machine learning


The most powerful idea in data science

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If you take an introductory statistics course, you'll learn that a datapoint can be used to generate inspiration or to test a theory, but never both. Humans are a bit too good at finding patterns in everything. Real patterns, fake patterns, you name it. We're the sort of creatures that find Elvis's face in a potato chip. If you're tempted to equate patterns with insights, remember that there are three kinds of data patterns: Which ones are useful to you?


Deep Learning Chatbots: Everything You Need to Know

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When you're creating a chatbot, your goal should be to make one that it requires minimal or no human interference. This can be achieved by two methods. With the first method, the customer service team receives suggestions from AI to improve customer service methods. The second method involves a deep learning chatbot, which handles all of the conversations itself and removes the need for a customer service team. Such is the power of chatbots that the number of chatbots on Facebook Messenger increased from 100K to 300K within just 1 year.



The rise of artificial intelligence comes with rising needs for power

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Advances in technology can allow you to order food by voice or unlock your phone with your face, but those new capabilities could take a toll on the environment. Enhanced tech capabilities are being developed through the use of artificial-intelligence approaches like neural networks, which detect patterns in speech and images by training programs across countless data points. That process constantly crunches reams of information on power-hungry servers in data centers that use a substantial amount of energy to power, cool and monitor the servers. The result: Training a neural network can emit 17 times more carbon dioxide than an average American does in a year, and five times the lifetime emissions of an average car. Those are the findings of a recent paper by researchers at the University of Massachusetts, Amherst, which highlighted the substantial power generated by AI technologies.


Curiosity

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DeepCubeA, a deep reinforcement learning algorithm, can find the solution in a fraction of a second, without any specific domain knowledge or in-game coaching from humans.


Curiosity

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DeepCubeA, a deep reinforcement learning algorithm, can find the solution in a fraction of a second, without any specific domain knowledge or in-game coaching from humans.


The Amazing Ways YouTube Uses Artificial Intelligence And Machine Learning

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There are more than 1.9 billion users logged in to YouTube every single month who watch over a billion hours of video every day. With this number of users, activity, and content, it makes sense for YouTube to take advantage of the power of artificial intelligence (AI) to help operations. Here are a few ways YouTube, owned by Google, uses artificial intelligence today. In the first quarter of this year, 8.3 million videos were removed from YouTube, and 76% were automatically identified and flagged by artificial intelligence classifiers. More than 70% of these were identified before there were any views by users.


Artificial Intelligence Training

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Achieving an Artificial Intelligence certification exemplifies your expertise, commitment and can advance your career. AI is the most trending IT Technologies today and choosing AI career path is the right choice one can make.


Artificial intelligence app helps banana farmers detect TR4 disease

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The app can detect Fusarium wilt, Xanthomonas wilt, bunchy top disease, black sigatoka, yellow sigatoka, and corm weevil. Fusarium Tropical race 4 fungus (TR4) has decimated banana plantations and smallholders' crops in Asia and Africa and has now spread to Latin America. Last week, Colombian officials officially confirmed the presence of TR4 in La Guajira province, declaring a state of national emergency as a result. Developed with support from Bioversity International and the International Center for Tropical Agriculture (CIAT), the AI-powered tool is built into an app called Tumaini – Swahili for'hope' – that allows farmers to take action quickly, thus preventing a widespread outbreak. The information is also uploaded to a global system that allows for large-scale monitoring.


Perspecta Labs to Provide Advanced Photonic Edge Artificial Intelligence Compact Hardware Research for DARPA

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Perspecta Inc. announced that its innovative applied research arm, Perspecta Labs, was awarded a prime contract from the U.S. Defense Advanced Research Projects Agency (DARPA) to provide Photonic Edge AI Compact Hardware (PEACH) research under DARPA's Artificial Intelligence (AI) Exploration program. The contract, which represents new work for the company, has a total value of $1 million and work will be performed over 18 months. The goal of the PEACH program is to research and develop novel AI processing architectures in combination with innovative photonic hardware to enable breakthrough AI functionality with significant reduction in hardware complexity, latency and power consumption. Perspecta Labs will create a novel multiple-loop, delay-line reservoir computing architecture, an algorithm for specific emitter identification, and a scalable prototype hardware design in combination with innovative photonic hardware. "Perspecta Labs will draw on its rich portfolio of research and development in AI, photonics, radio frequency (RF) analytics, and systems engineering to deliver this work," said Petros Mouchtaris, Ph.D., president of Perspecta Labs.