Math Vs Coding: Data Science - WebSystemer.no

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I will be sharing my perspective on which is actually more sought after in the current industry. Let me ask you one question. If you were the tech lead of data science, and there already has a lot of Ph.D. people working for you, at the same time, you would like to expand your team. You have two candidates in mind, one is better in coding and one is better in math concept, which candidate will you prefer? There is no right or wrong answer to this question, but from what I observed, usually, they will prefer the ones who have better skills in coding.


A Look At The Investment In Self-Driving Cars: Who Has Spent The Most?

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The development of driverless car technology is on the rise, and automakers are investing millions and billions to be the first to market with their lineup of autonomous vehicles. But which company has made the largest investment in self-driving cars? Here's a look at what some of the top companies have invested in their driverless vehicle programs so far. The investment into the autonomous vehicle industry has reached over $100 billion, with the leader in spending investing more than half of this number, according to a report by Leasing Options. The report indicated that Volkswagen is driving the charge when it comes to driverless technology with an investment of $54.2 billion and 57 percent share in total industry investment of self-driving cars.


Theoretical Foundations of Artificial General Intelligence - Programmer Books

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This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature.


Deep Learning Market 2019 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends By 2026 – Market Strategies

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The latest market analysis report on the Deep Learning market performs industry diagnostic as a way to accumulate valuable data into the business environment of the Deep Learning market for the forecast period 2019 – 2026. The subject matter experts behind the research have collected vital statistics on the market share, size and growth as a way to help stakeholders, business owners and field marketing personnel identify the areas to reduce costs, improve sales, explore new opportunities and streamline their processes. Unbiased perspective on intangible aspects such as key challenges, threats, new entrants as well as strengths and weaknesses of the prominent vendors too are discussed in this market intelligence report. By offering expert assistance, it would be able to assist humans in extending their capabilities. Organizations are using deep learning networks to get valuable insights from huge amount of data.


Anatomy Of An Autonomous Vehicle Service Ecosystem

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If you have seen one of the many schematic charts full of logos illustrating the autonomous vehicle ecosystem, you would be forgiven for being confused. Most, like the one linked to in the above paragraph, dive deep into the layers of technology involved in enabling cars to drive themselves. It provides a nice summary for people in the industry (with good eyesight). To the layperson, however, this can add to the confusion about how autonomous vehicles work. Also, it is important to note that the majority of the companies and the technologies represented only have to do with the vehicles.


complexity-science-natural-law-grand-pivot-toward-new-cosmology

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As we can see from the hardening religious impulse in our current authoritarian, autocratic moment, the traditionalist defense of "civilization" ultimately rests upon the complicated, combined influence of the major Abrahamic revealed religions (Judaism, Christianity, and Islam). The Abrahamic faiths – based as they are on divine revelation, sacred texts and prophetic moments – require a creator-centric moral order that exists outside of time and space. In the last millennium, Thomist natural law – the philosophical thread of law and logic running through many of our core assumptions about "the West" – has extended and refined, but in no way refuted, these central premises of the Abrahamic religions. In The Creation Project, my argument has been that the axis of conflict in the coming decades will be a civilizational battle between two irreconcilable, non-liberal (i.e., non-Enlightenment) regimes and worldviews – backward-looking, creator-centered natural law and forward-looking creation-centered complexity science. In prior posts, I have specifically focused on Princeton professor Robby George's views on natural law because his ideas distill nearly everything about the foundational beliefs of western civilization that complexity science calls into question, and that require root-and-branch reassessment.


How the 'California effect' could shape a global approach to ethical AI

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In response to the serious threat that AI-enabled bots and deepfakes pose for election integrity, the California government has pushed forward progressive pieces of legislation that have influenced federal and international efforts. Passed in 2018, the "Bots Disclosure Act" makes it unlawful to use a bot to influence a commercial transaction or a vote in an election without disclosure in California. This includes bots deployed by companies in other states and countries, which requires those companies to either develop bespoke standards for Californian residents or harmonize their strategies across jurisdictions to maintain efficiency. At the federal level, the "Bots Disclosure and Accountability Act" includes many of the same strategies proposed in California. The California "Anti-Deepfakes Bill" seeks to mitigate the spread and impact of malicious political deepfakes before an election and the federal "Deepfakes Accountability Act" seeks to do the same.



The War for Human Talent Rages On (In Spite of AI)

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Automation is coming, pant the breathless pundits warning of A.I.-induced job loss. Ratcheting up the fear meter, presidential candidate Andrew Yang recently sounded the alarm for unprecedented employment gutting -- not just among blue-collar professions, but white-collar jobs, too. Meanwhile, renowned studies paint a gloomy picture, one in which rapid A. advances kneecap our middle-class dreams, sapping the hopes of young people who are left to wonder: Will there be a job for me when I graduate? And yet, the on-the-ground reality doesn't fit these sour prognostications. If anything, it offers good news for workers.


Five Strategies To Catalyze Conversational AI

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For many people, the general idea of artificial intelligence still conveys a dark, robot-master future. Yet simply add the word "conversational" in front of it, and suddenly it's a whole lot friendlier. Maybe that's why conversational AI is this year's "everywhere topic." It's a consensus pick in every technology forecast; a keynote subject at business, marketing, and IT conferences; a core capability claimed by software vendors of all sizes and specializations; and the destination of millions in venture funding. As evidenced by this year's CES conference, it's also reaching ever further into the connected home, vehicle, and workplace, at lightning speed.