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Tesla remains the king.

Ranjan KC


The Apple Car. Quite possibly the most hotly anticipated rumour of this decade. And last decade. Years in the making, and still years from its first appearance, what do we know about the Apple Car?

The late Apple co-founder Steve Jobs was said to be thinking about the company’s involvement in the automotive industry way back in 2008, the era of the iPhone 3G. Fast forward a few years and the Project Titan name begins to get thrown around, an Apple project destined to bring autonomous transport to life. More than 1000 employees were transferred onto this project in its early days.

Apple seemingly put all its eggs into this basket though, because in 2016 rumours had it that Project Titan was getting axed. After major staffing changes and leadership issues, the Project remains in operation today with John Giannandrea at the wheel — Apple’s artificial intelligence and machine learning chief.

The aviation industry is a terrible emitter of greenhouse gases. In 2019, it emitted 918 million tons of carbon dioxide into the environment. To solve this problem, aircraft must go green. One solution is battery-powered airplanes. Battery-powered airplanes have existed for decades and with improvements in battery technology, could become widespread in the near future. However, for long-distance intercontinental flights, we will need hydrogen airplanes. Hydrogen airplanes are also very feasible and could be used with turbofan technology, producing only water as emissions.

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Thank you to the following sources!

Information.

Global Emissions


https://theicct.org/publications/co2-emissions-commercial-aviation-2020
https://www.nature.com/articles/d41586-021-00090-3
https://aviationbenefits.org/economic-growth/supporting-employment/
https://www.bbc.com/news/business-48630656
https://en.wikipedia.org/wiki/Electric_aircraft#First_prototypes.
https://www.atag.org/facts-figures.html.
https://www.airbus.com/innovation.html.
https://www.airbus.com/innovation/zero-emission/hydrogen/zeroe.html.

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Scientists have taken a major step forward in harnessing machine learning to accelerate the design for better batteries: Instead of using it just to speed up scientific analysis by looking for patterns in data, as researchers generally do, they combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shortens the lifetimes of fast-charging lithium-ion batteries.

It was the first time this approach, known as “scientific machine learning,” has been applied to cycling, said Will Chueh, an associate professor at Stanford University and investigator with the Department of Energy’s SLAC National Accelerator Laboratory who led the study. He said the results overturn long-held assumptions about how lithium-ion batteries charge and discharge and give researchers a new set of rules for engineering longer-lasting batteries.

The research, reported today in Nature Materials, is the latest result from a collaboration between Stanford, SLAC, the Massachusetts Institute of Technology and Toyota Research Institute (TRI). The goal is to bring together foundational research and industry know-how to develop a long-lived electric vehicle battery that can be charged in 10 minutes.

From flat battery to full charge in just five minutes—an Israeli start-up has developed technology it says could eliminate the “range anxiety” associated with electric cars.

Ultra-fast recharge specialists StoreDot have developed a first-generation lithium-ion that can rival the filling time of a standard car at the pump.

“We are changing the entire experience of the driver, the problem of ‘range anxiety’… that you might get stuck on the highway without energy,” StoreDot founder Doron Myersdorf said.

A new type of supply chain attack unveiled last month is targeting more and more companies, with new rounds this week taking aim at Microsoft, Amazon, Slack, Lyft, Zillow, and an unknown number of others. In weeks past, Apple, Microsoft, Tesla, and 32 other companies were targeted by a similar attack that allowed a security researcher to execute unauthorized code inside their networks.

The latest attack against Microsoft was also carried out as a proof-of-concept by a researcher. Attacks targeting Amazon, Slack, Lyft, and Zillow, by contrast, were malicious, but it’s not clear if they succeeded in executing the malware inside their networks. The npm and PyPi open source code repositories, meanwhile, have been flooded with more than 5000 proof-of-concept packages, according to Sonatype, a firm that helps customers secure the applications they develop.

“Given the daily volume of suspicious npm packages being picked up by Sonatype’s automated malware detection systems, we only expect this trend to increase, with adversaries abusing dependency confusion to conduct even more sinister activities,” Sonatype researcher Ax Sharma wrote earlier this week.