In 2016, three veterans of the still young autonomous vehicle industry formed Aurora, a startup focused on developing self-driving cars. Partnerships followed with major automakers, including Hyundai and Volkswagen. CEO Chris Urmson said at the time that the link-ups would help the company bring "mobility as a service" to urban areas--Uber-like rides without a human behind the wheel. But by late 2019, Aurora's emphasis had shifted. It said self-driving trucks, not cars, would be quicker to hit public roads en masse. Its executives, who had steadfastly refused to provide a timeline for their self-driving-car software, now say trucks equipped with its "Aurora Driver" will hit the roads in 2023 or 2024, with ride-hail vehicles following a year or two later.
Moving products from delivery trucks to storage areas, then to shelves, is hazardous work. Forklift incidents, lifting injuries and falling objects are some of the hazards workers face. Data from the Bureau of Labor Statistics shows that 10 occupations accounted for 33.2% of all private industry cases involving days away from work in 2018 and 2019. Of these, laborers and freight, stock, and material movers (hand) had the highest number of DAFW cases: 64,160. So, how can employers prevent injuries among warehouse workers or other workers who move materials?
AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Why #MLOps is the key for productionized ML system? ML model code is only a small part ( 5–10%) of a successful ML system, and the objective should be to create value by placing ML models into production. F1 score) while stakeholders focus on business metrics (e.g. Improving labelling consistency is an iterative process, so consider repeating the process until disagreements are resolved as far as possible. For instance, partial automation with a human in the loop can be an ideal design for AI-based interpretation of medical scans, with human judgement coming in for cases where prediction confidence is low.
Hello and welcome back to TechCrunch's China Roundup, a digest of recent events shaping the Chinese tech landscape and what they mean to people in the rest of the world. Despite the geopolitical headwinds for foreign tech firms to enter China, many companies, especially those that find a dependable partner, are still forging ahead. For this week's roundup, I'm including a conversation I had with Prophesee, a French vision technology startup, which recently got funding from Kai-Fu Lee and Xiaomi, along with the usual news digest. Like many companies working on futuristic, cutting-edge tech in Europe, Prophesee was a spinout from university research labs. Previously, I covered two such companies from Sweden: Imint, which improves smartphone video production through deep learning, and Dirac, an expert in sound optimization.
All the sessions from Transform 2021 are available on-demand now. Google parent Alphabet has spun out a new industrial robotics company called Intrinsic. Led by Wendy Tan-White, a veteran entrepreneur and investor who has served as VP of "moonshots" at Alphabet's R&D business X since 2019, Intrinsic is setting out to "unlock the creative and economic potential" of the $42 billion industrial robotics market. The company said it's creating "software tools" to make industrial robots more affordable and easier to use, extending their utility beyond big businesses and to more people -- 70% of the world's manufacturing currently takes place in just 10 countries. Industrial robots have surged in demand over the past year in the wake of the pandemic -- in Q1 this year, the Association for Advancing Automation reported a 19.6% increase in orders across North America alone.
Its 2030 and a SUV driven by an Autonomous Driving System (ADS) is heading west on a highway. The SUV contains two parents in the front seats and two small children in the back seat. The SUV is going the speed limit of 100 km/hour. The SUV drives through a tight corner and as the SUV makes the final turn a large bull moose weighing over six hundred kilograms shambles onto the road. The autonomous driving system driving the SUV was trained to select the best alternative out of as set of possible outcomes and so the SUV abruptly swerves into the left lane currently occupied by a small sedan going the same speed as the SUV. The SUV ADS had determined that saving the lives of two adults and two children was the greater good even though there was a significant risk that the small sedan would be forced into oncoming traffic travelling East putting the two adult occupants at mortal risk.
His Excellency Mattar Mohammed Al Tayer, Director-General, Chairman of the Board of Executive Directors of Roads and Transport Authority (RTA), revealed that RTA's precautionary measures and initiatives applied to the scheduling and the operation of public buses, marine transit means and taxis had accelerated the recovery from the Covid-19 pandemic. He stated that such measures contributed to restoring the growth of public transport ridership to 70% of the pre-Covid-19 levels. They also contributed to reducing the number of kilometres travelled by 18%, improving bus on-time arrival by 6%, and cutting carbon emissions by 34 metric tons. "In cooperation with Alibaba Cloud, RTA has recently started trialling the'City Brain' system to manage traffic in urban areas using artificial intelligence and advanced algorithms. The system analysis a massive number of big data received from nol cards, operating buses and taxis as well as the Enterprise Command and Control Centre. Then it converts the data into useful information that could be used in sending instant notifications and improving bus schedules and routes. The system is expected to improve the bus ridership by 17%, average waiting time by 10%, and the journey time and the average bus usage by 5%," stated Al Tayer.
In a perfect world, what you see is what you get. If this were the case, the job of Artificial Intelligence systems would be refreshingly straightforward. Take collision avoidance systems in self-driving cars. If visual input to on-board cameras could be trusted entirely, an AI system could directly map that input to an appropriate action--steer right, steer left, or continue straight--to avoid hitting a pedestrian that its cameras see in the road. But what if there's a glitch in the cameras that slightly shifts an image by a few pixels? If the car blindly trusted so-called'adversarial inputs,' it might take unnecessary and potentially dangerous action.
Self-driving features have been creeping into automobiles for years, and Tesla (TSLA) even calls its autonomous system "full self-driving." That's hype, not reality: There's still no car on the market that can drive itself under all conditions with no human input. But researchers are getting close, and automotive supplier Mobileye just announced it's deploying a fleet of self-driving prototypes in New York City, to test its technology against hostile drivers, unrepentant jaywalkers, double parkers, omnipresent construction and horse-drawn carriages. The company, a division of Intel (INTC), describes NYC as "one of the world's most challenging driving environments" and says the data from the trial will push full self-driving capability closer to prime time. In an interview, Mobileye CEO Amnon Shashua said fully autonomous cars could be in showrooms by the end of President Biden's first term.
Due to the recent adaptive quarantine measures imposed in virtually all parts of the world, air travel, public transportation, and many other sectors took a really big hit in 2020. However, the automotive world and autonomous vehicles, in particular, have shown increased resilience during this difficult time. In fact, companies like Ford have increased their investments in the development of electric and self-driving cars by allocating $29 billion dollars in the fourth quarter of last year. Specifically, $7 billion of that money will go towards the development of self-driving cars. So Ford is joining General Motors, Tesla, Baidu, and other automakers in heavily investing in autonomous vehicles.