The recent surge in fuel prices due to the war in Iran has spurred demand for electric vehicles around the world, and Chinese car makers are making the most of the opportunity. China is the world's top producer of EVs, and while its manufacturers remain largely shut out of the major car market of the United States, they are benefiting from an uptick in interest and orders via dealerships across Asia and elsewhere. BYD, which overtook Tesla as the world's largest seller of electric vehicles last year and is expanding aggressively overseas, is at the centre of this shift in focus. We survive and are successful without the US market today, BYD executive vice president Stella Li told the BBC at the Beijing Auto Show. Instead of aiming for US customers, the company says its challenge is meeting increased demand in other regions, including Brazil, the UK and Europe.

Our Tech department is the driving force behind one of the most successful start-ups in Europe since 2012. Based in Berlin, we have an innovative and driven team that is using cutting-edge technologies to redefine the used car market. You will lead a hard-working team of 20 Data Scientists and Machine Learning Engineers. You will manage 4 sub-teams that develop and maintain ML models in the areas such as pricing, recommendation systems, risk, conversion modeling, dynamic margins and inventory selection - in combination these models impact a major part of our business result. As Director of Data Science you will take over a successful department and need to grow it to the next level in terms of processes, adopted technology and its collaboration with Tech and management.

The average robot density in the manufacturing industry hit a new global record of 113 units per 10,000 employees. By regions, Western Europe (225 units) and the Nordic European countries (204 units) have the most automated production, followed by North America (153 units) and South East Asia (119 units). The world s top 10 most automated countries are: Singapore (1), South Korea (2), Japan (3), Germany (4), Sweden (5), Denmark (6), Hong Kong (7), Chinese Taipei (8), USA (9) and Belgium and Luxemburg (10). This is according to the latest World Robotics statistics, issued by the International Federation of Robotics (IFR). "Robot density is the number of operational industrial robots relative to the number of workers," says Milton Guerry, President of the International Federation of Robotics.

Despite a poor market performance in Japan, Tesla CEO Elon Musk confirmed on October 3 that Tesla's Full Self-Driving suite will soon arrive in this Asian market. A Japanese Tesla owner @Model3teslaJ tweeted on October 3 asking Musk when the FSD suite would make its way to Japan. The tweet says: "Elon, in Japan, we are still waiting for Navigate on Autopilot, Smart Summon, and FSD visualization preview. When will we get all these features?" The electric automaker's chief simply replied: "Coming soon."

The prices of new cars in the industry is fixed by the manufacturer with some additional costs incurred by the Government in the form of taxes. So, customers buying a new car can be assured of the money they invest to be worthy. But due to the increased price of new cars and the incapability of customers to buy new cars due to the lack of funds, used cars sales are on a global increase (Pal, Arora and Palakurthy, 2018). There is a need for a used car price prediction system to effectively determine the worthiness of the car using a variety of features. Even though there are websites that offers this service, their prediction method may not be the best. Besides, different models and systems may contribute on predicting power for a used car's actual market value. It is important to know their actual market value while both buying and selling. To be able to predict used cars market value can help both buyers and sellers. Used car sellers (dealers): They are one of the biggest target group that can be interested in results of this study. If used car sellers better understand what makes a car desirable, what the important features are for a used car, then they may consider this knowledge and offer a better service. Online pricing services: There are websites that offers an estimate value of a car. They may have a good prediction model.

Latest Strategic Study Released on Global Software for Autonomous Cars Market with forecast till 2025, the report comprises of historical data and estimation of the Global Software for Autonomous Cars Market. The following Industry is shown to progress with a noteworthy rise in the Compound Annual Growth Rate (CAGR) during the forecast period owing to various factors driving the market. Some of the key players mentioned in this research are "Alphabet, Delphi Automotive, Intel, NVIDIA, QNX Software Systems, Tesla, Apple, Autotalks, Cisco, Cohda Wireless, Covisint, DeepMap & Nauto", etc. Rapid Growth Factors In addition, the market is growing at a fast pace and the report shows us that there are a couple of key factors behind that. The most important factor that's helping the market grow faster than usual is the tough competition. Business Strategies Key strategies in theGlobal Software for Autonomous Cars Market that includes product developments, partnerships, mergers and acquisitions, etc discussed in this report.

Shown is the first mobile VR headset to provide an interface for the eyes and the brain with two eye tracking cameras and six brain-wave sensors, on display at a press event for CES 2018 at the Mandalay Bay Convention Center on January 7, 2018 in Las Vegas, Nevada. Tech's biggest trade show this year will be happening this week in Las Vegas from January 9 to 12. The Consumer Electronics Show celebrated its 50th trade show last year, where we saw big brands take on the rising and overwhelming market of smart home technology, robots, and self-driving cars. This year will highlight the same overarching theme that is artificial intelligence, but because of the rapid advances in AI, we can expect even smarter devices to enter the market. Here are some of the big trends that are predicted to generate some buzz on CES this 2018.

Autonomous cars will dominate the streets by 2022, according to Nissan-Renault-Mitsubishi Alliance Chairman Carlos Ghosn. The firm, which has an established autonomous car program, wants to give drivers control of their cars; their autonomous cars are not driverless cars -- instead, drivers can decide when they want to drive and when they want the car to drive for them. Ghosn says that autonomous cars provide a "huge advantage" for drivers, and as a result, the industry will have "massive growth" in the coming years. Instead of focusing on the road for hours at a time, people can "rest … relax … see a movie" while the car does its work for them. With autonomous cars featured heavily in news reports -- and even spotted in several testing-ground locations in the United States -- the hype surrounding autonomous cars begs the question: when will we see autonomous cars on the road?

First it was personal computers, then smartphones. Now the year's largest tech expo showed us what the next growth driver is: connected cars. At CES last week, tech giants like Microsoft, Intel and Nvidia showed off their latest plans for the fast-growing connected car market. Worldwide sales of connected car products is expected to increase almost fourfold between 2015 and 2020, according to a report by PwC's Strategy&, adding more than $149 billion in revenues in the passenger car segment alone. Some of the biggest bets have been by Samsung and Qualcomm.

Millennials have produced plenty of anxiety for automakers. As the stereotype goes, entitled young adults would prefer to hail an Uber, take public transportation or even hitch a ride from Mom instead of driving; an unusually large number of young millennials haven't even bothered to get a driver's license. That's led to fears that the largest generation in the country -- defined as people born between 1980 and 2004 -- has abandoned what used to be one of the biggest rites of passage into adulthood: buying a car. But after much hand-wringing among automakers and industry groups, recent data paint a more nuanced picture of millennials' automobile purchasing habits. They reveal a large, diverse group with complicated views about cars -- ones that are fundamentally different from that of previous generations.