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Archive for the ‘transportation’ category: Page 13

Nov 13, 2023

Foxconn, Maker of iPhones, Unveils Foxtron Model V Electric Pickup Truck

Posted by in categories: mobile phones, transportation

Meet Taiwan’s first homegrown electric pickup truck comes from a familiar source: Foxconn, otherwise known as Hon Hai Technology Group.

Nov 12, 2023

AI-powered traffic signs can reduce emissions from vehicles

Posted by in categories: robotics/AI, sustainability, transportation

“This is the first project of its kind to incorporate a social component into a traffic control system.”

Vehicle pollution is a significant contributor to air pollution worldwide making it both a global and local problem.


A researcher is using machine learning to create traffic light management systems that are socially and environmentally conscious making them ideal at lessening emissions from vehicles.

Continue reading “AI-powered traffic signs can reduce emissions from vehicles” »

Nov 12, 2023

Hyundai’s Supernal to build U.S. plant to make flying electric taxis

Posted by in category: transportation

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.

Nov 12, 2023

Jim Chanos Calls Tesla Just A ‘Hopes-And-Dreams’ Company

Posted by in categories: business, economics, Elon Musk, robotics/AI, sustainability, transportation

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.

Nov 11, 2023

Tesla insider leaks Cybertruck specs ahead of launch

Posted by in categories: Elon Musk, sustainability, transportation

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” »

Nov 10, 2023

LAPD’s controversial robot dog helps deescalate standoff with a gunman

Posted by in categories: robotics/AI, transportation

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” »

Nov 10, 2023

AI robotics’ ‘GPT moment’ is near

Posted by in categories: food, robotics/AI, transportation

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.

Nov 10, 2023

How Einstein’s Daydream of Light Created Relativity

Posted by in categories: education, engineering, information science, physics, transportation

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 20th 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?

Nov 9, 2023

Photonics team develops high-performance ultrafast lasers that fit on a fingertip

Posted by in categories: biological, chemistry, computing, transportation

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.

Nov 9, 2023

MIT’s copilot system can set the stage for a new wave of AI innovation

Posted by in categories: robotics/AI, transportation

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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.

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