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) …
Nvidia is launching its EGX Platform to bring real-time artificial intelligence to the edge of the network. This means AI computing will happen where sensors collect data before it is sent to cloud-connected datacenters. "There's a massive change in the computing industry being driven by growth of [internet of things] sensors," said Justin Boitano, senior director of enterprise and edge computing, in a press briefing. "There are cameras for seeing the world, microphones for hearing the world, and devices being deployed so machines can detect what is happening in the real world." But this also means there's an exponential increase in the amount of raw data that has to be analyzed.
When most people think of machine learning in relation to themselves, something like the auto-correct peppered throughout their texts might come to mind. But these technologies are integrated into so many industries that touch us daily. In my previous article linked below, I talk about the broad strokes of machine learning by looking into the technologies of self driving cars, healthcare, and briefly touched on the YouTube algorithm. In this article, I'll be diving farther into that last concept by approaching three different violations of terms and services on a social media platform and the role that machine learning has in mitigating any hardships caused by these violations. To fully understand the decision making behavior, we must go over the basics of these algorithms.
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More state investment will be set aside for artificial intelligence going forward, the cabinet announced on Thursday. Part of the government's newly-published Dutch Digitalisation Strategy, the investment strategy aims to ensure that the Netherlands retains its position as a digital frontrunner in Europe, according to the cabinet.The Dutch AI Coalition, which was launched in October of 2019 and contains 350 members, received a cash injection of 23.5 million euros on Thursday to in order to research and develop artificial intelligence technologies, the Cabinet announced, adding that the 64 million euros invested in the coalition in 2019 will be doubled this year. A statement on the government website explains the reason new interest in AI technologies. "To keep the Netherlands as the digital leader of Europe, companies, consumers and governments will have to react quicker and be more innovative to the high speeds that society and the economy is digitalizing," the Cabinet stated. "AI promises, provided that people can trust that it will be used carefully, that it is an important basis for innovation in care, energy, mobility, agriculture and food, manufacturing and education.
The ethics of artificial intelligence is part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into robo-ethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, which is concerned with the moral behavior of artificial moral agents (AMAs). Algorithmic bias describes systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. Bias can emerge due to many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected, or used to train the algorithm. Algorithmic bias is found across platforms, including but not limited to search engine results and social media platforms, and can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity.
Bluware Corp, the digital innovation platform that enables the oil and gas industry to accelerate digital transformation initiatives using deep learning, is pleased to announce a new agreement with BP (NYSE: BP). Bluware's technology will help BP to improve quality and speed when delivering seismic interpretation products. "BP recognizes the significant impact advances in digital technology can bring and we are pleased to implement Bluware InteractivAI, a new and innovative deep learning technology, augmenting our geoscientists' ability to accelerate subsurface data interpretation," says Ahmed Hashmi, Upstream Chief Digital and Technology Officer at BP. Large seismic data sets are difficult to move and use in workflows and time consuming to interpret. InteractivAI, powered by Bluware Volume Data Store (VDS) cloud-native data environment, enables the acceleration of detailed interpretation tasks. With this tool geoscientists can now train and correct deep learning results interactively, significantly improving structural interpretation workflows.
Artificial Intelligence (AI) is changing the world. Many industries have already been impacted by the integration of AI technology to improve business processes, but that's only the beginning. Through the use of big data, machine learning, and the Internet of Things (IoT), AI captures the ability to think and make decisions like a human would -- but on a massive scale. Correspondingly, this technology has found a use in almost every sector of industry. Education, healthcare, human resources, marketing, and supply chain management have changed and continue to develop through the use of AI technology.
Artificial Intelligence has transformed the digital landscape, such as Google's RankBrain personalising recommendations by Amazon. Artificial Intelligence (AI) is rapidly becoming essential in the day-to-day happenings of the digital world, with marketing and advertising being no exception. The idea of AI may bring to mind 60's sci-fi with futuristic robots, but it's really about so much more. With proper understanding and analysis of data and input, AI is playing a crucial role in identifying marketing trends. Brands and marketers are incorporating Machine Learning and Artificial Intelligence to save time and resources.
MIM Software Inc., a leading global provider of medical imaging software, announced it has received 510(k) clearance from the US Food and Drug Administration (FDA) for its deep learning auto-contouring software, Contour ProtégéAI . Contour ProtégéAI is an auto-contouring solution that seamlessly integrates into any department's workflow and can be rapidly implemented into virtually any environment. User feedback and a determination to continuously improve auto-segmentation were key drivers in developing the product. "Our customers are under continual pressure to improve their practices while facing escalating time constraints," said Andrew Nelson, Chief Executive Officer of MIM Software Inc. "Our deep learning auto-segmentation product, Contour ProtégéAI, will play a critical role in reducing the burden of contouring." Auto-contouring is an ideal use case for deep learning algorithms because it is one of the most time-consuming clinical tasks.