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Top Artificial Intelligence Books Released In 2019 That You Must Read – Analytics India Magazine

December 17, 2019 | Author: admin

Artificial Intelligence has had many breakthroughs in 2019. In fact, we can go as far as to say that it has trickled down to every single facet of modern life. With its intervention in our daily life, it is imperative that everyone knows about how it is affecting our lives, bringing about change in it, the threats and possible solutions.

While there are some people who still think AI is only robots and chatbots, it is important that they know of the advancements in the field. There are many online courses and books on artificial intelligence that give a comprehensive understanding to the reader whether it is a professional or an AI enthusiast.

In this article, we have compiled a list of books on artificial intelligence published in 2019 that one can use to learn more about this fascinating technology:

Written by Dr Eric Topol, an American cardiologist, geneticist and digital medicine researcher, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again, is Amazon #1 bestseller this year.

This book boldly sets out the potential of AI in healthcare and deep medicine. Topol calls AI the next industrial revolution. The book contains short examples to highlight AIs importance along with a proper expansion on likely AI is going to transform the medical industry. Topol believes that AI can not only help in enhancing diagnosis and treatment but also help them in saving time in other activities like taking notes, reading scans which will eventually help them to spend more time on the patients. This is a resourceful book for someone interested in AI and its impact on healthcare.

Written by Dr Stuart Russell, Human Compatible: AI and the Problem of Control is possibly one of the most important books of this year on AI. The book talks about the threats by artificial intelligence and solutions to it. The author, Stuart Russell, makes use dry humour not to make his book sound like a boring information magazine.

The book is for both the public and AI researches, Stuart Russel, in this doesnt hammer AI, he points out the threats and solution as someone who feels a sense of responsibility towards the changes and revolution his own field is bringing.

This book is written by Marcus du Sautoy, a professor of mathematics at the University of Oxford and a researcher fellow at the Royal Society.

This book is a fact-packed, funny journey to the world of AI. It questions the present meaning of the word creativity and about how the machine will be able to crack the code on human emotions.

This book dances around the concept of using AI assistance in art-making. The book discusses the math behind ML and AI as its centre point of discussion in art.

Janelle Shanes AIwierdness.com is an AI humour blog and looks to have a different take on AI, the part of AI. In this book, the author makes use of humorous cartoons and pop-culture illustrations to try and take a look inside the algorithms that are used in machine learning.

The authors of this book Gary Marcus, a scientist and the founder and CEO of Robust.AI and Ernest Davis, a professor of computer science at NYU tell what AI is, what it is not, its potentials if we worked towards it with more resilience and be more creative. Many authors seem to hype up AI, not just the good part about it but also the wrong side about it. The authors here seem to have found the balance in between.

The book, Rebooting AI: Building Artificial Intelligence We Can Trust, highlights the weaknesses of the current technology, where it is going wrong and what should we be doing to find the solutions. It isnt just some book that only researchers can read but also for the general public. It illustrates many examples and excellent use of humour wherever needed.

The first edition of the series of books written by the Alex Castrounis, answer one of the most critical questions in todays age concerning business and AI, How can I build a successful business by using AI?

The AI for People and Business: A Framework for Better Human Experiences and Business Success is exclusively written for anyone interested in making use of AI in their organisation.

The author examines the value of Ai and gives solutions for developing an AI strategy that benefits both people and businesses.

This book by Andriy Burkov remains true to its name and just manages to do the seemingly impossible task of trying to bundle all of the machine learning inside of a hundred-page book.

This book provides an in-depth introduction to the field of machine learning with the smart choice of topics for both theory and practice.

If you are new to the field of machine learning, then this book gives you a comprehensive introduction to the vocabulary/ terminology.

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Artificial intelligence must be used with care – The Australian Financial Review

December 17, 2019 | Author: admin

When AI goes into the machine learning space, it opens up a range of issues such as biases and privacy, she says. Boards have to be switched on to this and be able to ask the right questions.

According to Williams, a significant proportion of the challenges caused by AI usage within companies comes from the fact that the technology is far from transparent. Even the people who build it dont really know why it does what it does, she says. The board is critical. If it is successfulin understanding AI, developing strategies for it, and integrating it into mainstream business strategy, the payoff is huge.

Asked to nominate other technology-related issues occupying the minds board members, panel members pointed to a range including security and the ability to withstand cyber attacks.

Cyber security is really at the top of the list, says David Attenborough, managing director and chief executive at betting company Tabcorp. This is because any company is under permanent attack from different directions and you need to be protecting your customers, your networks and youremployees from those attacks.

The other major issue that keeps me awake at night is the resilience of networks because we have multiple systems supporting a massive retail network and a big digital network. On big days, such as the Melbourne Cup, if you have a system that goes down it is incredibly expensive and disruptiveand reputationally damaging.

David Attenborough, managing director and chief executive at betting company Tabcorp, says cyber security is top priority.Jesse Marlow

While information technology is a critical component for organisations of all sizes, the panellists also stressed that Australian businesses must be more than simply technology consumers.

To achieve long-term growth, it is vital to deploy new technologies to underpin sustained and far-reaching innovation.

The board wants too see a pipeline of ideas, says Stops. They want to know that the company is constantly thinking about new ways to do things and that the pipeline is constantly being filled and fed through.

She says innovation is not something that is unique to a particular group. Rather, it has to be a mindset and something that is in place right across an organisation.

The usual approach within a lot of companies has been to carve off a group and call it an innovation team, she says. Companies are now realising that this is not creating an innovation culture - its just putting some smart people in a corner.

Stops warns, however, that its important how innovation and new ideas are handled. Care needs to be taken that it doesnt get caught up in traditional multi layers of approval which can lead to a good idea dying before it can be fully developed.

The board should be keen to make sure there is a way in which those ideas can move through the organisation quite quickly, she says.

Also, there is a need to create a culture in which it is OK to fail. A lot of organisations spend money on innovation and new ideas and if they dont work people are shot and off they go. That is not what an innovation culture is all about.

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Ume University: Master all areas of Artificial Intelligence – Study International News

December 17, 2019 | Author: admin

Artificial intelligence (AI) is transforming work and life as we know it, already boosting workplace efficiency and leading to noticeable improvements to the quality of for instance healthcare, lowering costs while giving clinicians time to work with their patients more closely, and with more insight. This was made clear in arecent MIT Technology Review Insights surveyproduced in partnership with GE Healthcare, where more than 82 percent of healthcare business leaders said their AI deployments were showing positive results across operational and administrative activities,.

When analysing the impact AI would have on the global education sector, founders of theInstitute for Ethical AI in Education (IEAIED) said there wasno need to fear the technology. Rather than replace the human element in education, AI would augment teaching and learning, they said.

There are highly beneficial applications of machine learning inside the area of education. Artificial Intelligence may enable personalised learning, especially important for students with specialized needs and challenges. Awell-designed AI can be used to identify learners particular needs so that everyone especially the most vulnerable can receive targeted support.

With global education and healthcare being just two of many sectors that AI has advanced so far, and withhundreds more AI technology developmentson the horizon, such as autonomous vehicles, manufacturing and financial services to add to the list, the need for expertise in the field appears limitless!

Firmly supporting this need and accepting this challenge is theFaculty of Science and TechnologyatUme University, Sweden.

Currently open forautumn 2020 intake, their newMasters in Artificial Intelligenceis a postgraduate programme that enables you to develop broad and core competence in AI and equips you with the digital tools necessary for future career success.

Youll also experience a combination of lectures, seminars, group work, and tutorials in conjunction with different types of assignments and laboratory work to advance your AI education in a multidisciplinary manner.

It is of critical importance to study in a more multidisciplinary manner, where humanities and social sciences are combined with science and technology. AI can no longer be seen as a purely technical or computer science discipline. It is per definition interdisciplinary, says Ume Department of Computing Science Professor, Virginia Dignum.

One of the first professors recruited to Sweden as part of the Wallenberg AI, Autonomous Systems and Software Program (WASP) initiative and actively involved in several international initiatives on policy and strategy guidelines for AI research and applications, such as theEuropean Commission High Level Expert Group on Artificial Intelligence (AI HLEG), Dignum is one of the AI experts at Ume who are driving research and graduate success forward.

My position at Ume University makes it possible for me to look at societal, ethical and cultural consequences of AI. I will for instance be studying methods and tools to ensure that AI systems are formed not to violate human values and ethical principles, says Dignum, who also leads the research group Social and Ethical Artificial Intelligence at the Faculty.

Another integral member at the Faculty is Senior Lecturer Helena Lindgren.

Understanding the urgency of AI integration, Lindgren believes that the university needs to be driven to produce research that develops, educates and enhances the capabilities of AI in society, both in terms of system development and implementation.

One of the objectives at Ume is to raise societys AI competence, such as through continuing education and professional development of currently employed persons. Its very important for Sweden as a nation, as well as its companies and organisations, to be able to take the next step in digital development, says Lindgren.

Lindgren and Dignum reflect the high caliber of the 30-strong researchers at Ume University that are engaged in the development of AI in different areas.

To study here is to be under their expert guidance as you undertake courses that relate to human-AI interaction and complete student projects conducted in collaboration with an organisation addressing societal challenges.

In these projects, students are expected to collaborate in interdisciplinary teams and with representatives from industry and public organisations, adding a practical twist to the 2020 course.

In this English-taught Masters, you are also expected to take full responsibility for organising your tasks so that deadlines are met and collaborative work within student projects are manageable within office hours.

Despite being a new course, AI is not a new focus for Ume.

In the 1970s, Ume Professor Lars-Erik Janlert focused on Knowledge Representation, and in the early 1980s he formed the Swedish AI Society together with other Swedish researchers.

Since then, Ume has expanded its outreach into a variety of research and education activities across different departments and faculties and is now one of seven universities that are part of the governmental initiative AI Competence for Sweden.

Ume University

Continuously building its research efforts through its strong interdisciplinary traditions and close collaborations with society, AI@UmU initiatives have also established an expanding network of researchers, teachers, students and professionals who want to learn, discuss and collaborate around AI-related issues via seminars, panel discussions and courses.

Always welcome to discuss the latest tech revelations and AI advancements with their professors and visiting professionals, Ume students are motivated to unearth AI research angles of their own.

From day one of the new Masters programme, theyll deepen their insight into this exciting field and take their knowledge of AIs theoretical foundations, intelligent robotics, machine learning and data science further.

So, if youre ready to master all areas of AI and want to start your postgraduate study venture in Sweden, click here to find out about the application and eligibility process.

Follow Ume University on Facebook, Instagram, Twitter and YouTube.

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Artificial intelligence will only improve over the next decade – KFI AM 640

December 17, 2019 | Author: admin

The past ten years have seen a rise in artificial intelligence, from smart speakers and other devices to driverless cars. We're "not there yet" on either, but the next ten years should see an evolution of these technologies.

Rice engineering Professor Patrick Rodi says truly driverless cars may come to other countries first.

"Where the litigation environment is a bit different, so you don't have the tort law and the other legal ramifications and environments we have in this country."

Professor Rodi says Alexa and Siri will get better in the ten years.

"I don't see a huge revolution coming; I think Alexa is going to be smarter and predict your needs better and get to know the family a little bit better."

Professor Rodi says we've come a long way. 120 years ago we had very little technology, now we're trying to go to Mars.

"I think it's a wonderful time to be alive; I always sit back and wonder what would George Washington think of the space shuttle or SpaceX or the space station or some of these advance technologies."

Professor Rodi says driverless cars and drones will improve and we'll see more applications of artificial intelligence in lots of areas, like financial markets and outer space.

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Wearable Artificial Intelligence (AI) Competitive Market Status,Outlook, Trend and Forecast to 2026 – Media Releases – CSO Australia

December 17, 2019 | Author: admin

In the global report, the wearable artificial intelligence (AI) competitive market outlook section mainly encompasses the fundamental dynamics of the market which include drivers, restraints, opportunities, and challenges faced by the industry. Drivers and restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.

According to ARC, the global wearable artificial intelligence (AI) competitive market is expected to reach the market value of around $185 billion by 2026 and is expected to grow at a CAGR of around 27% in terms of revenue during the period 2019 - 2026. The report provides analysis of global Wearable Artificial Intelligence (AI) market for the period 2015-2026, wherein 2019 to 2026 is the forecast period and 2018 is considered as the base year.

A technologically sophisticated drug delivery system or instrument implanted below the skin for steady administration of medication or fluid is an implantable pump. These pumps are used for the supply of anti - spasmodic, chemotherapeutic and opioid medicines.

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The key drivers for development will be increased demand for AI assistants, increased operations in the Healthcare industry, the emergence of IoT and the integration of wireless technologies and the growth of wearable component technology.

As the majority of intelligent wearable equipment lacks basic safety mechanisms, an increasing concern for data security in smarts is preventing the growth of the wearable artificial intelligent market. Moreover, the cost of production is high and the consumption of batteries is limited.

Segmentation Outlook

In the forecast period, the earwear market is projected to grow at more than 43 percent. The increasing integration of AI-based voices like Siri and Alexa into the product range by large smartphone manufacturers drives the wearable artificial intelligence (AI) market. The growing popularity of AI-based voice helpers has led to firms like Bragi starting their own intelligent earwears using AI-based voice support to help users conduct different activity using voice commands. Most earwears have biosensors that track the heartbeats of the user and adapt different user experiences. For example, it individualizes soundtracks based on the heart rate of the users. The removal of 3.5 mm jack from smartphones and the increased integration of Bluetooth technology as a solution for traditional wired technology are another catalyst for the adoption of AI-based earwear devices.

Key Players & Strategies

The Wearable Artificial Intelligence (AI) market is consolidated with large number of manufacturers. The company profiling of key players in the market includes major business strategies, company overview and revenues. The key players of the market are Facebook, Apple, Samsung, Garmin, Fossil, Microsoft, HTC, Huawei, Bragi, Jabra, ANTVR, Huami and Google.

Large players like Huawei, Samsung, Facebook, Apple, Fitbit and Microsoft lead the wearable AI market. Large companies are currently working to develop cost-effective solutions to compete with Asia-Pacific regional actors. The tech players have worked with luxury brands to compete better in developing their own premium smartwatch product line with the large watch companies. Apple partnered with Nike and Herms in September 2016, for example, to develop its own premium smart clock offering range. Startups such as Misfit and ANTVR focus on the cost-effective supply of products to take advantage of the large players on the market.

Market Segment Analysis:

Acumen Research report focuses on market attractiveness by assessing the key market segments. The report also combines region-wise segments for a better understanding of the supply and demand ratio of this market. This exclusive study of the report analyzes the present and future market scenario and the industry trends that are influencing the growth of the segments. Besides, the report also covers the value chain analysis, supply chain analysis, and year-on-year basis analysis of this market.

Market Segmentation

Market, by Product

Market, by Application

Market Regional Analysis:

Based on the regions, the global wearable artificial intelligence (AI) competitive market is segmented into -North America (US and Canada), Europe (UK, Germany, France, Spain and Rest of Europe), Asia-Pacific (China, Japan, India, Australia, South Korea and Rest of Asia-Pacific), Latin America (Mexico, Brazil and Rest of Latin America), Middle East & Africa (GCC, South Africa and Rest of MEA).

The market research study on Wearable Artificial Intelligence (AI) Market (By Product: Fitness Band & Smartwatch, Head Mounted Display, Earwear; By Application: Consumer Electronics, Enterprise, Gaming) - Global Industry Analysis, Market Size, Opportunities and Forecast, 2019 - 2026 offers detailed insights on global Wearable Artificial Intelligence (AI) market segments with market dynamics and their impact. The report also covers basic technology development policies.

The report offers an overview of the market and statistical diagrams to support the expected figures. Our analysts predict the market scope and future prospects in an insightful way. The Acumen Research and Consulting report contains a comprehensive analysis of the global market in Wearable Artificial Intelligence (AI) segmented by molecular type, test type and region. The report outlines numerous growth strategies implemented by companies as well as the latest market trends. The market share and current position of all leading players are discussed in detail. It analyzes players ' new revenue sources and highlights the different strategies.

Key Questions Answered in the Report

The report addresses key questions concerning the market evolution and overarching trends shaping global market growth. Some of the key questions answered in the report include-

- What is the overall structure of the market?- What was the historical value and what is the forecasted value of the market?- What are the key product level trends in the market?- What are the market level trends in the market?- Which of the market players are leading and what are their key differential strategies to retain their stronghold?- Which are the most lucrative regions in the market space?

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Comrehensive Report : Artificial Intelligence in Retail Market Global Analysis By Latest Trends, Share, Development And Growth By Regions To 2028 -…

December 17, 2019 | Author: admin

A Recent Research on Global Artificial Intelligence in Retail Market Provides A Professional, Well-designed Insights and In-depth, Comprehensive Analysis that can help you to make better business decisions for business growth.

Global Artificial Intelligence in Retail Market Definitive Research 2019-2028 represents a comprehensive presumption of the market and encloses authenticated figures, imperative future estimations, and facts of the market. Analysis of Artificial Intelligence in Retail market and its upcoming growth prospects is been mentioned with maximum precision. [To Know More Download FREE Sample PDF Here Now]This survey includes an elaborative summary of this market which also includes snapshots that offer the depth of information of various other segmentations. Through the qualitative and quantitative study of key factors that are responsible for boosting or hampering the market growth and the promising opportunities in this market have been provided. primary and assistive technologies for research is been done in detail which helps the players have a strong understanding of the complete market for the forecast period 2019 to 2028.

Well-known Prominent Players in the market are International Business Machines Corporation, Microsoft Corporation, SAP SE, Amazon Web Services Inc, Oracle Corporation, NVIDIA Corporation, Intel Corporation, Google LLC, Sentient Technologies Inc, Salesforce. The company profiles provided in the study include company synopsis, implemented business tactics, and major developments.

Quick Snapshot OfArtificial Intelligence in Retail MarketComprehensive Research Report:

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Compressive outline of Artificial Intelligence in Retail Market depending on key factors and segmentations such as component, deployment mode, technology, application, and region is elaborated. Estimated revenue and volume growth of this market over the mentioned upcoming years is also explained in detail. The former and current state of shares of the major key regions (North America, Europe, Asia-Pacific, Latin America, The Middle East, and Africa) are mentioned such that the idea of the best investment global regions can be drawn out.

Questions Answered for Artificial Intelligence in Retail Market:

There are many questions that we have in our mind when we think of the competition, has counted those questions, and they used the market research report to answer the all-important questions of the Artificial Intelligence in Retail Market.

What is the development rate of the Artificial Intelligence in Retail Market in 2019-2028?

What will be the future market size of the Artificial Intelligence in Retail Market?

Who are the top leading companies in the Artificial Intelligence in Retail Market?

Who are global manufacturers in the Artificial Intelligence in Retail Market?

What are the major Artificial Intelligence in Retail Market Trends 2019-2028?

What are the challenges faced in the Artificial Intelligence in Retail Market?

What are the conclusions of the Artificial Intelligence in Retail Market report?

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Quantum Technology Expert to Discuss Quantum Sensors for Defense Applications at Office of Naval Research (ONR) – Business Wire

December 17, 2019 | Author: admin

ARLINGTON, Va.--(BUSINESS WIRE)--Michael J. Biercuk, founder and CEO of Q-CTRL, will describe how quantum sensors may provide exceptional new capabilities to the warfighter at the Office of Naval Research (ONR) on Jan. 13, 2020, as part of the ONRs 2020 Distinguished Lecture Series.

Quantum sensing is considered one of the most promising areas in the global research effort to leverage the exotic properties of quantum physics for real-world benefit. In his lecture titled Quantum Control as a Means to Improve Quantum Sensing in Realistic Environments, Biercuk will describe how new concepts in quantum control engineering applied to these sensors could dramatically enhance standoff detection and precision navigation and timing in military settings.

Biercuk is one of the worlds leading experts in the field of quantum technology. In 2017, he founded Q-CTRL based on research he led at the Quantum Control Lab at the University of Sydney, where he is a professor of Quantum Physics and Quantum Technology.

Funded by some of the worlds leading investors, including Silicon Valley-based Sierra Ventures and Sequoia Capital, Q-CTRL is dedicated to helping teams realize the true potential of quantum hardware, from sensing to quantum computing. In quantum computing, the team is known for its efforts in reducing hardware errors caused by environmental noise. Computational errors are considered a major obstacle in the development of useful quantum computers and sought-after breakthroughs in science and industry.

Now in its 11th year, the ONR Distinguished Lecture Series features groundbreaking innovators who have made a major impact on past research or are working on discoveries for the future. It is designed to stimulate discussion and collaboration among scientists and engineers representing Navy research, the Department of Defense, industry and academia.

Past speakers include Michael Posner, recipient of the National Medal of Science; Mark Hersam, MacArthur Genius Award recipient and leading experimentalist in the field of nanotechnology; and Dr. Robert Ballard, the deep-sea explorer best-known for recovering the wreck of the RMS Titanic.

I am honored to be taking part in this renowned lecture series, Biercuk said. Quantum technology, which harnesses quantum physics as a resource, is likely to be as transformational in the 21st century as harnessing electricity was in the 19th. I look forward to sharing insights into how Q-CTRLs efforts can accelerate the development of this new field of technology for defense applications.

About the Office of Naval Research

The Department of the Navys Office of Naval Research provides the science and technology necessary to maintain the Navy and Marine Corps technological advantage. Through its affiliates, ONR is a leader in science and technology with engagement in 50 states, 55 countries, 634 institutions of higher learning and nonprofit institutions, and more than 960 industry partners.

ABOUT Q-CTRL

Q-CTRL was founded in November 2017 and is a venture-capital-backed company that provides control-engineering software solutions to help customers harness the power of quantum physics in next-generation technologies.

Q-CTRL is built on Professor Michael J. Biercuks research leading the Quantum Control Lab at the University of Sydney, where he is a Professor of Quantum Physics and Quantum Technology.

The teams expertise led Q-CTRL to be selected as an inaugural member of the IBM Q startup network in 2018. Q-CTRL is funded by SquarePeg Capital, Sierra Ventures, Sequoia Capital China, Data Collective, Horizons Ventures and Main Sequence Ventures.

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Shaping the technology transforming our society – Fermi National Accelerator Laboratory

December 17, 2019 | Author: admin

Technology and society are intertwined. Self-driving cars and facial recognition technologies are no longer science fiction, and data and efficiency are harbingers of this new world.

But these new technologies are only the beginning. In the coming decades, further advances in artificial intelligence and the dawn of quantum computing are poised to change lives in both discernible and inconspicuous ways.

Even everyday technology, like a smartphone app, affects people in significant ways that they might not realize, said Fermilab scientist Daniel Bowring. If there are concerns about something as familiar as an app, then we need to take more opaque and complicated technology, like AI, very seriously.

A two-day workshop took place from Oct. 31-Nov.1 at the University of Chicago to raise awareness and generate strategies for the ethical development and implementation of AI and quantum computing. The workshop was organized by the Chicago Quantum Exchange, a Chicago-based intellectual hub and community of researchers whose aim is to promote the exploration of quantum information technologies, and funded by the Kavli Foundation and the Center for Data and Computing, a University of Chicago center for research driven by data science and AI approaches.

Members of the Chicago Quantum Exchange engage in conversation at a workshop at the University of Chicago. Photo: Anne Ryan, University of Chicago

At the workshop, industry experts, physicists, sociologists, journalists and more gathered to learn, share insights and identify next steps as AI and quantum computing advance.

AI and quantum computing are developing tools that will affect everyone, said Bowring, a member of the workshop organizing team. It was important to us to get as many stakeholders in the room as possible.

Workshop participants listened to presentations that framed concerns such as power asymmetries, algorithmic bias and privacy before breaking out into small groups to deliberate these topics and develop actionable strategies. Groups reported to all attendees after each breakout session. On the last day of the workshop, participants considered how they would nurture the dialogue.

At one of the breakout sessions, participants discussed the balance between collaborative quantum computing research and national security. Today, the results of quantum computing research are dispersed in a wide variety of academic journals, and a lot of code is accessible and open source. However, because of its potential implications for cybersecurity and encryption, quantum computing is also of interest to national security, so it may be subject to intelligence and export controls. What endeavors, if any, should be open source or private? Are these outcomes realizable? What level of control should be maintained? How should these technologies be regulated?

Were already behind on setting ground rules for these technologies, which, if left to progress on their own, could increase power asymmetries in society, said Brian Nord, Fermilab and University of Chicago scientist and member of the workshop organizing team. Our research programs, for example, need to be crafted in a way that does not reinforce or exacerbate these asymmetries.

Workshop participants will continue the dialogue through online and in-person meetings to address key ethical and societal issues in the quantum and AI space. Potential future activities include writing proposals for joint research projects that consider ethical and societal implications, white papers addressed to academic audiences, and media editorials and developing community action plans.

Organizers are planning to hold a panel next spring to engage the public, as well.

The spring event will help us continue to spread awareness and engage a variety of groups on issues of ethics in AI and quantum computing, Nord said.

The workshop was sponsored by the Kavli Foundation in partnership with the Center for Data and Computing at the University of Chicago. Artificial intelligence and quantum information science are two of six initiatives identified as special priority by the Department of Energy Office of Science.

The Kavli Foundation is dedicated to advancing science for the benefit of humanity, promoting public understanding of scientific research, and supporting scientists and their work. The foundations mission is implemented through an international program of research institutes, initiatives and symposia in the fields of astrophysics, nanoscience, neuroscience, and theoretical physics, as well as the Kavli Prize and a program in public engagement with science. Visitkavlifoundation.org.

The Chicago Quantum Exchange catalyzes research activity across disciplines and member institutions. It is anchored by the University of Chicago, Argonne National Laboratory, Fermi National Accelerator Laboratory, and the University of Illinois at Urbana-Champaign and includes the University of Wisconsin-Madison, Northwestern University and industry partners. Visit chicagoquantum.org.

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Comrehensive Report : Quantum Computing Market Global Analysis By Latest Trends, Share, Development And Growth By Regions To 2028 – Sound On Sound…

December 17, 2019 | Author: admin

A Recent Research on Global Quantum Computing Market Provides A Professional, Well-designed Insights and In-depth, Comprehensive Analysis that can help you to make better business decisions for business growth.

Global Quantum Computing Market Definitive Research 2019-2028 represents a comprehensive presumption of the market and encloses authenticated figures, imperative future estimations, and facts of the market. Analysis of Quantum Computing market and its upcoming growth prospects is been mentioned with maximum precision. [To Know More Download FREE Sample PDF Here Now]This survey includes an elaborative summary of this market which also includes snapshots that offer the depth of information of various other segmentations. Through the qualitative and quantitative study of key factors that are responsible for boosting or hampering the market growth and the promising opportunities in this market have been provided. primary and assistive technologies for research is been done in detail which helps the players have a strong understanding of the complete market for the forecast period 2019 to 2028.

Well-known Prominent Players in the market are International Business Machines (IBM) Corporation, Google Inc, Microsoft Corporation, Qxbranch LLC, Cambridge Quantum Computing Ltd, 1QB Information Technologies Inc, QC Ware Corp., Magiq Technologies Inc, D-Wave Systems Inc, Rigetti Computing. The company profiles provided in the study include company synopsis, implemented business tactics, and major developments.

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Compressive outline of Quantum Computing Market depending on key factors and segmentations such as component, application, end-use industry, and region is elaborated. Estimated revenue and volume growth of this market over the mentioned upcoming years is also explained in detail. The former and current state of shares of the major key regions (North America, Europe, Asia-Pacific, Latin America, The Middle East, and Africa) are mentioned such that the idea of the best investment global regions can be drawn out.

Questions Answered for Quantum Computing Market:

There are many questions that we have in our mind when we think of the competition, has counted those questions, and they used the market research report to answer the all-important questions of the Quantum Computing Market.

What is the development rate of the Quantum Computing Market in 2019-2028?

What will be the future market size of the Quantum Computing Market?

Who are the top leading companies in the Quantum Computing Market?

Who are global manufacturers in the Quantum Computing Market?

What are the major Quantum Computing Market Trends 2019-2028?

What are the challenges faced in the Quantum Computing Market?

What are the conclusions of the Quantum Computing Market report?

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Anyscale, from the creators of the Ray distributed computing project, launches with $20.6M led by A16Z – TechCrunch

December 17, 2019 | Author: admin

Open source has become a critical building block of modern software, and today a new startup is coming out of stealth to capitalise on one of the newer frontiers in open source: using it to build and manage distributed application environments, an approach being used increasingly to handle large computing projects, such as those involving artificial intelligence or scientific or other complex calculations.

Anyscale, a startup founded by the same team that built the Project Ray open source distributed programming framework out of UC Berkeley Robert Nishihara, Philipp Moritz, and Ion Stoica, and Berkeley professor Michael I. Jordan has raised $20.6 million in a Series A round of funding led by Andreessen Horowitz, with participation also from NEA, Intel Capital, Ant Financial, Amplify Partners, 11.2 Capital, and The House Fund.

The company plans to use the money to build out its first commercial products details of which are still being kept under wraps but will more generally include the ability to easily scale out a computing project from one laptop to a cluster of machines; and a group of libraries and applications to manage projects. These are expected to launch next year.

Right now we are focused on making Ray a standard fo building applications, said Stoica in an interview. The company will build tools and a runtime platform for Ray. So, if you want to run a Ray application securely and with high performance then you will use our product.

The funding is partly strategic: Intel is one of the big companies that has been using Ray for its own computing projects, alongside Amazon, Microsoft and Ant Financial.

Intel IT has been leveraging Ray to scale Python workloads with minimal code modifications, said Moty Fania, Principal Engineer and Chief Technology Officer for Intel ITs Enterprise and Platform Group, in a statement. With the implementation into Intels manufacturing and testing processes, we have found that Ray helps increase the speed and scale of our hyperparameter selection techniques and auto modeling processes used for creating personalized chip tests. For us, this has resulted in reduced costs, additional capacity and improved quality.

With a impressive user list like this for the free-to-use Ray, you might ask yourself, what is the purpose of Anyscale? As Stoica and Nishihara explained, the idea will be to create simpler and easier ways to implement Ray, to make it usable whether youre one of the Amazons of the world, or a more modest, and possibly less tech-centric operation.

We see that this will be valuable mostly for companies who do not have engineering experts, Stoica said.

The problem that Anyscale is solving is a central one to the future of large-scale, involved computing projects: there are an increasing array of problems that are being tackled with computing solutions, but as the complexity of the work involved increases, there is a limit to how much work a single machine (even a big one) can handle. (Indeed, Anyscale cites IDC figures estimating that the amount of data created and copied annually will reach 175 zettabytes by 2025.)

While one day there may be quantum-computing machines that can run efficiently and at scale to address these kinds of tasks, today this isnt a realistic option, and so distributed computing has emerged as a solution.

Ray was devised as a standard to use to implement distributed computing environments, but on its own its too technical for the uninitiated to use.

Imagine youre a biologist, added Nishihara. You can write a simple program and run it at a large scale, but to do that successfully you need not only to be a biology expert but a computing expert. Thats just way too high a barrier.

The people behind Anyscale (and Ray) have a long and very credible list of other work behind them already that speaks to the opportunities that are being spotted here. Stoica, for example, was also the co-founder of Databricks, Conviva and one of the original developers of Apach Spark.

I worked on Databricks with Ion and thats how it started, Andreessen Horowitz co-founder Ben Horowitz said in an interview. He added that the firm has been a regular investor into projects coming out of UC Berkeley. Ray and more specifically Anyscale is notable for its relevance to todays computing needs.

With Ray it was a very attractive project because of the open source metrics but also because of the issue it addresses, he said.

Weve been grappling with Moores Law being over, but more interestingly, its inadequate for things like artificial intelligence applications, where increasing computing power is needed that outstrips what any single machine can do. You have to be able to deal with distributed computing ,but the problem for everyone but Google is that distributed computing is hard, so we have been looking for a solution.

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Anyscale, from the creators of the Ray distributed computing project, launches with $20.6M led by A16Z - TechCrunch

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