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Trucks Move Past Cars on the Road to Autonomy

WIRED

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.


Trends in ... materials handling/warehouse safety

#artificialintelligence

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?


Is GitHub Copilot worth the cockpit?

#artificialintelligence

One month ago, GitHub announced its latest, shiny product: an artificial intelligence tool developed by GitHub and OpenAI to assist users of Visual Studio Code by autocompleting code, but on the next level. It's a machine learning-powered software that can write code by itself, generating quite impressive programming functions. Here is the catch, there are a lot of dislikes going on for this cute little fellow. And I don't get why so much hate for this, how can you not like something like this in the market, and that too for free. Let's address them one by one So many articles are flooding to criticize, just for the sake of writing something.


Pinaki Laskar on LinkedIn: #MLOps #AI #machinelearning

#artificialintelligence

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.


China Roundup: Kai-Fu Lee's first Europe bet, WeRide buys a truck startup – TechCrunch

#artificialintelligence

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.


Alphabet's Intrinsic aims to unlock industrial robotics' economic potential

#artificialintelligence

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.


When Smart Cars make Bad Choices

#artificialintelligence

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.


Global Big Data Conference

#artificialintelligence

In the United States, an estimated 114,000 people were waiting for organ transplants, and only 30% of those got their organs on time in 2019. According to Kaiser Health News and Reveal from the Center of Investigative Reporting, nearly 170 organs could not be transplanted. Almost 370 endured near misses with delays of two hours or more because of transportation problems. According to the American Transplant Foundation, 20 people die each day because they do not receive their lifesaving organs in time, making the number of annual deaths greater than 40,000. Patti Niles is CEO of Southwest Transplant Alliance, a non-profit organ procurement organization.


RTA uses artificial intelligence, high-tech to improve bus services

#artificialintelligence

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.


Is Artificial Intelligence The New Logistics Technology For Organ Transportation?

#artificialintelligence

Commercial Aviation has great importance in the ... [ ] transport of organs for transplants in receiving patients. Studies show that commercial air carriers carry more than 9,000 organs a year on board airplanes with passengers. In the United States, an estimated 114,000 people were waiting for organ transplants, and only 30% of those got their organs on time in 2019. According to Kaiser Health News and Reveal from the Center of Investigative Reporting, nearly 170 organs could not be transplanted. Almost 370 endured near misses with delays of two hours or more because of transportation problems.