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Global Big Data Conference

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Progress in AI technology promises to usher in a new era of automation and innovation. But will advances in machine intelligence and the march toward automation displace human intelligence? Half of businesses have already adopted AI technology to streamline at least one function, according to a recent McKinsey survey, and Gartner projects that 90% of enterprises will have brought aboard an automation architect by 2025. As more organizations turn to AI-augmented automation to boost productivity and make tedious, time-consuming tasks more efficient, the human professional's role won't diminish. Far from making humans irrelevant, the growing sophistication of AI actually makes humans–their insights, their experience, their moral and ethical judgment–all the more essential.


The Best Books To Read About Artificial Intelligence: Top Picks - Technaire

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The best books to read about artificial intelligence are many in the market. But, there are a few of them that have proved to be more useful and valuable. These books have shown great yields for most people. So, we believe they'll also do well for you. Therefore, in this article, we will discuss some of the best books to read about artificial intelligence.


People trust robots more than themselves

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The study of more than 9,000 consumers and business leaders across 14 countries found that the Covid-19 pandemic has increased financial anxiety, sadness, and fear among people around the world. It has also changed who and what we trust to manage our finances and, is reshaping the role and focus areas of corporate finance teams and personal financial advisors. The global pandemic has negatively impacted people's relationship with money at home and at work: The financial uncertainty created by Covid-19 has changed who and what we trust to manage our finances. "Managing finances is tough at the best of times, and the financial uncertainty of the global pandemic has exacerbated financial challenges at home and at work," says Farnoosh Torabi, personal finance expert and host of the So Money podcast. "Robots are well-positioned to assist –-- they are great with numbers and don't have the same emotional connection with money. This doesn't mean finance professionals are going away or being replaced entirely, but the research suggests they should focus on developing additional soft skills as their role evolves."


How to Explain the Future of Artificial Intelligence Using Only Sci-Fi Films

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I've read the book Life 3.0 by physicist & AI philosopher Max Tegmark, where he sets out a series of possible scenarios and outcomes for humankind sharing the planet with artificial intelligence. Tegmark immediately shoots down any notion that we are likely to be victims of a robot-powered genocide, and claims the idea we would programme or allow a machine to have the potential to hate humans is preposterous - fuelled by Hollywood's obsession with the apocalypse. Actually, we have the power, now, to ensure that if AIs goals are properly aligned with ours from the start, so that it wants what we want, then there can never be a'falling out' between species. In other words, if AI does pose a threat - and in some of his scenarios it does - it will not come from The Matrix's marauding AIs, enslaving humanity and claiming, like Agent Smith, 'Human beings are a disease. You are a plague and we are the cure'.


Future of AI in School ERP Software

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Artificial intelligence, that is AI, is one of the most phenomenal technologies that is being used in almost all industries. AI uses data stored within the system to predict outcomes and scenarios by thinking in different aspects like a human's brain, but in a very quick manner. In fact, AI systems provide much more efficient solutions to various problems as compared to those offered by human beings. This is the reason why AI is being immediately implemented by companies belonging to different sectors across the globe. School ERP software, which is one of the most recent technological developments in the education sector is no stranger to AI integration.


Big Bang of the Singularity

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Nobody knows the future but we know death is future for everyone. What if the universal laws of birth and death does not apply? Singularity in Physics is a point where the known physical laws cease to apply. Like Gravitational laws break down beyond black hole making it an enigma. Vernor Vinge, science-fiction writer coined the term the Singularity in 1980s, in reference to hypothetical creation of superintelligent machines.


The Biggest Ethical Concerns in the Future of AI - ReadWrite

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Artificial intelligence (AI) is rapidly improving, becoming an embedded feature of almost any type of software platform you can imagine, and serving as the foundation for countless types of digital assistants. It's used in everything from data analytics and pattern recognition to automation and speech replication. The potential of this technology has sparked imaginative minds for decades, inspiring science fiction authors, entrepreneurs, and everyone in between to speculate about what an AI-driven future could look like. But as we get nearer and nearer to a hypothetical technological singularity, there are some ethical concerns we need to keep in mind. Up first is the problem of unemployment.


ModelOps: The Key to Unlocking the Future of AI

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There are several narratives that permeate around AI today. It has great promise, but it is not without pitfalls. Many early adopters have invested millions, but remain unimpressed and discouraged by the lack of returns thus far. With that said, and despite the challenges, the community has identified the problematic areas in the process, and a solution is emerging to getting through last mile AI challenges to scale to the enterprise: ModelOps. ModelOps tools manage the last mile delivery challenges associated with deploying, managing, and monitoring AI models into production systems.


When Machines Design: Artificial Intelligence and the Future of Aesthetics

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Are machines capable of design? Though a persistent question, it is one that increasingly accompanies discussions on architecture and the future of artificial intelligence. But what exactly is AI today? As we discover more about machine learning and generative design, we begin to see that these forms of "intelligence" extend beyond repetitive tasks and simulated operations. They've come to encompass cultural production, and in turn, design itself.


#144 - Michael Littman: Reinforcement Learning and the Future of AI

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Michael Littman is a computer scientist at Brown University. Please support this podcast by checking out our sponsors: – SimpliSafe: https://simplisafe.com/lex SUPPORT & CONNECT: – Check out the sponsors above, it's the best way to support this podcast – Support on Patreon: https://www.patreon.com/lexfridman On some podcast players you should be able to click the timestamp to jump to that time.