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AI: enhancing the future of digital transformation

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Digital transformation is no longer an inward tactic used to reform an organisation's operations; it's now a necessary undertaking sought out by CIOs and IT leaders. Recent developments have pushed organisations to embrace digitisation, causing the fourth industrial revolution and technologies such as artificial intelligence to go mainstream. Even though, according to Gartner, only 53 per cent of AI projects make it from prototype into production, companies can't ignore the benefits of successful AI implementation. Enhanced AI solutions such as the artificial intelligence of things (AIoT), conversational AI and machine learning (ML) are improving the future of digital transformation and offer more innovative ways than ever before to address business challenges. Today's AI solutions can be customised to address a company's unique set of challenges.


Springer has released 65 Machine Learning and Data books for free

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Springer has released hundreds of free books on a wide range of topics to the general public. The list, which includes 408 books in total, covers a wide range of scientific and technological topics. In order to save you some time, I have created one list of all the books (65 in number) that are relevant to the data and Machine Learning field. Among the books, you will find those dealing with the mathematical side of the domain (Algebra, Statistics, and more), along with more advanced books on Deep Learning and other advanced topics. You also could find some good books in various programming languages such as Python, R, and MATLAB, etc.


What Impact Does AI in the Travel Industry have?

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Artificial intelligence (AI) is redefining the travel industry and assisting businesses in achieving their objectives. AI in the travel industry is continuing to provide cutting-edge services to travelers. Tour and travel companies are incorporating artificial intelligence to improve the traveler experience. AI-enabled apps assist users or travelers in automatically adjusting the prices of flights or rooms based on their needs. Travelers today rely on technology to keep them moving in their pursuit of preferences worldwide.


This Is How I Used Artificial Intelligence in My Life During the Last 24 Hours

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What can we do in 24 hours? What happens in our lives between sunrise and sunset? What happens in 24 hours around the world? On average, in 24 hours, I will experience 104,000 heartbeats, I'll take a breath about 23,000 times, I'll walk about 8,000 steps on average, and in the shower, I'll spend about 12 minutes. My body will shed and create up to 50 trillion new cells, and I usually spend 20 minutes in the bathroom. There will be a 0.35 mm growth in my hair, and I will also lose somewhere between 40 and 100 hairs at the same time, and on average, I'll speak for roughly 48,000 words.


Artificial intelligence analysis of biofluid markers

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We detail the accuracy and validity of AI in diagnostic and prognostic models and biofluid markers that provide insight into AMD pathogenesis and progression. This review was conducted in accordance with the Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines. A comprehensive search was conducted across 5 electronic databases including Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, EMBASE, Medline, and Web of Science from inception to July 14, 2021. Studies pertaining to biofluid marker analysis using AI or bioinformatics in AMD were included. Identified studies were assessed for risk of bias and critically appraised using the Joanna Briggs Institute Critical Appraisal tools.


Searching For Semantic Similarity!

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. This blog post is all about what we look for while making friends!


Machine learning vs data science: Differences, similarities, and future (2022) - Dataconomy

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The much-awaited comparison is finally here: machine learning vs data science. The terms "data science" and "machine learning" are among the most popular terms in the industry in the twenty-first century. These two methods are being used by everyone, from first-year computer science students to large organizations like Netflix and Amazon. The fields of data science and machine learning are related to the use of data to improve the development of new products, services, infrastructure systems, and other things. Both correspond to highly sought-after and lucrative job options.


Top Trending Artificial Intelligence AI Technologies in 2022

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A brand-new area of computer science was initially referred to as "artificial intelligence" in 1955. Many daily jobs are being replaced by artificial intelligence, requiring less human involvement. But what precisely is this new AI technology? AI refers to the process of teaching a computer system to function and think like a human brain. This is often accomplished through reinforcement learning, in which the computer learns from past errors and observed patterns.


How AI Is Transforming The App Game

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The past few years have seen a massive boom in smartphone technology and applications, mainly due to the rapid evolution in artificial intelligence and related technologies. AI has managed to completely transform the user interface and experience for even the simplest mobile apps that we use on a daily basis. In today's world, half of our daily tasks are automated and performed by mobile apps that are powered by AI, and it is truly a magical time to be alive. Speaking of artificial intelligence, it is impertinent to mention that the ever-growing phenomenon continues to morph mobile apps into something entirely different. From physical learning to AI-based learning, from physical piano lessons to online lessons for piano – everything is dominated by AI.


Are We Near Sentient AI? - IoT Times

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Recently, a former Google researcher claimed that some algorithms used by the company reached sentient capabilities well above their initial design. Phillipa Louvois rules that Data, the Enterprise's android, is not the property of Starfleet, arguing: "We have all been dancing around the basic issue: does Data have a soul? I don't know that he has. I don't know that I have. But I have got to give him the freedom to explore that question himself."