

Hyundai Motor Group, the world’s third-biggest automaker by sales, plans to build a facility in the U.S. where its air mobility division Supernal will make flying electric taxis intended to be used by commuters.

A prototype of the electric vertical takeoff and landing craft will be shown at CES in Las Vegas in January, Supernal Chief Executive Officer Shin Jaiwon said.

The eVTOL taxi will be capable of flying at 120 miles an hour (190 kph) and have capacity for one pilot and four passengers. December 2024 is the target for a test flight, with ambitions to start commercial service four years later, Shin said in an interview this week with Bloomberg News in Singapore.

Kynikos Associates founder and legendary short seller Jim Chanos has highlighted the disparity between the public perception and actual performance of Tesla Inc. TSLA.

What Happened: In an interview with the Institute for New Economic Thinking, Chanos pointed out a common misbelief held by many Tesla admirers. He said the electric vehicle giant is seen as a multi-faceted entity — an AI firm, an alternative energy business, and a robotics organization.

This image, Chanos argues, is a result of Elon Musk’s compelling portrayal of Tesla as a future-focused company.

Earlier, CEO Elon Musk had expressed some caution regarding the production of the highly anticipated Cybertruck.

Tesla.

Continue reading “Tesla insider leaks Cybertruck specs ahead of launch” »

The robot dog that helped the LAPD end the standoff on Wednesday was one of the controversial devices that the Los Angeles City Council had approved for use by the police department earlier this year.

Boston Dynamics/ ONSCENE TV

The incident began around 3:45 am on Wednesday when a fellow passenger spotted a gun at the feet of a man who seemed to be asleep on the bus, the Los Angeles Police Department said.

Continue reading “LAPD’s controversial robot dog helps deescalate standoff with a gunman” »

It’s no secret that foundation models have transformed AI in the digital world. Large language models (LLMs) like ChatGPT, LLaMA, and Bard revolutionized AI for language. While OpenAI’s GPT models aren’t the only large language model available, they have achieved the most mainstream recognition for taking text and image inputs and delivering human-like responses — even with some tasks requiring complex problem-solving and advanced reasoning.

ChatGPT’s viral and widespread adoption has largely shaped how society understands this new moment for artificial intelligence.

The next advancement that will define AI for generations is robotics. Building AI-powered robots that can learn how to interact with the physical world will enhance all forms of repetitive work in sectors ranging from logistics, transportation, and manufacturing to retail, agriculture, and even healthcare. It will also unlock as many efficiencies in the physical world as we’ve seen in the digital world over the past few decades.

Einstein’s fascination with light, considered quirky at the time, would lead him down the path to a brand new theory of physics.

Living half a century before Einstein, a Scotsman, James Clerk Maxwell, revealed a powerful unification and universalization of nature, taking the disparate sciences of electricity and magnetism and merging them into one communion. It was a titanic tour-de-force that compressed decades of tangled experimental results and hazy theoretical insights into a tidy set of four equations that govern a wealth of phenomena. And through Maxwell’s efforts was born a second great force of nature, electromagnetism, which describes, again in a mere four equations, everything from static shocks, the invisible power of magnets, the flow of electricity, and even radiation – that is, light – itself.

At the time Einstein’s fascination with electromagnetism was considered unfashionable. While electromagnetism is now a cornerstone of every young physicist’s education, in the early 20^th century it was seen as nothing more than an interesting bit of theoretical physics, but really something that those more aligned in engineering should study deeply. Though Einstein was no engineer, as a youth his mind burned with a simple thought experiment: what would happen if you could ride a bicycle so quickly that you raced beside a beam of light? What would the light look like from the privileged perspective?

Lasers are essential tools for observing, detecting, and measuring things in the natural world that we can’t see with the naked eye. But the ability to perform these tasks is often restricted by the need to use expensive and large instruments.

In a newly published cover-story paper in the journal Science, researcher Qiushi Guo demonstrates a novel approach for creating high-performance ultrafast lasers on nanophotonic chips. His work centers on miniaturizing mode-lock lasers—a unique laser that emits a train of ultrashort, coherent light pulses in femtosecond intervals, which is an astonishing quadrillionth of a second.

Ultrafast mode-locked lasers are indispensable to unlocking the secrets of the fastest timescales in nature, such as the making or breaking of molecular bonds during chemical reactions, or light propagation in a turbulent medium. The high-speed, pulse-peak intensity and broad-spectrum coverage of mode-locked lasers have also enabled numerous photonics technologies, including optical atomic clocks, biological imaging, and computers that use light to calculate and process data.

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MIT scientists have developed a deep learning system, Air-Guardian, designed to work in tandem with airplane pilots to enhance flight safety. This artificial intelligence (AI) copilot can detect when a human pilot overlooks a critical situation and intervene to prevent potential incidents.

The backbone of Air-Guardian is a novel deep learning system known as Liquid Neural Networks (LNN), developed by the MIT Computer Science and Artificial Intelligence Lab (CSAIL). LNNs have already demonstrated their effectiveness in various fields. Their potential impact is significant, particularly in areas that require compute-efficient and explainable AI systems, where they might be a viable alternative to current popular deep learning models.

The rim-less electric motor promises to offer similar performance figures when compared to its fossil-fuelled counterparts.

An electric jet engine is silently taking flight in the suburbs of Prince Edward Island in North America that promises to deliver similar performance to its fossil-fuelled counterparts.

Canada-based Duxion Motors has successfully completed the ground test of its patented eJet Motor, which, according to it, is “poised to make high-speed electric aviation a reality,” said its website. The ground tests with a scaled prototype included both low-speed and high-speed testing.

Continue reading “World’s first rim-driven jet propulsion motor test successful in Canada” »