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Professor Xindong Wu, Chief Scientist of Mininglamp Technology, Invited to Dialogue with Singapore Officials

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On July 3, 2019, Xindong Wu, Chief Scientist of Mininglamp Technology, was invited to attend an Exchange Meeting with Singapore government delegation, headed by Mr. S Iswaran, Minister for Communications and Information & Minister-in-Charge of Trade Relations, held at Tsinghua Science and Technology Park. Professor Wu, introduced Mininglamp as a leading AI technology company, with a solid AI foundation framework, a talent pool, and several established business domains.

Through Professor Wu’s presentation, a blueprint on how to interpret Minginglamp as a leading provider of one-stop AI products and service platforms was delivered.

Professor Wu’s Speech on Miniglamp:

AI is our Gene

I’m Xindong Wu, the Chief Scientist of Mininglamp Technology, which is a truly AI company. Our CEO graduated from the AI Laboratory of Peking Universityand I graduated from the Department of Artificial Intelligence of Edinburg University. Currently, there are 136 AI specialists in our company, among a total of around 2,300 people doing AI related services for enterprises, public sectors and new services for emerging applications. Let me share with you a piece of award information. Mininglamp just won an MIT Technology Review Award on June 29, 2019, as one of the 50 Smartest Companies in China, which include Chinese domestic companies, like us, Huawei and Tencentmultinational companies operating in China, like Microsoft and Inteland joint ventures established by Chinese and overseas companies.

In short, we are AI people doing the smartest AI business. In the company name of Mininglamp, the Mining part obviously has AI indications. We are a leading one-stop AI enterprise, providing AI products and service platforms for enterprises, government sections, and new technologies in the catering industry and others.

AI is our Silver Bullet

We started our business in enterprise services for advertisement intelligence in 2006, and then expanded into public safety in 2014, and now invest efforts in intelligent catering services, which is a big step that integrates online and offline data services for one-stop AI applications. We have also started to incorporate hardware related activities into software analytics as well.

Since I assumed duty at Mininglamp, we have been constructing the Mininglamp Academy of Sciences, which not only conducts business-related technology development but also promotes academic research on selected AI topics in the scientific community. The Academy now has well-known Fellows from the Chinese Academy of Science, the Chinse Academy of Engineering, the Royal Society of Britain, and the Royal Society of Canada. In addition to the 136 AI scientists I mentioned above, the Academy also provides guidance and information exchanges to other Mininglamp sections to keep them up to date on business-related technologies.

AI is our Motto

The Big Wisdom framework was recently developed by Wu Wu, Minghui Wu and Xindong Wu, which is our company’s motto. What we have been doing since 2012 is Big Data, and then Big Knowledge in 2016. We extract useful pieces of information from data, form large connected knowledge bases, and then put Big Knowledge into action, which is what we term as Big Wisdom. The purpose of extracting useful information is to put it into business and practice, and then generate business value. From data collection to action generation, the middle is to combine human intelligence, artificial intelligence, and organizational intelligence, which can be abbreviated as HAO intelligence, for complex problem-solving.

 

SOURCE Mininglamp Technology

Artificial Intelligence

U.S. News & World Report Announces 2020 Best Global Universities Rankings

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U.S. News & World Report, the global authority in education rankings, today published the 2020 edition of the Best Global Universities rankings. In the most comprehensive assessment of research universities worldwide, the new edition evaluates 1,500 schools – up from 1,250 last year – on academic research and reputation.

The top 10 schools in the overall ranking are all found in either the U.S. or the United KingdomHarvard University remains at No. 1, followed by Massachusetts Institute of TechnologyStanford University and the University of California—Berkeley at No. 2, 3 and 4, respectively. The University of Oxford rounds out the top five.

The new edition evaluates schools in 81 countries – up from 75 last year. The U.S. has the most universities in the overall ranking with 249, followed by the following countries:

  • China: 188
  • U.K.: 86
  • Japan: 82
  • Germany: 66

“As the Best Global Universities rankings continue to expand in number of schools and subjects to fulfill the needs of prospective students, we remain consistent in our mission to evaluate schools around the world on their research,” said Robert Morse, chief data strategist at U.S. News. “A major emphasis on academic research is what sets this methodology apart from our other university rankings.”

New this year are six additional subject rankings, bringing the total to 28: oncology, surgery, cardiac and cardiovascular systems, electrical and electronic engineering, mechanical engineering and civil engineering. In both the engineering and computer science rankings, four of the top 10 schools are based in China.

The following countries performed the best in each of these subjects, listed in order of most schools on each list:

Based on Web of Science data and InCites metrics provided by the Web of Science Group, the Best Global Universities methodology weighs factors that measure a university’s global and regional research reputation and academic research performance. For the overall rankings, this includes bibliometric indicators such as publications, citations and international collaboration. Each subject ranking has its own methodology based on academic research performance and reputation in that specific area.

“Many prospective students are looking to other countries for their education,” said Anita Narayan, managing editor of Education at U.S. News. “The Best Global Universities rankings give these students a starting point for their search. In addition to the rankings, students should also consider their fluency in the language of instruction, the fields of study that the school offers and the costs that come from studying in another country.”

2020 U.S. News & World Report Best Global Universities

Overall Best Global Universities – Top 10

  1. Harvard University (U.S.)
  2. Massachusetts Institute of Technology (U.S.)
  3. Stanford University (U.S.)
  4. University of California—Berkeley (U.S.)
  5. University of Oxford (U.K.)
  6. California Institute of Technology (U.S.)
  7. Columbia University (U.S.)
  8. Princeton University (U.S.)
  9. University of Cambridge (U.K.)
  10. University of Washington (U.S.)

Africa – Top 3

  1. University of Cape Town (South Africa)
  2. University of Witwatersrand (South Africa)
  3. Stellenbosch University (South Africa)

Asia – Top 3

  1. National University of Singapore
  2. Tsinghua University (China)
  3. Nanyang Technological University (Singapore)

Australia/New Zealand – Top 3

  1. University of Melbourne (Australia)
  2. University of Sydney
  3. University of Queensland (Australia)

Europe – Top 3

  1. University of Oxford (U.K.)
  2. University of Cambridge (U.K.)
  3. Imperial College London

Latin America – Top 3

  1. Universidade de São Paulo (Brazil)
  2. Pontificia University Católica de Chile
  3. State University of Campinas (Brazil)

The Best Global Universities rankings serve the broader U.S. News mission of providing trusted information and rankings – such as Best CollegesBest Graduate Schools and Best Online Programs – to help all students navigate their higher education options. Specifically for Chinese students, U.S. News offers online resource centers published in Chinese to help guide prospective undergraduate and graduate students interested in studying abroad.

 

SOURCE U.S. News & World Report

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SAS is No. 1 in advanced and predictive analytics market share, says analyst report

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SAS again ranks number one for market share, according to the IDC report, Worldwide Big Data and Analytics Software 2018 Market Shares: Demand Across All Use-Case Patterns.1

SAS led with a 27.7% market share in the advanced and predictive analytics category in 2018, more than twice that of the next competitor. SAS has led in the predictive and advanced analytics category since IDC started tracking the market in 1997 and has shown continued revenue growth in the category each year.

“As the volume and complexity of data grows, and as organizations seek to make better, faster business decisions, the need for advanced and predictive analytics like those from SAS is expanding,” said Chandana Gopal, Research Manager for Business Analytics at IDC. “SAS is the leader in advanced and predictive analytics market share and has experienced continued growth year over year.

“SAS continues to innovate in AI and the technologies that underpin it like machine learning, natural language generation and computer vision. The analytics leader remains laser-focused on meeting the market’s evolving need for powerful analytics to transform data into value.”

SAS reinvests into R&D more than twice the average for major technology firms. In 2018, SAS devoted 26% of its overall revenue into developing artificial intelligence (AI), IoT, data management and analytics software. To continue fostering innovation and progress in analytics, SAS has committed to invest $1 billion in AI over the next three years.

“Our continuous innovation, clearly exhibited in the SAS Platform and in SAS AI technologies, propels front-line managers, executives and data scientists to change the trajectory of their organizations with advanced analytics,” said Jim Goodnight, CEO of SAS. “Whether it’s providing teams of data scientists with advanced machine learning capabilities or delivering analytics that give decision makers real-time answers, SAS is committed to helping put data and analytics to work, making them accessible to all types of users and driving value to an organization’s bottom line.”

Additionally, SAS ranks second in AI software market share according to the IDC report, Worldwide Analytic Artificial Intelligence Software Platform Market Shares, 2018: Steady Growth – Moving Toward Production (Doc #US45262419, June 2019). The report notes that while the overall AI market saw steady growth last year, SAS experienced growth at a rate more than three times faster than the overall market at 104.6%.

The SAS® Platform provides a strong analytics foundation and a single place to manage and support every phase of an organization’s analytics journey, from initial gathering and preparing of data, through development, management and enterprise deployment of powerful analytical models. An integrated part of the SAS Platform, SAS® Viya® is a cloud-enabled, in-memory analytics engine that provides quick, accurate and reliable analytical insights.

Read about how SAS customers succeed with advanced analytics.

Today’s announcement was made at the Analytics Experience conference in Milan, Italy, a business technology conference presented by SAS that brings together thousands of attendees on-site and online to share ideas on critical business issues.

 

SOURCE SAS

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Neurotechnology Ranks First in Latest MINEX III Results

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Neurotechnology, a provider of high-precision biometric identification technologies, today announced their latest results in the NIST MINEX III (Minutiae Interoperability Exchange) evaluation. Algorithms from Neurotechnology are top in accuracy and are ranked first in both leaderboard categories: 1) most interoperable fingerprint template generator and 2) most interoperable fingerprint template generator and matcher pair.

“I am proud of our research team for having created the most interoperable and accurate fingerprint recognition algorithm,” said Dr. Justas Kranauskas, head of the biometric research department for Neurotechnology. “An independent confirmation like this means that our customers can have confidence in our continually evolving and improving technologies.”

In addition to having the most interoperable solution, Neurotechnology’s template generator and template matcher are also the second fastest in the MINEX III evaluation leaderboard.

The currently topped-ranked Neurotechnology fingerprint algorithm evaluated at NIST MINEX III is included in the Neurotechnology MegaMatcher multibiometric product line which covers fingerprint (VeriFinger), face (VeriLook), eye iris (VeriEye) and voice (VeriSpeak) modalities. It is also included in solutions for large and national-scale applications in Neurotechnology’s MegaMatcher Automated Biometric Identification System (ABIS) and MegaMatcher Accelerator products.

The entire Neurotechnology biometric product line can be purchased from Neurotechnology and through distributors worldwide. For more information, go to www.neurotechnology.com.

 

SOURCE Neurotechnology

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