When thousands of people converge in Tokyo for the 2020 Olympic and Paralympic Games, the city's infrastructure will be tested. Toyota is getting into the mix to handle some of the ways people will get around the city and the Olympics venue. Toyota unveiled Thursday a new product called APM or Accessible People Mover that is designed for the Olympics and Paralympic Games. The aim, according to Toyota, is for this vehicle to provide "mobility for all" and to solve the so-called "last mile" problem. In Toyota's view, that means a vehicle that can transport as many people as possible, including elderly, pregnant women, families with young children and people with disabilities.
Autonomous robots could soon be ferrying deliveries alongside human messengers in your city's bike lane. Refraction AI has unveiled a 5-foot-tall delivery robot dubbed REV-1 that can zip around at speeds of up to 15 miles per hour on its three wheels. It can carry the equivalent of about four or five grocery bags in its cabin, according to the firm. The company says its lightweight, nimble design will allow it to operate in both the bike lane and the roadway, making for more efficient last-mile delivery options. 'We have created the Goldilocks of autonomous vehicles in terms of size and shape,' Matthew Johnson-Roberson, cofounder and CEO at Refraction, said in a statement when the bot launched this month at TechCrunch Mobility.
Tesla Powerwalls and Solar Roof, two of Elon Musk's innovative strategies to get consumers onto the solar grid, require waits of six months or longer. The company says customers are hungry, but it doesn't have the product yet. Tesla is cutting the price of the Model 3, as it aims to make its best-selling product more affordable, and is discontinuing versions of other vehicles. Tesla said on Monday that it's reducing the price of the Model 3 by $1,000 to $38,990. The company will no longer sell the standard range versions of the Model S and Model X, raising the minimum costs consumers will have to pay for those cars.
As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data.
Elon Musk, the futurist billionaire behind SpaceX and Tesla, outlined his plans to connect humans' brains directly to computers on Tuesday night, describing a campaign to create "symbiosis with artificial intelligence." He said the first prototype could be implanted in a person by the end of next year. Arriving at that goal "will take a long time," Musk said in a presentation at the California Academy of Sciences in San Francisco, noting that securing federal approval for implanted neural devices is difficult. But testing on animals is already underway, and "a monkey has been able to control the computer with his brain," he said. Musk founded Neuralink Corp. in July 2016 to create "ultra-high bandwidth brain-machine interfaces to connect humans and computers."
ANSYS and BMW have announced plans to create the first holistic simulation toolchain for developing autonomous vehicle (AV) technologies. The simulation tool chain will enable highly automated and autonomous driving (AD) with the first vehicle launch expected in just two years. BMW Group is leveraging ANSYS' engineering simulation solutions to speed up the development of a safety-focused solution for the validation of AD systems. The multi-year agreement drives the development of BMW Group's Level 3 offering and Level 4-5 technology, delivering high/full automation for the highly anticipated BMW iNEXT, expected to launch in 2021. The new automated simulation toolchain will make efficient use of BMW s large amount of sensor data through intelligent data analytics and the creation of scenarios according to statistical relevance and AD system sensitivity.
Artificial Intelligence is making the transition to electronic-only publishing a necessity for textbook publishers. In a recent story, the BBC reported on how Pearsons, one of the largest textbook publishing companies in the world, is getting out of the print business. This is very much along the lines of Ford Motor Company announcing recently that they will stop producing cars. While the jury is still out on whether the latter is a good idea, in many respects. It is a matter of economics.
Tesla has reigned over the electric car market for over a decade, but these new autos are hoping to give Tesla a run for their money. Current and former Tesla employees working in the company's open-air "tent" factory say they were pressured to take shortcuts to hit aggressive Model 3 production goals, including making fast fixes to plastic housings with electrical tape, working through harsh conditions and skipping previously required vehicle tests. For instance, four people who worked on the assembly line say they were told by supervisors to use electrical tape to patch cracks on plastic brackets and housings, and provided photographs showing where tape was applied. They and four additional people familiar with conditions there describe working through high heat, cold temperatures at night and smoky air during last year's wildfires in Northern California. Tesla can't appeal to women: Electric cars, Elon Musk may be off-putting Why I bought a Tesla: One woman's experience buying Elon Musk's sleek EV Their disclosures highlight the difficult balance Tesla must strike as it ramps up production while trying to stem costs. Tesla recently told shareholders that in the three months ending June 30, 2019, it made 87,048 vehicles, including 72,531 Model 3s, the company's lowest-priced sedan.
About the author Andrew Macleod is the director of automotive marketing at Siemens, focusing on the Mentor product suite. He has more than 15 years of experience in the automotive software and semiconductor industry, with expertise in new product development and introduction, automotive integrated circuit product management and global strategy, including a focus on the Chinese auto industry. He earned a 1st class honors engineering degree from the University of Paisley in the UK and lives in Austin, Texas.