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China's high-tech push seeks to reassert global factory dominance

The Japan Times

Tianjin, China – At a factory in China's north, workers are busy testing an automated vehicle designed to move bulky items around industrial spaces, one of a new generation of robots Beijing wants to shift the country's manufacturing up the value chain. The robot's Tianjin-based maker has received tax breaks and government-guaranteed loans to build products that modernize China's vast factory sector and advance its technological expertise. "The government is paying great attention to the manufacturing sector and the real economy -- we can feel that," said Ren Zhiyong, general manager of Tianjin Langyu Robot Co. China is backing R&D efforts by high-tech manufacturers like Langyu, driven by an urgent desire to reduce reliance on imported technology and reinforce its dominance as a global factory power, even as it cracks down on other parts of the economy. Beijing's pivot puts the focus on advanced manufacturing, rather than the services sector, to steer the world's second-largest economy past the so-called "middle income trap", where countries lose productivity and stagnate in lower-value economic output.


Telstra and Airspeeder team up to get racing multicopter series off the ground

ZDNet

Telstra Purple and Airspeeder have signed what is being dubbed as a "multi-million dollar technical partnership" for the telco to deliver the race-control system for the Exa racing series. The business services arm of the telco will provide a private 5G network that will handle the terabytes of data sent for vehicle-to-vehicle and vehicle-to-infrastructure communications, as well data visualisation, edge compute power, and app development. Since it involves 5G and sport, one of the use cases cited was augmented reality for spectators. Telstra Purple has signed up for an initial 12 months that will see the remotely-piloted racing multicopter series get off the ground. The Exa series is slated to be held in three locations with four teams racing identical vehicles.


Top 10 Things A 'Self-Driving' Vehicle Must Do to Actually Be Self-Driving

#artificialintelligence

Argo tests in multiple cities to ensure its SDS is exposed to a wide range of driving regulations, enabling it to operate appropriately and consistently with local rules, which often vary from place to place. Consider, for example, how a vehicle should behave when turning right if there is a bike lane. In California, a car may occupy the bike lane to turn right on red, but in Pennsylvania, the same right turn requires the car to stay in the vehicle lane. Argo's powerful prediction system can incorporate a database of driving styles from which to match data, anticipate likely actions, make appropriate decisions, and avoid extreme situations in order to achieve "naturalistic driving." The SDS can even handle the (in)famous "Pittsburgh left," an unwritten rule in Argo's home city which calls for oncoming traffic to give up the right-of-way and politely let left-turning vehicles turn against a green.


Subaru plans to sell automated cars for use on ordinary roads in late 2020s

The Japan Times

Subaru Corp. aims to start selling vehicles equipped with the equivalent of "level-2" autonomous technology, which can steer, accelerate and slow down on ordinary roads, in the second half of the 2020s, company officials said Tuesday. But developing such vehicles to run on ordinary roads has been a challenge, due to the need to respond to unexpected scenarios such as pedestrians' movements in order to avoid accidents. Subaru plans to develop a next-generation system using its EyeSight Driver Assist Technology and artificial intelligence to recognize a traffic lane even when the white line on the roads cannot be seen. Level-2 technologies allow drivers to take their hands off the steering wheel under certain conditions, but drivers are still required to monitor the vehicle's driving at all times. Earlier this year, Toyota launched new models of its luxury sedan Lexus LS and hydrogen-powered Mirai that are equipped with level-2 assistant technologies.


How do Self-Driving Cars Work?

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Google's self-driving cars program, Waymo, has recorded the most successful run in the autonomous vehicles category, until now. More is expected in the AV domain in the coming years, something to wait and watch out for.


Safety officials are hitting the brakes on Tesla's push for automated cars

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Tesla is getting ready to roll out a software upgrade that will allow a select few drivers to use more autonomous driving features in cities. Up to now, the beta versions of driver assistance software made available to thousands of drivers in the US have been designed for the relatively more simple environment of highways. Computer-assisted urban driving would bring Tesla a step closer to CEO Elon Musk's vision of fully self-driving vehicles. But safety officials think the company is getting ahead of itself, and putting drivers at risk. "Basic safety issues have to be addressed before they're then expanding it to other city streets and other areas," Jennifer Homendy, chair of the National Transportation Safety Board, a federal agency that investigates transportation accidents, said in a Sept. 19 interview with The Wall Street Journal.


Want to develop a risk-management framework for AI? Treat it like a human.

#artificialintelligence

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Artificial intelligence (AI) technologies offer profoundly important strategic benefits and hazards for global businesses and government agencies. One of AI's greatest strengths is its ability to engage in behavior typically associated with human intelligence -- such as learning, planning, and problem solving. AI, however, also brings new risks to organizations and individuals, and manifests those risks in perplexing ways. It is inevitable that AI will soon face increased regulation.


The scientist and the AI-assisted, remote-control killing machine

The Japan Times

Iran's top nuclear scientist woke up an hour before dawn, as he did most days, to study Islamic philosophy before his day began. That afternoon, he and his wife would leave their vacation home on the Caspian Sea and drive to their country house in Absard, a bucolic town east of Tehran, where they planned to spend the weekend. Iran's intelligence service had warned him of a possible assassination plot, but the scientist, Mohsen Fakhrizadeh, had brushed it off. Convinced that Fakhrizadeh was leading Iran's efforts to build a nuclear bomb, Israel had wanted to kill him for at least 14 years. But there had been so many threats and plots that he no longer paid them much attention. Despite his prominent position in Iran's military establishment, Fakhrizadeh wanted to live a normal life. And, disregarding the advice of his security team, he often drove his own car to Absard instead of having bodyguards drive him in an armored vehicle. It was a serious breach of security protocol, but he insisted. So shortly after noon on Friday, Nov. 27, he slipped behind the wheel of his black Nissan Teana sedan, his wife in the passenger seat beside him, and hit the road.


Significance of Data Annotation for ADAS applications

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Vehicle safety is one of the major areas in which automakers are making considerable investments. Automobile manufacturers have created a number of technologies that can aid in the prevention of traffic accidents over the years. Advanced Driver Assistance Systems are technologies that automate, facilitate, and improve vehicular systems to assist drivers in safe and better driving (ADAS). Advanced driver assistance systems (ADAS) are technological safety measures that help drivers prevent on-road incidents by alerting them to potential risks. This allows the driver to quickly regain control of their vehicle, boosting their capacity to react to road hazards.


3 Artificial Intelligence Stocks to Buy Now

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Artificial intelligence is certainly one of the most fascinating technologies in the world today, as this cutting-edge innovation has so many different applications. Whether it's using machine learning to make companies more efficient, taking advantage of AI to improve consumer finance, or building self-driving vehicles that leverage this disruptive technology, it's quite evident that AI's use cases span far and wide across almost any industry. The global AI market is expected to grow at a compound annual growth rate of 40.2% from 2021 to 2028, which means it's hard not to be on board with companies involved in the adoption of this intriguing technology. With more and more organizations deciding to implement AI in some way and the global pandemic stimulating market growth of the industry with secular trends, adding shares of businesses at the forefront of AI could really pay off over the next few years. That's why we've put together a list of 3 artificial intelligence stocks to buy now to help investors make the right choices when adding exposure to this high-upside area of the tech sector.