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) …
Artificial intelligence is largely a numbers game. When deep neural networks, a form of AI that learns to discern patterns in data, began surpassing traditional algorithms 10 years ago, it was because we finally had enough data and processing power to make full use of them. Today's neural networks are even hungrier for data and power. Training them requires carefully tuning the values of millions or even billions of parameters that characterize these networks, representing the strengths of the connections between artificial neurons. The goal is to find nearly ideal values for them, a process known as optimization, but training the networks to reach this point isn't easy.
Melior Motion's planetary gearboxes are used in industrial robots with medium to high payload capacities. Schaeffler Group, an automotive and industrial supplier, signed an agreement to acquire all shares of Melior Motion for an undisclosed amount. With the acquisition of Melior Motion, Schaeffler adds more powerful gearboxes for higher payloads to its portfolio. The acquisition strengthens Schaeffler's robotics portfolio. The company began expanding its robotics presence in 2017 when it brought a strain-wave gearbox for use in a collaborative robot to production.
Legendary director James Cameron has warned of the dangers that deepfakes pose to society. Deepfakes leverage machine learning and AI techniques to convincingly manipulate or generate visual and audio content. Their high potential to deceive makes them a powerful tool for spreading disinformation, committing fraud, trolling, and more. "Every time we improve these tools, we're actually in a sense building a toolset to create fake media -- and we're seeing it happening now," said Cameron in a BBC video interview. "Right now the tools are -- the people just playing around on apps aren't that great. But over time, those limitations will go away. Things that you see and fully believe you're seeing could be faked."
Since proposed in 1965, Lotfi Zadeh's idea of "fuzzy logic" has penetrated every science and engineering field. Physix is a "fuzzy metric system" to measure people's opinion and emotional response more accurately. AI lacks a logic that that can interpret the subtleties of thought, emotion and communication. The continua provide simple, unbiased metrics of personal experience and belief for any given topic; every opinion and feeling can be seen relative to others'. A shared visualization of perspectives will defuse antagonism and reduce racism leaving a positive impact on our society.
TinyML is a sort of machine learning in which deep learning networks are shrunk to fit on a piece of hardware. Artificial Intelligence and intelligent gadgets are combined in this project. In your pocket lies 45x18mm of Artificial Intelligence. Suddenly, your Arduino board's do-it-yourself weekend project has a little machine learning model implanted in it. New embedded machine learning frameworks will enable the spread of AI-powered IoT devices.
In a recent review published in the journal of Nature Medicine, scientists discussed the results of a two-year weekly effort to track and communicate significant developments in medical (artificial intelligence) AI. They included prospective studies as well as developments in medical image analysis that have narrowed the gap between research and implementation. They also discuss non-image data sources, innovative issue formulations, and human-AI collaboration as prospective pathways for novel medical AI research. As the medical AI community navigates the many ethical, technical, and human-centered issues required for safe and successful translation, the deployment of medical AI systems in routine clinical care presents an important but largely unrealized opportunity. Many randomized controlled trials (RCTs) have been used to assess the utility of AI systems in healthcare.
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Large retail chains are seeking to enhance customer satisfaction by using artificial intelligence (AI) tools such as machine learning and computer vision to study consumer behavior online and in physical stores, in an effort to offer them the best products and experiences. Bengaluru and San Francisco based AI solutions provider Algonomy has deployed an AI-based decision engine called Xen AI for Pantaloons, a multi-brand retail chain owned by Aditya Birla Fashion and Retail Ltd. Xen AI selects the most optimal experience for every interaction in real-time, based on the customer's profile and stage in the buying journey. For instance, if a lady customer browses for a peach dress online and later visits the store to try it, a store associate uses an app to assist her better based on her preferences, behavioral data, searches and past purchases, said Bhavna Sachar, director, product marketing at Algonomy. The idea is to use AI-based personalization to offer tailored omnichannel experiences to customers, she said.