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Looking to the past has made a more sustainable future possible in the shipping industry, with the latest wind-powered vessel taking to the seas for its first voyage.

The Pyxis Ocean from the Mitsubishi Corporation has been retrofitted with two “WindWings” sails — developed by BAR Technologies and produced by Yara Marine — on the cargo ship’s deck.

Measuring up to 123 feet (37.5 meters) high, the sails have been estimated to allow for up to 30% fuel savings on newly built ships while cutting carbon pollution.

At a somewhat small and unassuming airport in Maribor, Slovenia, German hydrogen propulsion startup H2FLY has quietly been building up to a major milestone in zero-emission aviation over the summer. And all the hard work has come to fruition, with the successful completion of the world’s first crewed liquid hydrogen-powered flights.

Before any aviation history enthusiast out there goes “but what about the Tupolev Tu-155?” — yes, the Soviets did try out liquid hydrogen as fuel 35 years ago, but only for one of the three engines. In contrast, H2FLY’s HY4 has now operated using only liquid hydrogen (as opposed to the gaseous kind) as fuel, relying solely on the hydrogen fuel-cell powertrain for the entire flight.

THE future has finally caught up as the world’s first flying car has at last been unveiled nearly a year after the concept was announced.

Thanks to California-based Alef Aeronautics, a car that can fly is officially on the ground — and soon to be in the air.

Dubbed the Alef Model A, the technologically advanced concept car was revealed at the North America International Auto Show in Detroit, Michigan.

Imagine living in a cool, green city flush with parks and threaded with footpaths, bike lanes, and buses, which ferry people to shops, schools, and service centers in a matter of minutes.

That breezy dream is the epitome of urban planning, encapsulated in the idea of the 15-minute city, where all basic needs and services are within a quarter of an hour’s reach, improving public health and lowering vehicle emissions.

Artificial intelligence could help urban planners realize that vision faster, with a new study from researchers at Tsinghua University in China demonstrating how machine learning can generate more efficient spatial layouts than humans can, and in a fraction of the time.

Autoline reports breaking global car news, with great insight and analysis. Also, top auto executive interviews. We cover electric vehicles (EV), autonomous vechicles (AV) and internal combustion engine technology (ICE), as well as car sales & financial earnings snd new car reviews.

0:00 UAW Lays Out Stand Up Strike Strategy.
1:41 Ford Fumes After UAW Rejects Counter Offer.
3:12 Tesla Develops Gigacasting Breakthrough.
5:23 China Upset Over EU EV Investigation.
6:06 U.S. BEV Sales Soar 67% Through July.
6:41 GMC Unveils All-New Acadia.
7:39 Cadillac Updates CT5 Sedan.
8:16 Jeep Gladiator Gets Slight Refresh.
8:42 Volvo Adds Video Streaming to Its Cars.

Story Links:
- UAW Livestream 9/13/2023: https://www.youtube.com/watch?v=1TM0L5DqQ5s.

- Ford UAW Release: https://media.ford.com/content/fordmedia/fna/us/en/news/2023…ffer.html.

When the botnet floods the target with excessive requests, service failures occur which jeopardize the availability of the targeted system and even put the integrity of the whole infrastructure at risk. When aimed against essential infrastructures such as healthcare or transportation, the hazards go beyond financial and reputational harm to endangering people’s lives.

Incorporating IoT Devices into Botnets

IoT devices that are unpatched, unattended, or misconfigured, or are already under botnet DDoS attack, are at risk of being incorporated into a botnet. To expand the botnet, an attacker hacks new IoT devices. This process involves two entities: the botnet itself and the loader server, a special server that infects other devices.

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.

To do this, the vehicle might use a powerful computer vision model to categorize every pixel in a high-resolution image of this scene, so it doesn’t lose sight of objects that might be obscured in a lower-quality image. But this task, known as semantic segmentation, is complex and requires a huge amount of computation when the image has high resolution.

Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed a more efficient computer vision model that vastly reduces the computational complexity of this task. Their model can perform semantic segmentation accurately in real-time on a device with limited hardware resources, such as the on-board computers that enable an to make split-second decisions.

Needless to say, this could transform the way Tesla builds EVs and contribute decisively to halving production costs, which is a long-time goal of CEO Elon Musk.

The sources said the know-how to achieve that is core to Tesla’s “unboxed” manufacturing strategy unveiled by Elon Musk in March, which is key to his plan to build tens of millions of cheaper EVs over the next ten years, and still turn a profit.

Two of the insiders said Tesla’s new design and manufacturing techniques could allow the company to develop a car from the ground up in 18–24 months, compared to 3–4 years for most rivals.