Robotics & Automation


The renaissance of silicon will create industry giants – TechCrunch

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Every time we binge on Netflix or install a new internet-connected doorbell to our home, we're adding to a tidal wave of data. In just 10 years, bandwidth consumption has increased 100 fold, and it will only grow as we layer on the demands of artificial intelligence, virtual reality, robotics and self-driving cars. According to Intel, a single robo car will generate 4 terabytes of data in 90 minutes of driving. That's more than 3 billion times the amount of data people use chatting, watching videos and engaging in other internet pastimes over a similar period. Tech companies have responded by building massive data centers full of servers.


A Brief History of AI, From French Philosophy to Self-Driving Cars - Dell Technologies

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And yet, AI's current automated task-mastering was first posited by the French philosopher René Descartes almost 400 years ago. Descartes, who famously coined, "I think, therefore I am," pondered about the ability of machines to reason. While machines may be able to "do some things as well, or better, than humans, they would inevitably fail in others," whereas human reason can universally adapt to any task. Though Descartes' idea of machines differs from today's reality, some say he threw down the gauntlet for what we now refer to as general AI--or machines that can think like humans. Though Descartes' idea of machines differs from today's reality, some say he threw down the gauntlet for what we now refer to as general AI--or machines that can think like humans.


Business Basics for Data Scientists

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Machine Learning helps your company create entirely new products to increase revenue. An example is new mobility services powered by self-driving cars, also called Robo-Taxi. Without Machine Learning, this new product is hard to create. In this case, Machine Learning allows the company to develop an entirely new product to increase revenue. The holy grail of Artificial Intelligence ("AI")-powered products is a product that enters the Virtuous Circle of AI.


Big data, big change

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Robots, in the past, were limited to performing some assigned prototype jobs by machines. These machines worked on preloaded instructions, and many were open-loop systems wherein, corrective measures were not included in the coded instructions. As the generations of robots are evolving, feedback systems with artificial intelligence (AI) have become an integral part for the robots. This new trend has resulted in a revolution in robotics which includes machine learning as a part of AI and robotics. Robotics is now not just limited to factories, industries and corporates to perform pre-assigned jobs, but have entered every aspect of life, including social life.


Big data, big change

#artificialintelligence

Robots, in the past, were limited to performing some assigned prototype jobs by machines. These machines worked on preloaded instructions, and many were open-loop systems wherein, corrective measures were not included in the coded instructions. As the generations of robots are evolving, feedback systems with artificial intelligence (AI) have become an integral part for the robots. This new trend has resulted in a revolution in robotics which includes machine learning as a part of AI and robotics. Robotics is now not just limited to factories, industries and corporates to perform pre-assigned jobs, but have entered every aspect of life, including social life.


UPS Has Been Delivering Cargo in Self-Driving Trucks for Months And No One Knew

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The self-driving freight truck startup TuSimple has been carrying mail across the state of Arizona for several weeks. UPS announced on Thursday that its venture capital arm has made a minority investment in TuSimple. The announcement also revealed that since May TuSimple autonomous trucks have been hauling UPS loads on a 115-mile route between Phoenix and Tucson. UPS confirmed to Gizmodo this is the first time UPS has announced it has been using TuSimple autonomous trucks to deliver packages in the state. Around the same time as the UPS and TuSimple program began, the United States Postal Service and TuSimple publicized a two-week pilot program to deliver mail between Phoenix and Dallas, a 1,000 mile trip.


What's Artificial Intelligence (AI)?

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Artificial Intelligence is a topic that has been getting a lot of attention, mostly because of the rapid improvement that this field has seen since the turn of the 21st century. Amazing innovations are laying the foundation for ongoing breakthrough achievements. In this article, I'm going to focus on three specific topics: In the 1950s, AI pioneers Minsky and McCarthy described artificial intelligence as any task performed by a program or a machine that, was it performed by a human, would have required that human to apply intelligence to accomplish the task. This is a fairly broad description. Nowadays, all tasks associated with human intelligence are described as AI when performed by a computer.



Autonomous Driving: Hype or Reality?

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In recent years, autonomous driving and so-called robotaxis have become one of the hottest topics in the automotive industry - and beyond! Recent autonomous vehicle forecasts call for sales of more than 30 million autonomous vehicles in 2040. Although the sharpest gains are expected to occur after 2030 compared to one million in 2025, commercial market introduction is announced by several OEMs for 2021. Traditional car manufacturers and established suppliers are not the only ones who are trying hard to find the sweet spots in this new emerging mobility value chain. Tech giants like Nvidia and Intel, leading software and internet players like Google (Waymo) and new mobility startups such as Aurora, Cruise and Uber are also on the verge of reaping the rewards of an entirely new future mobility era.


Researchers at Argonne are developing the deep learning framework MaLTESE (Machine Learning Tool for Engine Simulations and Experiments) to meet ever-increasing demands to deliver better engine performance, fuel economy and reduced emissions.

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Utilizing ALCF supercomputing resources, Argonne researchers are developing the deep learning framework MaLTESE with autonomous -- or self-driving -- and cloud-connected vehicles in mind. This work could help meet demand to deliver better engine performance, fuel economy and reduced emissions. Researchers used nearly the full capacity of the ALCF's Theta system to simulate a typical 25-minute drive cycle of 250,000 vehicles. Researchers at Argonne are developing the deep learning framework MaLTESE (Machine Learning Tool for Engine Simulations and Experiments) to meet ever-increasing demands to deliver better engine performance, fuel economy and reduced emissions. Automotive manufacturers are facing an ever-increasing demand to deliver better engine performance, fuel economy and reduced emissions.