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WORLD’S MOST INFLUENTIAL COMPUTING SOCIETY ANNOUNCES NEWLY-ELECTED LEADERSHIP

 

New Officers Emphasize Role of Computing to Address Societal Challenges


New York, NY, May 28, 2020
 – ACM, the Association for Computing Machinery, has announced the election of new officers who will lead the organization for a two-year term beginning July 1. Heading the new team will be incoming President Gabriele Kotsis. Kotsis is Professor and Head of the Department of Telecooperation at Johannes Kepler University in Linz, Austria. Joining Kotsis as Vice President will be Joan Feigenbaum, Grace Murray Hopper Professor of Computer Science at Yale University; and, as Secretary/Treasurer, Elisa Bertino, Samuel Conte Professor of Computer Science at Purdue University.  


In addition, Members-at-Large elected to four-year terms are Nancy M. Amato, Abel Bliss Professor and Department Head of Computer Science, University of Illinois at Urbana-Champaign; Tom Crick, Professor of Digital Education & Policy, Swansea University, Swansea, UK; Susan Dumais, Technical Fellow and Director, Microsoft Research Labs, New England; Mehran Sahami, Professor (Teaching) and Associate Chair for Education, Stanford University; and Alejandro Saucedo, Engineering Director (Machine Learning), Seldon Technologies and Chief Scientist, The Institute for Ethical AI & Machine Learning, London, UK.

 

President-elect Kotsis said her key priorities include using ACM’s global reach and the expertise of its membership to address pressing problems in society. “No other discipline or technology will have more impact on shaping our future than computer science and technology,” said Kotsis. “Global problems must be addressed in a global way, independently from a particular individual, national or commercial interest. Computing can play a role in fighting the CO2 dilemma, fertilizing medical research and healthcare, and protecting our democracy.” Kotsis also emphasized that ACM must continue to be a leading voice for fostering ethics in the field. “Our community must lead, not only from a scientific and technical perspective in being able to provide correct solutions, but also from an ethical and societal point of view,” she added.

 

Kotsis is a founding member of the ACM Europe Council, serving from 2008 to 2016. She has organized ACM conferences and workshops, and in 2016 received an award in appreciation of her accomplishments regarding the ACM womENcourage conference series. In 2014, she became an ACM Distinguished Member for her contributions to workload characterization for parallel and distributed systems, and for founding ACM Europe. Since 2016, she has been an elected Member-at-Large of the ACM Council.

Joan Feigenbaum, incoming ACM Vice President, echoed Kotsis’s vision for ACM to play an active role in utilizing computing to foster a better future. “ACM members can address myriad threats now facing society,” said Feigenbaum. “These threats combine sophisticated computation in critical ways with politics (as in ‘election hacking’), economics (as in technology-induced unemployment), journalism (as in ‘fake news’), law (as in mass surveillance in the name of national security), international relations (as in ‘cyberwar’), finance (as in bitcoin speculation), and many other fields. In tackling them, computer scientists will work collaboratively with people in social sciences, law, and many disciplines besides the STEM fields with which we have collaborated for decades.”

 

A member of ACM since graduate school, Feigenbaum has served in many roles, including SIGACT Executive Committee member from 2005 to 2009 and SIGEcom Vice Chair from 2005 to 2011. During her tenure with SIGEcom, she played a leading role in establishing ACM Transactions on Economics and Computation (TEAC). Most recently, she led the creation of the ACM Symposium on Computer Science and Law and served as General Chair for the inaugural symposium in 2019.

 

Newly-elected ACM Secretary/Treasurer Elisa Bertino, an ACM member for 38 years, would like ACM to be a leading voice in areas including AI and data ethics, data transparency, and sustainability. “I will also focus on important matters, such as broadening diversity in our field, supporting younger researchers and open access to data and publications,” said Bertino. “Last, but not least, I would like to make sure that ACM stays technically relevant by organizing workshops and conferences on new emerging technologies and applications.”

 

Bertino served as Editor-in-Chief of IEEE Transactions on Dependable and Secure Computing and    coordinating Co-Editor-in-Chief of Very Large Database Systems (VLDB). She chaired ACM’s Special Interest Group on Security, Audit and Control (SIGSAC) from 2009 to 2013.  In 2011, she co-founded ACM’s Conference on Data and Application Security and Privacy (CODASPY), now considered the main forum for high-quality research on data privacy and security. She is the recipient of the 2019-2020 ACM Athena Lecturer Award.

 

 

About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

 

Contact:              

Jim Ormond                              

212-626-0505

This email address is being protected from spambots. You need JavaScript enabled to view it.

 

 

 
 

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Pune, May 25, 2020 (GLOBE NEWSWIRE) -- The global AI market is set to gain momentum from the rising utilization of cloud-based services and applications worldwide. Also, the increasing adoption of connected devices would impact the market positively in the coming years. This information is published by Fortune Business Insights™ in a recent report, titled, “Artificial Intelligence (AI) Market Size, Share and Industry Analysis By Component (Hardware, Software, Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, Others), By Industry Vertical (BFSI, Healthcare, Manufacturing, Retail, IT & Telecom, Government, Others) and Regional Forecast, 2019-2026.” The report further states that the global AI market size stood at USD 20.67 billion in 2018 and is projected to reach USD 202.57 billion by 2026, thereby exhibiting a CAGR of 33.1% during the forecast period.

Highlights of This Report:

  • Profiles of the prominent enterprises operating in the market.
  • Thorough analysis of the crucial strategies adopted by these enterprises to aid the client in understanding the competitive scenario of the market.
  • Elaborate research on the AI-based product positioning.
  • In-depth information regarding the emerging and current market dynamics, trends, growth drivers, and obstacles.



Get Sample PDF Brochure:
 https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/artificial-intelligence-market-100114



An Overview of the Impact of COVID-19 on this Market:

The emergence of COVID-19 has brought the world to a standstill. We understand that this health crisis has brought an unprecedented impact on businesses across industries. However, this too shall pass. Rising support from governments and several companies can help in the fight against this highly contagious disease. There are some industries that are struggling and some are thriving. Overall, almost every sector is anticipated to be impacted by the pandemic.

We are taking continuous efforts to help your business sustain and grow during COVID-19 pandemics. Based on our experience and expertise, we will offer you an impact analysis of coronavirus outbreak across industries to help you prepare for the future.


Click here to get the short-term and long-term impact of COVID-19 on this Market.

Please visit:
 https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-market-100114


Drivers & Restraints-


Rising Demand for Industrial Robots to Propel Growth 

The rising demand for customized robots is a vital driver of the AI market growth. Numerous reputed organizations in the developed nations are presently engaging in the development and supply of industrial robots equipped with the AI technology. Japan and South Korea, for instance, supplied approximately 38,600 and 41,400 units of industrial robots in 2016, respectively. Also, in the same year, China provided almost 87,000 units across the globe. Apart from that, AI technology is mainly required in the retail sector for enhancing customer service. Coupled with this, the increasing usage of machine learning (M2P and M2M) would contribute to the market growth. However, the rising concerns regarding the unreliability of AI algorithms and data privacy may hamper the market growth.


Segment-


Natural Language Processing Segment to Dominate Owing to Its Usage in Various Applications

In terms of technology, the market is segregated into natural language processing, machine learning, computer vision, and others. Amongst these, the computer vision segment held 22.5% AI market share in 2018. This system helps in identifying and detecting patterns. It also synthesizes, analyses, and acquires realistic interactive interfaces. Then, it utilizes the ID tags to showcase pictures of associated items. The natural language processing segment currently accounts of the maximum share as it is adopted for a wide range of applications, such as Informational Retrieval (IR), speech processingsemantic disambiguationtext parsing, and machine translation.



Speak to Analyst:
 https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/artificial-intelligence-market-100114



Regional Analysis-

Rising Adoption of AI by Biopharma Companies to Favor Growth in Asia Pacific

In 2018, North America procured USD 9.72 billion revenue and is set to remain in the leading position throughout the forecast period. This growth is attributable to the ongoing technological advancements in the fields of natural language processing, machine learning, and analytical tools. Besides, the rising awareness programs regarding the benefits of AI tools and systems would propel growth in this region. Asia Pacific, on the other hand, is expected to grow considerably backed by the major contribution of China. The government of this country is planning to merge with Baidu to support the implementation of AI and develop a deep learning laboratory consisting of military, manufacturing, smart agriculture, and intelligent logistics. Apart from that, AI is being extensively adopted by a large number of biopharma companies in this region. Developed nations, such as Japan are investing hefty amounts of money in creating AI algorithms to analyze large volumes of data. 

Competitive Landscape-

Key Players Focus on Launching New Products to Strengthen Position

The market is fragmented with various companies operating across the world. They are mainly focusing on investing huge sums to develop new products. Numerous start-ups are adopting the strategy of mergers and acquisitions. Some of the others are considering the impact of the outbreak of Covid-19 pandemic and are making novel solutions to help people in performing various tasks. Below are a couple of the recent industry developments:

  • May 2020: Voicezen, a start-up based in Delhi, was successfully acquired by Bharti Airtel in an all-cash deal. The former specializes on conversational AI technologies. This deal would aid Airtel in gaining access to the former’s technologies. The company is planning to deploy those technologies in multiple languages across its large consumer touch points.
  • May 2020: TCS iON unveiled its latest AI-based product called Remote Assessments. The company developed the product by keeping in mind the effects of Covid-19 pandemic on the education system. It has impacted the examination schedules of universities, schools, and colleges worldwide. This new product would help in conducting exams efficiently and securely from the students’ choice of location.


Fortune Business Insights™ lists out the names of all the AI service providers present in the global market. They are as follows:

  • Verint Systems Inc. (Next IT Corp)
  • Baidu
  • Alphabet (Google Inc.)
  • NVIDIA
  • Apple Inc.
  • Qlik Technologies Inc.
  • IBM Corporation
  • MicroStrategy, Inc.
  • Microsoft Corporation
  • IPsoft



Quick Buy – 
AI Market Research Report https://www.fortunebusinessinsights.com/checkout-page/100114



Detailed Table of Content

  • Introduction
    • Definition, By Segment
    • Research Approach
    • Sources
  • Executive Summary
  • Market Dynamics
    • Drivers, Restraints and Opportunities
    • Emerging Trends
  • Key Insights
    • Macro and Micro Economic Indicators
    • Consolidated SWOT Analysis of Key Players
    • Porter’s Five Forces Analysis
  • Global Artificial Intelligence (AI) Market Analysis, Insights and Forecast, 2015-2026
    • Key Findings / Summary
    • Market Size Estimates and Forecasts
      • By Offering (Value)
        • Hardware
        • Software
        • Services
      • By Technology (Value)
        • Computer Vision
        • Machine Learning
        • Natural Language Processing
        • Others
      • By End Use Industry (Value)
        • Healthcare
        • Retail
        • Advertising & Media
        • BFSI
        • Automotive & Transportation
        • Government
        • Manufacturing
        • Others
      • By Geography (Value)
        • North America
        • Europe
        • Asia Pacific
        • Middle East and Africa
        • Latin America

TOC Continued...!!!



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 https://www.fortunebusinessinsights.com/enquiry/customization/artificial-intelligence-market-100114



Have a Look at Related Research Insights:

Home Automation Market Size, Share and Industry Analysis by Product Type (Luxury, Mainstream, Managed, DIY Do It Yourself Home Automation System), Application (Safety and Security, Lighting, Entertainment, Heating, Ventilation and Air conditioning), Networking Technology (Wired & Wireless) and Regional Forecast 2018-2025

Identity And Access Management Market Size, Share and Industry Analysis By Component (Provisioning, Directory Services, Single Sign-On, Others), By Deployment Model (Cloud, On-Premises), By Enterprise Size (Large Enterprises, Small and Medium Enterprises), By Industry Vertical (BFSI, IT and Telecom, Retail and Consumer Packed Goods, Others) And Regional Forecast 2019-2026

Speech and Voice Recognition Market Size, Share & Industry Analysis, By Component (Solution, Services), By Technology (Voice Recognition, Speech Recognition), By Deployment (On-Premises, Cloud), By End-User (Healthcare, IT and Telecommunications, Automotive, BFSI, Government, Legal, Retail, Travel and Hospitality and Others) and Regional Forecast, 2019 - 2026

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About Us:

Fortune Business Insights™ offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in. 

Our reports contain a unique mix of tangible insights and qualitative analysis to help companies achieve sustainable growth. Our team of experienced analysts and consultants use industry-leading research tools and techniques to compile comprehensive market studies, interspersed with relevant data. 

At Fortune Business Insights™, we aim at highlighting the most lucrative growth opportunities for our clients. We therefore offer recommendations, making it easier for them to navigate through technological and market-related changes. Our consulting services are designed to help organizations identify hidden opportunities and understand prevailing competitive challenges.

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Read Press Release https://www.fortunebusinessinsights.com/press-release/artificial-intelligence-market-9227

Source: GlobalNewsWire

ACM HONORS COMPUTING INNOVATORS FOR ADVANCES IN RESEARCH, EDUCATION AND INDUSTRY

 

Computing Visionaries Made Contributions in Areas Including

Internet, Algorithms and Artificial Intelligence

 

New York, NY, May 20, 2020 – ACM, the Association for Computing Machinery, today announced the recipients of three prestigious technical awards. These leaders were selected by their peers for making contributions to some of the most impactful and fastest-growing fields in technology.

 

Paul Mockapetris, Chief Scientist at ThreatSTOP, receives the ACM Software System Award for development of the Domain Name System (DNS), which provides the worldwide distributed directory service that is an essential component of the functionality of the global internet.

 

When the internet was first deployed in the early 1980s, the online community relied on a centrally- managed directory that matched human-friendly host names to numerical IP addresses of computers on the network. As the internet began to grow more rapidly, maintaining a single centralized host directory became slow and unwieldy, necessitating a new scalable architecture. To address this need, in 1983, Mockapetris designed and built the Domain Name System (DNS), creating the associated query protocol, a server implementation, and initial root servers. Taken together, these components provided the first stable operational DNS system.

 

When Mockapetris initially designed the DNS, the number of name lookups to establish the associated IP address were in the few thousands per day. Today, while still employing the core components that Mockapetris introduced 37 years ago, the DNS manages 350 million separately-managed domains, and responds to several tens of billions of queries each day.

 

DNS serves as a foundation for dozens of other applications, including email and web addresses. The Universal Resource Locator (URL) and Universal Resource Identifier (URI)—core components the World Wide Web—rely on domain names as introduced in the DNS system. While many of the new features of the DNS have been added by others, the ability of Mockapetris’s original design to incorporate these updates is a testament to his work.

 

The ACM Software System Award is presented to an institution or individual(s) recognized for developing a software system that has had a lasting influence, reflected in contributions to concepts, in commercial acceptance, or both. The Software System Award carries a prize of $35,000. Financial support for the Software System Award is provided by IBM.

 

Noga Alon, Princeton University and Tel Aviv University; Phillip Gibbons, Carnegie Mellon University; Yossi Matias, Google and Tel Aviv University; and Mario Szegedy, Rutgers University, receive the ACM Paris Kanellakis Theory and Practice Award for seminal work on the foundations of streaming algorithms and their application to large-scale data analytics.


Alon, Gibbons, Matias and Szegedy pioneered a framework for algorithmic treatment of streaming massive datasets. Today, their sketching and streaming algorithms remain the core approach for streaming big data and constitute an entire subarea of the field of algorithms. Additionally, the concepts of sketches and synopses that they introduced are now routinely used in a variety of data analysis tasks in databases, network monitoring, usage analytics in internet products, natural language processing and machine learning.


In their seminal paper, “The Space Complexity of Approximating the Frequency Moments,” Alon, Matias and Szegedy laid the foundations of the analysis of data streams using limited memory. Follow-up papers, including “Tracking Join and Self-join Sizes in Limited Storage,” by Alon, Gibbons, Matias, and Szegedy, and “New Sampling-Based Summary Statistics for Improving Approximate Query Answers,” by Gibbons and Matias, expanded on the idea of data synopses and were instrumental in the development of the burgeoning fields of streaming and sketching algorithms. This work has been applied to query planning and processing in databases and the design of small synopses to monitor vast quantities of data generated in networks. 

 

The ACM Paris Kanellakis Theory and Practice Award honors specific theoretical accomplishments that have had a significant and demonstrable effect on the practice of computing. This award is accompanied by a prize of $10,000 and is endowed by contributions from the Kanellakis family, with additional financial support provided by ACM's Special Interest Groups on Algorithms and Computation Theory (SIGACT), Design Automation (SIGDA), Management of Data (SIGMOD), and Programming Languages (SIGPLAN), the ACM SIG Projects Fund, and individual contributions.

 

Lydia E. Kavraki, Rice University, and Daphne Koller, Stanford University and Insitro, receive the ACM-AAAI Allen Newell Award. 

 

Lydia Kavraki is recognized for pioneering contributions to robotic motion planning, including the invention of randomized motion planning algorithms and probabilistic roadmaps, with applications to bioinformatics and biomedicine.

 

Kavraki conducted foundational work on physical algorithms and developed efficient high-dimensional search frameworks that impacted robotics (motion planning, hybrid systems, formal methods in robotics, assembly planning, and micro- and flexible manipulation), as well as computational structural biology, translational bioinformatics, and biomedical informatics. 

 

Kavraki has authored more than 240 peer-reviewed publications and is a co-author of the widely used robotics textbook, Principles of Robot Motion. Her seminal paper, “Probabilistic Roadmaps for Path Planning in High Dimensional Configuration Spaces,” (with Svestka, Latombe and Overmars) was the first to establish a probabilistic approach to developing roadmaps for high-dimensional spaces, which has become one of the key techniques for motion planning for complex physical systems. 

 

Kavraki’s contributions go beyond robotics to address problems underlying the functional annotation of proteins, the understanding of metabolic networks, and the investigation of molecular conformations and protein flexibility. She has contributed to problems that involve reasoning about the three-dimensional structure of biomolecules and their ability to interact with other biomolecules primarily for drug design and, more recently, for personalized cancer immunotherapy.

 

Daphne Koller is recognized for seminal contributions to machine learning and probabilistic models, the application of these techniques to biology and human health, and for contributions to democratizing education.

 

Koller was a leader in the development and use of graphical models, including learning the model structure as well as its parameters, and pioneered the unification of statistical learning and relational modelling languages. She also developed foundational methods for inference and learning in temporal models.  Her textbook (with Nir Friedman), Probabilistic Graphical Models, is the definitive text in this area. 

 

As an early leader in bringing machine learning methods to the life sciences, she developed Module Networks, wherein she and her colleagues harnessed modularity in gene regulatory programs to build an effective model of gene activity.  She has developed groundbreaking applications of machine learning to pathology, work that not only demonstrated the ability of machine learning to outperform human pathologists, but also was one of the first to highlight the importance of the stromal tissue in cancer prognosis (now well-recognized). 

 

Koller is also the co-founder and former co-CEO of Coursera, a platform offering free education from top universities to people worldwide. Coursera, now in its eighth year, has touched the lives of over 50 million learners in every country in the world. Koller is currently the founder and CEO of Insitro, a biotech startup that works to discover better medicines through the integration of machine learning and biology at scale.

 

The ACM - AAAI Allen Newell Award is presented to an individual selected for career contributions that have breadth within computer science, or that bridge computer science and other disciplines. The Newell award is accompanied by a prize of $10,000, provided by ACM and the Association for the Advancement of Artificial Intelligence (AAAI), and by individual contributions.

 

About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.  

 

 

Contact:              

Jim Ormond

212-626-0505

This email address is being protected from spambots. You need JavaScript enabled to view it.

 

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Speaker Bio

Dr. Eytan Herzig is a Staff Research Scientist in the Gladstone Center for HIV Cure Research, where he leads the use of new technologies to fight HIV. After completing his Ph.D. education at the Tel Aviv University, he worked as a postdoctoral fellow at Tel Aviv University and at Gladstone.

https://www.creative-biolabs.com/car-t/convertiblecar-t-a-highly-adaptable-car-t-platform-to-fight-hiv.htm

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