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Edge to Core AI Futures for OEMs

#artificialintelligence

The ability of computers to autonomously learn, predict, and adapt using massive datasets is driving innovation and competitive advantage across many industries and applications. The artificial intelligence (AI) is budding faster and prompting businesses to hop aboard the next big wave of computing to uncover deeper insight, quickly resolve their most difficult problems, and differentiate their products and services. Whether the goal is to build a smarter city, power an intelligent car, or deliver personalized medicine, we've only just begun to understand the real potential of AI. For the implementation of AI, HPE OEM has the expertise, edge to core technologies and partner ecosystem to help explore different use cases, experiment with AI and data technologies, and build the solution to be enterprise-ready. HPE OEM will benefit at all stages of the journey from formulating a roadmap through implementation and data migration.


Is there a role for statistics in artificial intelligence?

arXiv.org Artificial Intelligence

The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics, as an interdisciplinary scientific field, plays a substantial role both for the theoretical and practical understanding of AI and for its future development. Statistics might even be considered a core element of AI. With its specialist knowledge of data evaluation, starting with the precise formulation of the research question and passing through a study design stage on to analysis and interpretation of the results, statistics is a natural partner for other disciplines in teaching, research and practice. This paper aims at contributing to the current discussion by highlighting the relevance of statistical methodology in the context of AI development. In particular, we discuss contributions of statistics to the field of artificial intelligence concerning methodological development, planning and design of studies, assessment of data quality and data collection, differentiation of causality and associations and assessment of uncertainty in results. Moreover, the paper also deals with the equally necessary and meaningful extension of curricula in schools and universities.


What AI still can't do

#artificialintelligence

Machine-learning systems can be duped or confounded by situations they haven't seen before. A self-driving car gets flummoxed by a scenario that a human driver could handle easily. An AI system laboriously trained to carry out one task (identifying cats, say) has to be taught all over again to do something else (identifying dogs). In the process, it's liable to lose some of the expertise it had in the original task. Computer scientists call this problem "catastrophic forgetting."


Alphabet's Next Billion-Dollar Business: 10 Industries To Watch - CB Insights Research

#artificialintelligence

Alphabet is using its dominance in the search and advertising spaces -- and its massive size -- to find its next billion-dollar business. From healthcare to smart cities to banking, here are 10 industries the tech giant is targeting. With growing threats from its big tech peers Microsoft, Apple, and Amazon, Alphabet's drive to disrupt has become more urgent than ever before. The conglomerate is leveraging the power of its first moats -- search and advertising -- and its massive scale to find its next billion-dollar businesses. To protect its current profits and grow more broadly, Alphabet is edging its way into industries adjacent to the ones where it has already found success and entering new spaces entirely to find opportunities for disruption. Evidence of Alphabet's efforts is showing up in several major industries. For example, the company is using artificial intelligence to understand the causes of diseases like diabetes and cancer and how to treat them. Those learnings feed into community health projects that serve the public, and also help Alphabet's effort to build smart cities. Elsewhere, Alphabet is using its scale to build a better virtual assistant and own the consumer electronics software layer. It's also leveraging that scale to build a new kind of Google Pay-operated checking account. In this report, we examine how Alphabet and its subsidiaries are currently working to disrupt 10 major industries -- from electronics to healthcare to transportation to banking -- and what else might be on the horizon. Within the world of consumer electronics, Alphabet has already found dominance with one product: Android. Mobile operating system market share globally is controlled by the Linux-based OS that Google acquired in 2005 to fend off Microsoft and Windows Mobile. Today, however, Alphabet's consumer electronics strategy is being driven by its work in artificial intelligence. Google is building some of its own hardware under the Made by Google line -- including the Pixel smartphone, the Chromebook, and the Google Home -- but the company is doing more important work on hardware-agnostic software products like Google Assistant (which is even available on iOS).


How AI Is Revolutionizing Health Care

#artificialintelligence

The market value of AI in the health care industry is predicted to reach $6.6 billion by 2021. Artificial intelligence is increasingly growing in popularity throughout various industries. But AI is a lot more than that. AI experts see it as a revolutionary technology that could benefit many industries. The impact of AI in the health care sector is genuinely life-changing.


AI Technologies that are Reshaping Social Infrastructure

#artificialintelligence

Together with the rise of the Internet, access to large repositories of data has helped machine learning technology grow exponentially. The incredibly quick pace of growth was unprecedented. As a result, it is obvious that AI will make a significant impact on the world in the years to come. However, with the numerous established and emerging fields of AI around today, such a blanket statement doesn't provide much concrete meaning. What fields and applications of AI are receiving the most investment and development?


In Conversation With Former Discovery CEO Karan Bajaj: Need For AI Ethics, Machine Learning As A Skill, And More

#artificialintelligence

There's no doubt that Artificial Intelligence has become a major buzzword these days. You might already be aware of it as this trailblazing technology that has made captivating headlines in terms of the innovations that it brings along and the risks that it poses. Be it a self-driving car, a sex robot that can breathe, or a healthcare tool that detects possible breast cancer better than the experts, Artificial Intelligence is dominating almost every industry that we can think of. It has remained one of the biggest stories in tech in a course of the last few years and we wanted to know what its future holds. To see a picture beyond the mainstream AI, we interviewed Karan Bajaj, Founder and CEO, WhiteHat Jr, who shared with us his insight around Machine Learning, need for ethics around AI, and AI's impact on education.


5 Industries That Are Pushing the Boundaries of AI

#artificialintelligence

Artificial intelligence is forcing industries to evolve at an incredible rate. By helping companies save time and money, AI is already revolutionizing productivity and customer service around the world. A Microsoft survey of more than 400 senior executives across eight global markets found that executives expect AI to benefit their businesses to positively impact growth, productivity, innovation, and job creation. A stunning 94% of them see AI as an important tool for solving strategic challenges. Artificial intelligence has already had a profound impact on the ways many industries do business ... [ ] every day.


Artificial Superintelligence : An Intellect that Never Before Existed

#artificialintelligence

The pace of progress in artificial intelligence is astonishingly fast and it is growing at a rampant pace. Tech firms such as DeepMind, etc as well as countless academic teams at leading technical universities all over the world, have been working for years on the creation of an AI with a neural network capable of all the mental functions humans posses. Unless one has direct exposure to groups like Deepmind, you have no idea how fast AI is growing. However, it is fascinating to see how AI is transforming lives right now in its early stages of narrow intelligence: from disease detection to artificial organs, autonomous driving to manufacturing. Evolution -- the process by which different kinds of living organism are believed to have developed from earlier forms and evolution has created intelligence -- the humans, but we are the most "exceptional" form of life in existence.


Rick Mills – "The Promise of AI" Prospector News

#artificialintelligence

In'The Terminator' series of action films starring Arnold Schwarzenegger, a cybernetic organism (cyborg) is programmed from the future to go back in time and kill the mother of the scientist who leads the fight against Skynet, an artificial intelligence system that will cause a nuclear holocaust. Terrifying and at times comical ("I'll be back", "Make my day") The Terminator cyborg was among the first presentations of artificial intelligence (AI) to a global audience. While numerous facets of AI have been developed over the past couple of decades, all with positive outcomes, the fear of AI being programmed to do something devastating to the human race, of computers "going rogue", continues to persist. On the other hand, AI holds tremendous potential for benefiting humanity in ways we are only just starting to recognize. This article gives an overview of artificial intelligence including some of its most interesting manifestations. The first step is defining what we mean by artificial intelligence. One definition of AI is "the simulation of human intelligence processes by machines, especially computers." Such processes include learning by acquiring information, understanding the rules around using that information, employing reasoning to reach conclusions, and self-correcting.