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AI Predictions

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Despite a tough year for many, US companies are accelerating plans to implement artificial intelligence (AI). Another 54% are heading there fast. And they've moved way beyond just laying the foundation. Many are reaping rewards from AI right now, in part because it proved to be a highly effective response to the challenges brought about by the COVID-19 crisis. In fact, most of the companies that have fully embraced AI already report seeing major benefits.


AI Method Improves Detection of Rare Whale Calls

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The North Atlantic Right Whale (Right whale) is one of the most endangered whale species in the world with only about 368 remaining off the east coast of North America. A decreasing trend and low reproduction rates, combined with high levels of human activities – such as shipping and fisheries – underscore their precarious situation. Efficient tracking of their numbers, migration paths and habitat use is vital to lowering the number of preventable injuries and deaths and promoting their recovery. One of the frequently used methods to monitor whales is called passive acoustics technology. Right whales vocalize a variety of low-frequency sounds such as moans, groans, pulses and even belches.


Build Your Prospect List and Connect With Them Through Jobin - Recruiting Daily

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Have a newsworthy article to share? Raise your hand if you're looking for an all-in-one recruitment platform that finds the right people for you, provides an interface to connect with them, and helps you manage them from one place. If your hand is up, then you're going to love Jobin! Jobin uses AI-assisted search to find the best leads for you. Once you're entered your required criteria, it will generate a list of your preferred prospects.


Face Mask Detection Computer Vision: with Deep Learning - CouponED

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Face Mask Detection Computer Vision: with Deep Learning Learn Face Recognition for Face Mask Detection using Python, TensorFlow 2 and Flask Code: LECUN What you'll learn Overview: I will start the course by installing Python and installing the necessary libraries in Python for developing the end-to-end project. Then I will teach you one of the prerequisites of the course that is image processing techniques in OpenCV and the mathematical concepts behind the images. We will also do the necessary image analysis and required preprocessing steps for the images. Then we will do a mini project on Face Detection using OpenCV and Deep Neural Networks. With the concepts of image basics, we will then start our project phase-1, face identity recognition.


What is sentiment analysis? Using NLP and ML to extract meaning

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Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning to determine the emotional meaning of communications. Companies use sentiment analysis to evaluate customer messages, call center interactions, online reviews, social media posts, and other content. Sentiment analysis can track changes in attitudes towards companies, products, or services, or individual features of those products or services. Get the latest insights with our CIO Daily newsletter. One of the most prominent examples of sentiment analysis on the Web today is the Hedonometer, a project of the University of Vermont's Computational Story Lab.


Artificial Intelligence (AI) in Drug Discovery Market to Deliver Greater Revenues during the Forecast Period 2021-2028 - Stillwater Current

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The large scale Artificial Intelligence (AI) in Drug Discovery business report is an aid to assess the reaction of the consumers to the packaging of the firm and to make packaging as attractive as possible. This global Market report makes it easy to know the transportation, storage and supply requirements of its products. A lot of hard work has been involved while generating this Market research report where no stone is left unturned. It brings into focus public demands, competencies and the constant growth of the working industry, vibrant reporting, or high data protection services while analyzing Market information. The persuasive Artificial Intelligence (AI) in Drug Discovery report highlights a wide-ranging evaluation of the Market's growth prospects and restrictions.


A Book Review on AI 2041: Ten Visions for Our Future by Chen Qiufan and Kai-Fu Lee

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We have always wondered how life will transform in this world with the implementation of AI. Award-winning authors Chen Quifan and Kai-Fu Lee have presented the world with their new book AI 2041: Ten Visions for Our Future with the ten most interesting and enlightening chapters on September 14, 2021. All these chapters include an analysis of major disruptive technologies that are thriving in the tech-driven market like deep learning, big data, NLP, AI education, AI healthcare, virtual reality, augmented reality, autonomous vehicles, quantum computers, and other issues. AI 2041 book presents a ground-breaking blend of imaginative storytelling as well as scientific forecasting on the basis of the development of the 21st century. It opens the minds of readers about the applications of artificial intelligence in multiple industries across the world.


Automation is changing the rules for insurance underwriting - TechHQ

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The insurance industry is the very definition of risk-averse, and that includes the sector's critical operation of underwriting. Spend a working lifetime identifying, analyzing, quantifying and ascribing monetary value to risk, and one is likely to have a fairly strong aversion to undertaking new endeavors with inadequately understood consequences. For all the commentary suggesting otherwise, insurance still has an appetite for innovation. If the insurtech sector is any indication, then an interest in and requirement for new solutions is being recognized and addressed. It may not employ the language of disruption that runs through the wider fintech market, it may be short a few unicorns and unable to boast some of the record-breaking funding rounds, but a quiet tech revolution has been building in insurance nonetheless. Hence the advent of automated underwriting facilitated by artificial intelligence and advanced analytics (AI).


Five charts that reveal the geography of the AI economy

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Earlier this month, Brookings Metro published a data-driven snapshot of the growth and geography of the emerging artificial intelligence (AI) economy in the United States. Employing seven basic measures of AI research and commercial activity, the report benchmarked U.S. metropolitan areas on the basis of their core AI assets and capabilities as they stand now. Here, we look at the report's most important takeaways through five charts. The AI industry is growing rapidly, with AI-related projects accounting for a substantially larger share of federal research and development expenditures at U.S. colleges and universities. Similarly, newly founded firms that provide AI solutions of all tech startups expanded to more than 5%, from less than 1% a decade ago.


Could microscale concave interfaces help self-driving cars read road signs? – Physics World

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A structural colour technology that produces concentric rainbows could help autonomous vehicles read road signs, scientists in the US and China claim. As well as exploring the physics of these novel reflective surfaces, the researchers show that they can produce two different image signals at the same time. Autopilot systems that read both signals would be less likely to misinterpret altered road signs, they suggest. Car autopilot systems use infrared laser-based light detection and ranging (lidar) systems to scan their environment and recognize traffic situations. To read signs, autonomous vehicles rely on visible cameras and pattern recognition algorithms.