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) …
Technology giant Cisco has unveiled a new Internet of Things (IoT) security architecture with the goal of protecting processes and increasing visibility in numerous industries. Aside from the obvious security benefits, increased visibility can also help executive make better, informed choices. The innovations within the IoT security architecture include Cisco Cyber Vision, which secures the industrial network environment, and Cisco Edge Intelligence, essentially data governance from edge to the multi-cloud. Cisco Cyber Vision is a solution for automated discovery of industrial assets. It analyses traffic from connected devices, creates segmentation policies to prevent hackers from moving laterally throughout the network and provides real-time monitoring of cybersecurity threats to assets.
Artificial intelligence (AI) can be used to identify outbreaks such as the coronavirus, which, to date, has resulted in nearly 1,800 reported deaths and more than reported 71,000 infections. In a February 13 webinar, Casey Ross, national technology correspondent for STAT, pointed to efforts by John Brownstein, PhD, chief innovation officer at Boston Children's Hospital, to use machine learning to review social media posts, reports by physicians, news outlets, and information released by official public health entities to assess the condition's outbreak beyond China's borders. Brownstein's work is proof that AI is showing its value in tracking the outbreak of the disease, says Ross. Closer to home, healthcare systems around the country use AI to inform operational tasks such as scheduling. Some healthcare organizations use AI to pinpoint patients who need additional care, says Ross. For example, it's used in sepsis detection and prediction, the assessment of readmission risk, and the identification of patients who are deteriorating.
VATICAN CITY (Reuters) - The Vatican joined forces with tech giants Microsoft and IBM on Friday to promote the ethical development of artificial intelligence (AI) and call for regulation of intrusive technologies such as facial recognition. The three said AI should respect privacy, work reliably and without bias, consider human rights and operate transparently. Pope Francis, who has raised concerns about the uncontrolled spread of AI technologies, gave his backing in a speech read on his behalf at a conference attended by Microsoft president Brad Smith (MSFT.O) and IBM (IBM.N) Executive Vice President John Kelly. The pope is ill and could not deliver the address himself. Calling for the ethical development of algorithms, known as "algor-ethics", Francis warned about the dangers of AI being used to extract data for commercial or political ends, often without the knowledge of individuals.
Sign in to report inappropriate content. The Webex Desk Pro is the most advanced, AI powered collaboration device for the desk. Purpose-built for collaboration, the Webex Desk Pro features a stunning 4K touch display, HD camera, superior sound system and noise-canceling microphone array. Enjoy advanced collaboration features like digital whiteboarding, virtual backgrounds, facial recognition and Webex Assistant. Visit Cisco.com to learn more: http://cisco.com/go/deskpro
Radiologists getting an assist from artificial intelligence can detect more breast cancer--with a reduced rate of false positive incidents--from mammography images. A new study, published late last week in the Lancet Digital Health online journal, contends that AI can boost the accuracy of diagnosis by radiologists, compared with the results they achieve by just examining images from mammography exams. The study was conducted by Korean academic hospitals and Lunit, a Seoul-based medical AI company working in radiology and oncology. It draws on large-scale data of more than 170,000 mammogram examinations from five healthcare organizations in South Korea, the U.S. and the U.K. The set of data includes more than 36,000 cases found positive for cancer and verified by biopsies. That data trained the AI models, and the sensitivity of the model was compared with how radiologists perform without any technological assistance with diagnosis.
America's companies and universities innovate like no other places on earth. We are garage start-ups, risk-taking entrepreneurs and intrepid scholars exploring new advances in science and technology. But that is only part of the story. Many of Silicon Valley's leaders got their start with grants from the federal government -- including me. My graduate work in computer science in the 1970s and '80s was funded in part by the National Science Foundation and the Defense Advanced Research Projects Agency.
Join our Vivit Ohio Vivit Local User Group and Micro Focus for discussion about the latest innovations in artificial intelligence and machine learning as they relate to quality assurance and functional testing, and how they will address and solve the continuous delivery issues facing the software industry today. The event, hosted by Micro Focus in partnership with Vivit will be held at Springhill Suites & Townhouse Suites in Columbus. Come have breakfast on us!
As a part of ProgrammableWeb's ongoing series of on-demand re-broadcasts of presentations that are given at the monthly Washington, DC-Area API meetup (anyone can attend), this article offers a video recording, and audio-only podcast, and a full transcript of the Feb 4, 2020 discussion given by Capital One's director of API and Event Streaming Platform Services Matthew Reinbold. As of late, Reinbold has been investing a significant amount of his time into learning more about the application and implications of artificial intelligence (AI) in the enterprise. As Reinbold points out in his presentation (embedded below), the subject of AI covers and expansive waterfront with dozens of new papers being published about the topic on a nearly daily basis. It's far too much for any one human to consume and so it helps to narrow one's studies down to a one or more specialized niches. Given his enterprise roots, Reinbold's area of interest naturally drifted towards machine learning (ML).
In 2020, it's safe to assume that any photo uploaded and made public to the internet will be analyzed by facial recognition. Not only do companies like Google and Facebook apply facial recognition as a feature, but companies like Clearview AI have been discreetly scraping images from the public internet in order to sell facial recognition technology to police for years. Now, A.I. researchers are starting to think about how technology can solve the problem it created. These algorithms aren't the solution to privacy on the web -- and they don't claim to be. But they're tools that, if adopted by online platforms, could claw back a little of the privacy typically lost by posting images online.
The developers of the dating app Tinder recently announced that new safety features would be added to its app throughout 2020. These updates include a means to connect users with emergency services when they feel unsafe and more safety information provided through the app. Given that many users, especially women, experience harassment, sexism and threatening behaviour on Tinder, these appear to be positive steps to addressing such issues. Tinder also mentioned app updates will incorporate artificial intelligence (AI) to validate profile photos. "The [AI] feature allows members to self-authenticate through a series of real-time posed selfies, which are compared to existing profile photos using human-assisted AI technology."