Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
Get Robotics Certification taking the Online Robotics Degree Programs. However, you can get an online Robotics Degree from a lot of places like Coursera, Udemy, EDx, Futurelearn, and so on. One of the robotics tutorials for beginners to advanced. Learn Robotics online to open career opportunities and have fun to learn electronics focused on building robot automation! An autonomous light-seeking an obstacle avoiding robot for Arduino Makers that want to learn the hard way!
Waymo's autonomous vehicles were put through the gnarly paces of 72 simulations of fatal crashes for safety research. The Google spinoff company, which operates its self-driving car service in the area just outside Phoenix, released a study Monday showing how its autonomous vehicles would respond during unsafe driving situations. The company collected crash information from 72 real fatal crashes with human drivers at the wheel that took place in the Chandler, Arizona, area between 2008 and 2017. Researchers reconstructed them in a virtual simulation, with the Waymo vehicle replacing both the car that initiated the crash (called "the initiator" in the study) and the car responding ("the responder"). With Waymo replaced virtually in both positions of the crash, the company ran enough simulations (91 of them, to be exact, since some of the crashes involved just one car) to understand how its autonomous platform would respond in the situation.
To determine how close humans and robots can become, we need a clear understanding of what, exactly, friendship is, and defining friendship isn't easy. Our friendships are made, maintained, and repaired all the time. Hopefully, we all have friends and believe, deep in our hearts, that the one ship that won't sink is friendship. Although friendship plays such a profound role in our lives that research links it to both emotional and physical well-being, people disagree about what makes friendship special and how far the bonds can go. Can we be friends with people who do things we find unconscionable?
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?
Founder and CEO of PurchaseControl, with decades of international experience in Procurement, Spend Management, and Technology. Often, discussions concerning digital transformation in modern enterprise focus primarily on virtual tools driven by artificial intelligence -- e.g., robotic process automation, data digitization and analytics, machine learning, etc. However, in considering the ways in which procurement professionals can build value and create savings for their organizations through digital transformation, we must also consider the technologies connecting that transformation to the physical world via Industry 4.0. The idea of Industry 4.0 comes from the broader notion of the Fourth Industrial Revolution (4IR). Building upon its predecessors, 4IR introduced new technologies -- automation, digitalization, artificial intelligence, cloud computing -- that fundamentally transformed work, life and play for billions of people.
Honda launched a self-driving car in Japan on Friday. Japanese automaker Honda has launched a limited roll-out of its new Legend, which it calls the most advanced driverless vehicle licensed for the road, in Japan. The Legend's capabilities include adaptive driving in lanes, passing and switching lanes in certain conditions, and an emergency stop function if a driver is unresponsive to handover warnings. The Legend's autonomy is rated Level 3 on a scale of 0 to 5; analysts said a true Level 4 vehicle, in which a car no longer requires a driver at all, is a long time off.
In brief US government should avoid hastily banning AI-powered autonomous weapons and instead step up its efforts in developing such systems to keep up with foreign enemies, according to the National Security Commission on AI. The independent group headed by ex-Google CEO Eric Schmidt and funded by the Department of Defense has published its final report advising the White House on how best to advance AI and machine learning to stay ahead of its competitors. Stretching over 750 pages, the report covers a lot of areas, including retaining talent, the future of warfare, protecting IP, and US semiconductor supply chains. The most controversial point raised by Schmidt and the other advisors was that America should not turn its back on autonomous AI weapons. The US government should actually be building its own systems to deter other countries from wreaking havoc, it argued.
Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision system can be deceived by tools no more sophisticated than a pen and a pad. As illustrated in the image above, simply writing down the name of an object and sticking it on another can be enough to trick the software into misidentifying what it sees. "We refer to these attacks as typographic attacks," write OpenAI's researchers in a blog post. "By exploiting the model's ability to read text robustly, we find that even photographs of hand-written text can often fool the model." They note that such attacks are similar to "adversarial images" that can fool commercial machine vision systems, but far simpler to produce.
This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEO's to accelerate their duty of care to develop stronger skills and competencies in AI in order to ensure their AI programs achieve sustaining results. In this blog series, I have identified forty skill domains in an AI Leadership Brain Trust Framework to guide board directors and CEO's to ensure they can develop and accelerate their investments in successful AI initiatives. You can see the full roster of the forty leadership Brain Trust skills in my first blog. Each of the blogs in this series explores either a group of skills or does a deeper dive into one of the skill areas. I have come to the conclusion that to unlock the last mile of AI value realization that board directors and CEOs must accelerate building a unified brain trust (a unified set of leadership skills that are hardwired in relevant digital and AI skills) to modernize their organizations more rapidly.
To celebrate International Women's Day, we take a look back over the past year of AIhub content and highlight some of our favourite articles, interviews, podcasts and videos, by, or featuring, women in the field. Falaah Arif Khan is an engineer/scientist by training and an artist by nature. She is currently Artist-in-Residence at the Center for Responsible AI at New York University. When we interviewed Falaah in 2020 she had just completed her first comic book, Meet AI. She has since teamed up with other AI researchers on other exciting projects.