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.
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.
In recent developments, a team of researchers explored the possibility of combining rooftop photovoltaics (PVs) with electric vehicles (EVs) as a viable and scalable strategy to provide clean, cost-effective, and dependable electricity in urban settings, with particular attention to Paris and its surrounding regions.
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 autonomous vehicle 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.
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.
According to the Organisation for Economic Co-operation and Development estimates, transportation accounts for 27 percent of global carbon emissions. Powered by fossil fuels, road-based transportation contributes 80 percent of these emissions and therefore countries are aggressively pushing for the electrification of vehicles. While major advances have been made for passenger cars and air transport, water transport is still lagging. Yara’s new cargo ship might just lead the way.
Decarbonising Australia’s transport systems will take more than a transition to electric vehicles. Understanding how and when owners like to charge their cars is important. Our researchers are examining how we might persuade the increasing electricity demand to meet the time-dependent renewable energy supply.
How many people do you know who own an electric vehicle? Most Australians still drive petrol-fuelled cars. But the proportion of electric vehicles (EVs) on our roads is set to boom in coming years, particularly if the government’s plans to introduce a fuel efficiency standard prove successful.
Transport researchers at the University of Melbourne Faculty of Engineering and Information Technology have studied the expectations EV owners have for charging – and what they think of policies and technologies that aim to shape EV charging behaviours.