If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
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.
It's no secret that healthcare costs have risen faster than inflation for decades. Some experts estimate that healthcare will account for over 20% of the US GDP by 2025. Meanwhile, doctors are working harder than ever before to treat patients as the U.S. physician shortage continues to grow. Many medical professionals have their schedules packed so tightly that much of the human element which motivated their pursuit of medicine in the first place is reduced. In healthcare, artificial intelligence (AI) can seem intimidating.
Citizen scans thousands of public first responder radio frequencies 24 hours a day in major cities across the US. The collected information is used to provide real-time safety alerts about incidents like fires, robberies, and missing persons to more than 5M users. Having humans listen to 1000 hours of audio daily made it very challenging for the company to launch new cities. To continue scaling, we built ML models that could discover critical safety incidents from audio. Our custom software-defined radios (SDRs) capture large swathes of radio frequency (RF) and create optimized audio clips that are sent to an ML model to flag relevant clips.
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.
Artificial Intelligence rewards organizations in outcome-driven ways as it brought numerous achievements across the globe within the past few years. AI has certainly given rise to the situation of classifying between a human and a digital worker with its cutting-edge technology such as chatbots, robots, AI-led cybersecurity, intelligent emotion detection, etc. Now, there is a huge demand for digitization of organizations to meet the growing competition. This technology trend is expected to grow faster and deeper in promising ways in 2020 and the upcoming years. What can we look forward to?
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.
A Seoul National University Master's student and developer has trained a face generating model to transfer normal face photographs into cartoon images in the distinctive style of Lee Mal-nyeon. The student (GitHub user name: bryandlee) used webcomics images by South Korean cartoonist Lee Mal-nyeon (이말년) as input data, building a dataset of malnyun cartoon faces then testing popular deep generative models on it. By combining a pretrained face generating model with special training techniques, they were able to train a generator at 256 256 resolution in just 10 hours on a single RTX 2080ti GPU, using only 500 manually annotated images. Since the cascade classifier for human faces provided in OpenCV-- a library of programming functions mainly aimed at real-time computer vision -- did not work well on the cartoon domain, the student manually annotated 500 input cartoon face images. The student incorporated FreezeD, a simple yet effective baseline for transfer learning of GANs proposed earlier this year by KAIST (Korea Advanced Institute of Science and Technology) and POSTECH ( Pohang University of Science and Technology) researchers to reduce the burden of heavy data and computational resources when training GANs. The developer tested the idea of freezing the early layers of the generator in transfer learning settings on the proposed FreezeG (freezing generator) and found that "it worked pretty well."
Though society has outgrown most cliché tropes that surrounded online dating in its early years, believing that meeting online can grow into a genuine connection can still be hard. If any dating sites can rekindle your hope that there's someone out there who wants the same thing you do, Match and eharmony are it. Technically speaking, online dating amplifies your selection of potential love interests to people you would never have stumbled upon IRL. It's the obvious next step after you've exhausted the qualified singles in your local dating pool, and the pandemic has made online dating an even more ubiquitous way to meet people than it already was. Since social distancing has essentially made hookups with strangers a non-issue, weeding out people who aren't taking dating seriously is easier than ever.
Former Uber engineer Anthony Levandowski has been sentenced to 18 months' imprisonment after pleading guilty to stealing trade secrets from Waymo, Google's self-driving car division. He's also agreed to pay over $756,000 to the company, plus a fine of $95,000 -- which will be a feat considering Levandowski's already been bankrupted by a $179 million judgment against him for poaching Google employees. "The last three and a half years have forced me to come to terms with what I did," Levandowski said in a statement. "I want to take this time to apologize to my colleagues at Google for betraying their trust, and to my entire family for the price they have paid and will continue to pay for my actions." Levandowski faced a potential 30 months in prison after pleading guilty to one charge of trade secret theft back in March.