The Autonomous flying drone uses the computer vision technology to hover in the air avoiding the objects to keep moving on the right path. Apart from security surveillance and Ariel view monitoring, AI drone is now used by online retail giant Amazon to deliver the products at customer's doorstep revolutionizing the transportation and delivery system by logistics and supply chain companies. Cogito and AWS SageMaker Ground Truth have partnered to accelerate your training data pipeline. We are organising a webinar to help you "Build High-Quality Training Data for Computer Vision and NLP Applications". After registering, you will receive a confirmation email containing information about joining the webinar.
A driverless car running on the road is like a screenshot from a sci-fi movie. However, fiction is becoming a reality, and thanks to #Artificial Intelligence (AI). AI technology complements the concept of self-driving cars. Elon Musk had in 2017 that all cars will be #autonomous in 10 years without any steering wheel. We are very close to bringing this estimate to reality in just 4 years.
A former Google engineer has been sentenced to 18 months in prison after pleading guilty to stealing trade secrets before joining Uber's effort to build robotic vehicles for its ride-hailing service. The sentence handed down Tuesday by U.S. District Judge William Alsup came more than four months after former Google engineer Anthony Levandowski reached a plea agreement with the federal prosecutors who brought a criminal case against him last August. Levandowski, who helped steer Google's self-driving car project before landing at Uber, was also ordered to pay more than $850,000. Alsup had taken the unusual step of recommending the Justice Department open a criminal investigation into Levandowski while presiding over a high-profile civil trial between Uber and Waymo, a spinoff from a self-driving car project that Google began in 2007 after hiring Levandowski to be part of its team. Levandowski eventually became disillusioned with Google and left the company in early 2016 to start his own self-driving truck company, called Otto, which Uber eventually bought for $680 million. He wound up pleading guilty to one count, culminating in Tuesday's sentencing.
Here's an astounding statistic: Between 2015 and 2019, global use of artificial intelligence grew by 270%. It's estimated that 85% of Americans are already using AI products daily, whether they now it or not. It's easy to conflate artificial intelligence with superior intelligence, as though machine learning based on massive data sets leads to inherently better decision-making. The problem, of course, is that human choices undergird every aspect of AI, from the curation of data sets to the weighting of variables. Usually there's little or no transparency for the end user, meaning resulting biases are next to impossible to account for.
Russia's leaders have been paying close attention to artificial intelligence (AI) technologies for several years now. President Vladimir Putin has said on numerous occasions that the leader in the field of AI would become "the master of the world." Until recently, however, Russia remained virtually the only large country without its own AI development strategy. That changed in October 2019, when the country adopted a long-discussed National Strategy for the Development of Artificial Intelligence Through 2030. One of the driving forces behind the strategy was Sberbank president German Gref. The state-owned bank has also developed a road map for developing AI in Russia and coordinated the creation of Russia's AI development strategy, which is largely corporate, involving the internet giants Yandex and Mail.ru
There's a fairly large flaw in the way that programmers are currently addressing ethical concerns related to artificial intelligence (AI) and autonomous vehicles (AVs). Namely, existing approaches don't account for the fact that people might try to use the AVs to do something bad. For example, imagine that there is an autonomous vehicle with no passengers and it is about to crash into a car containing five people. It can avoid the collision by swerving out of the road, but it would then hit a pedestrian. Most discussions of ethics in this scenario focus on whether the autonomous vehicle's AI should be selfish (protecting the vehicle and its cargo) or utilitarian (choosing the action that harms the fewest people). But that either/or approach to ethics can raise problems of its own, according to Veljko Dubljević, an assistant professor in the Science, Technology & Society program at North Carolina State University.
Artificial Intelligence (AI) is not the one that is borne by the overwhelming science fiction vision. In the near future, we will see almost every area of life in order to make our activities more effective and interactive. According to China's search engine, Baidu's top researcher, "Reliability of speech technology approaches the point we will only use and do not even think about." Andrew Ng says the best technology is often invisible, and speech recognition will disappear in the background as well. Baidu is currently working on more accurate speech recognition and more efficient sentence analysis, which expects sound technologies to be able to interact with multiple devices such as household appliances.
US District Judge William Alsup has sentenced Anthony Levandowski, the former lead Waymo engineer at the heart of a trade secret legal battle between the Alphabet subsidiary and Uber, to 18 months in prison. Prosecutors sought a 27-month sentence, while Levandowski requested a one-year home confinement, telling the court that his recent bouts with pneumonia makes him susceptible to COVID--19. According to TechCrunch, Alsup shot his request down, explaining that home confinement and a short prison sentence "[give] a green light to every future brilliant engineer to steal trade secrets. That said, he allowed Levandowski to enter custody once the pandemic has subsided. Alphabet filed a lawsuit against Uber in 2017, accusing the company of colluding with its former employee to steal secrets from Waymo. While Levandowski didn't immediately join Uber after leaving the Google division that eventually became Waymo, the ride-hailing titan quickly acquired the self-driving truck startup he founded. In its lawsuit, Alphabet said its former employee downloaded over 14,000 confidential and proprietary design files for various Waymo hardware, including its LiDAR system. The two companies reached a settlement in 2018, with Waymo making sure that Uber would develop its own self-driving technology. In mid--March this year, Levandowski agreed to plead guilty to one count of stealing materials from Google to make other criminal charges go away. "The last three and a half years have forced me to come to terms with what I did.
With evolving technologies, intelligent automation has become a top priority for many executives in 2020. Forrester predicts the industry will continue to grow from $250 million in 2016 to $12 billion in 2023. With more companies identifying and implementation the Artificial Intelligence (AI) and Machine Learning (ML), there is seen a gradual reshaping of the enterprise. Industries across the globe integrate AI and ML with businesses to enable swift changes to key processes like marketing, customer relationships and management, product development, production and distribution, quality check, order fulfilment, resource management, and much more. AI includes a wide range of technologies such as machine learning, deep learning (DL), optical character recognition (OCR), natural language processing (NLP), voice recognition, and so on, which creates intelligent automation for organizations across multiple industrial domains when combined with robotics.
Technologies powered by artificial intelligence, such as chatbots and personalized shopping suggestions, have become more common in recent years, leading many consumers to embrace artificial intelligence. Such human-centered AI analyzes data through the lens of human behavior, which in turn allows companies to better understand their customer base. As this technology develops and becomes more integrated into our daily lives, the future of human-centered AI is looking brighter than ever. Below, the members of Forbes Technology Council share 13 exciting future uses of human-centered AI to keep an eye on. Because we have the opportunity to teach and train the AI of the future, we have a unique opportunity to define AI for all.