SummaryA New Market Study, titled “3D Reconstruction Technology Market Upcoming Trends, Growth Drivers and Challenges” has been featured on Market Research Future.OverviewThe increase in image-based 3D modeling is projected to spur the 3D reconstruction technology market in 2020.The ICT industry reports are produced by Market Research Future, which highlights market options for expansion.The segment of Computer-aided geometric design (CAGD) includes computer animation, virtual reality, computer vision, medical imaging, computational science, computer graphics, digital media, and others.It has been detected that the North American regional market is responsible for the principal segment in the 3D reconstruction technology market due to robust infrastructure, implementation of superior 3D technology in industries such as films & games, construction, 3D printing, drones, and robots.The emerging economies from mounting nations such as China and other Southeast Asian countries are anticipated to be the core driving feature for the development of the 3D reconstruction technology market.The other factors, such as the accomplishment of 3D technology in a range of industry verticals such as gaming, construction, entertainment, healthcare is aiding the market augmentation.Competitive AnalysisThe financial backing provided by the administrations and trade bodies is anticipated to reclaim the situation in the approaching years.
(Damon Runyon Cancer Research Foundation) The second class of Damon Runyon Quantitative Biology Fellows, announced this month, will apply the tools of computational biology to generate and interpret cancer research data at extraordinary scale and resolution.
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(DOE/Sandia National Laboratories) A new Department of Energy open-access quantum computing testbed is ready for the public. Scientists from Indiana University recently became the first team to begin using Sandia National Laboratories' Quantum Scientific Computing Open User Testbed, or QSCOUT.
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(DOE/Princeton Plasma Physics Laboratory) Stellar supercomputer marks huge leap forward in the capacity of Princeton Plasma Physics Laboratory to tackle fusion development.
NumPy 1.20.0, described as the largest-ever release of the scientific computing package for Python, has arrived, introducing new capabilities such as type annotations and expanded use of SIMD (single instruction, multiple data).Release notes for NumPy 1.20.0 indicate type annotations have been added for large parts of NumPy. There also is a new numpy.typing module containing useful types for end users. Currently available types include ArrayLike, for objects that can be coerced into an array, and DtypeLike, for objects that can be coerced into a dtype.To read this article in full, please click here
Sandia Labs pioneers Just Another Quantum Assembly Language ("Jaqal") on their QSCOUT platform
 According to research report "High Performance Computing as a Service Market by Verticals (BFSI, Healthcare and Life Sciences, Manufacturing), Deployment Type (Colocation, Hosted Private Cloud, Public Cloud), Component, Region - Global Forecast to 2023",The High Performance Computing as a Service market is projected to reach USD 10.0 billion by 2023 from USD 5.7 billion in 2018, at a CAGR of 11.9% during the forecast period.Growth in this market is mainly driven by faster deployment of new products and services, access to better technologies, and reduced capital costs.Browse 21 market data Tables and 31 Figures spread through 107 Pages and in-depth TOC on "High Performance Computing as a Service Market - Global Forecast to 2023"Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=215009295The BFSI segment has the largest share of the market and is growing at the second highest CAGR during the forecast periodFinancial institutions are adopting hosted private cloud and colocation services for security concerns.The US government has recognized the importance of problems faced in the areas of computational science and simulation which requires large-scale computational facilities.The major countries taken for analysis are the US and Canada.The main growth of the HPCaaS market in this region is due to the increasing demand for big data analytics and increase in the complexities of applications that require parallel processing further enhancing business flexibility and agility.Speak to Our Expert Analyst: https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=215009295The major high performance computing as a service market vendors are IBM (US), AWS (US), Microsoft (US), Cray (US), Sabalcore Computing (US), Google (US), Penguin Computing (US), Adaptive Computing (US), Nimbix (US), Uber Cloud (US), HPE (US), and Dell (US).About MarketsandMarkets™MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues.
(Society for Industrial and Applied Mathematics) This is the meeting of the SIAM Activity Group on Computational Science and Engineering. Registration is now open.
Fortran has ruled scientific computing, but Julia emerged for large-scale numerical work.
(Dartmouth College) Winners of the annual speculative fiction awards program include a well-known writer and a debut author that help us explore the many imaginative alleyways of the spec-fic genre.
The language, applications, and inherent math capacities permit you to investigate different arrangements and discover an answer quicker than with the table sheets or standard programming dialects, for example, C/C or Java.MATLAB can be utilized for different applications, including signal handling and interchanges, picture and video preparing, control frameworks, testing and estimating PC fund, and computational science.Requires brevityClarifications of significant MATLAB orders and straightforward directions to utilize MATLAB's modifying devices, graphical abilities, and screen interfaces.SIMULINK, Mathworks MATLAB accomplice for framework reproduction.Applications of Mathworks MATLAB in mathematicsMATLAB is a code of high caliber for programming, specific information, and representation.It fuses highlights for the turn of events, reproduction, displaying, prototyping of calculations, information investigation, examination, and perception capacities, making it probably the best apparatus for scientific activities.Linear algebraMATLAB lets clients rapidly and effectively take care of complex straight arithmetical issues.Straight polynomial math is a piece of pretty much every work environment today.For instance, to gauge an organization's Return on Investment ( ROI), people on board must have accurate information on polynomial math.
According to research report "High Performance Computing as a Service Market by Verticals (BFSI, Healthcare and Life Sciences, Manufacturing), Deployment Type (Colocation, Hosted Private Cloud, Public Cloud), Component, Region - Global Forecast to 2023",The High Performance Computing as a Service market is projected to reach USD 10.0 billion by 2023 from USD 5.7 billion in 2018, at a CAGR of 11.9% during the forecast period.Growth in this market is mainly driven by faster deployment of new products and services, access to better technologies, and reduced capital costs.Browse 21 market data Tables and 31 Figures spread through 107 Pages and in-depth TOC on "High Performance Computing as a Service Market - Global Forecast to 2023"Download PDF Brochure:  https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=215009295The BFSI segment has the largest share of the market and is growing at the second highest CAGR during the forecast periodFinancial institutions are adopting hosted private cloud and colocation services for security concerns.The US government has recognized the importance of problems faced in the areas of computational science and simulation which requires large-scale computational facilities.The major countries taken for analysis are the US and Canada.The main growth of the HPCaaS market in this region is due to the increasing demand for big data analytics and increase in the complexities of applications that require parallel processing further enhancing business flexibility and agility.Speak to Our Expert Analyst:  https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=215009295The major high performance computing as a service market vendors are IBM (US), AWS (US), Microsoft (US), Cray (US), Sabalcore Computing (US), Google (US), Penguin Computing (US), Adaptive Computing (US), Nimbix (US), Uber Cloud (US), HPE (US), and Dell (US).About MarketsandMarkets™MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues.Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients.
(Skolkovo Institute of Science and Technology (Skoltech)) Skoltech researchers have used the supercomputer to perform a very precise sensitivity analysis to reveal crucial parameters for different crop yields in the chernozem region of Russia, famous for its high-quality, fertile soil. Agricultural lands occupy 13 percent of the territory of Russia, droughts, dryness, humus reserves exhaustion are the major negative factor for national agriculture. Being able to simulate all possible variants, reveal the most crucial parameters without time-consuming and costly work is important.
The Anaconda distribution of Python packs a great many libraries and tools for data science and scientific computing under a single roof. Its appeal goes beyond scientific number crunching, though. Anaconda is also useful as a general purpose Python distribution.But Anaconda comes with its share of snares and subtleties. What if you’re using Anaconda alongside other Python distributions, and you don’t want them stepping on each other’s toes? How do you integrate Anaconda effectively with your other Python tooling, like IDEs? And if you decide you just want to use regular Python, how do you remove Anaconda without breaking anything else? [ Also on InfoWorld: 8 signs you’re doing Python right ] In this article, we’ll look at how to set up and work with Anaconda alongside conventional versions of Python on the same system. This article assumes you already have some version of Python installed and you have a basic working knowledge of Python before getting started. Note also that most of the guidance here pertains to running Anaconda on Microsoft Windows.To read this article in full, please click here
(National Research Council of Science & Technology) A team, led by Dr. Jung-hoon Lee of the Computational Science Research Center of the Korea Institute of Science and Technology (KIST), recently collaborated with a team, led by Professor Jeffrey B. Neaton from the UC Berkeley Department of Physics, to develop a theoretical explanation for the structural changes and metallization that take place when hybrid (organic metal halide) Perovskite solar cells are exposed to external pressure. The explanation announced by the two teams is attracting much attention from related academic and industrial circles.
According to research report "High Performance Computing as a Service Market by Verticals (BFSI, Healthcare and Life Sciences, Manufacturing), Deployment Type (Colocation, Hosted Private Cloud, Public Cloud), Component, Region - Global Forecast to 2023",The High Performance Computing as a Service market is projected to reach USD 10.0 billion by 2023 from USD 5.7 billion in 2018, at a CAGR of 11.9% during the forecast period.Growth in this market is mainly driven by faster deployment of new products and services, access to better technologies, and reduced capital costs.Browse 21 market data Tables and 31 Figures spread through 107 Pages and in-depth TOC on "High Performance Computing as a Service Market - Global Forecast to 2023"Download PDF Brochure:  https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=215009295The BFSI segment has the largest share of the market and is growing at the second highest CAGR during the forecast periodFinancial institutions are adopting hosted private cloud and colocation services for security concerns.The US government has recognized the importance of problems faced in the areas of computational science and simulation which requires large-scale computational facilities.The major countries taken for analysis are the US and Canada.The main growth of the HPCaaS market in this region is due to the increasing demand for big data analytics and increase in the complexities of applications that require parallel processing further enhancing business flexibility and agility.Speak to Our Expert Analyst:  https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=215009295The major high performance computing as a service market vendors are IBM (US), AWS (US), Microsoft (US), Cray (US), Sabalcore Computing (US), Google (US), Penguin Computing (US), Adaptive Computing (US), Nimbix (US), Uber Cloud (US), HPE (US), and Dell (US).About MarketsandMarkets™MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues.Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients.
On this episode of Digital Trends Live, hosts Greg Nibler and Sam Slaughter dig into the biggest-trending stories in tech, including the release of the HoloLens 2 and Google Stadia, Twitter employees accused of spying, A.I.deemed “too dangerous” to release, James Dean’s reappearance, and more.Then it’s time for our Reel News segment with Erin Keeney and Riley Winn, who take a look at the biggest movies opening this weekend, including Ford v Ferrari, Honey Boy, and Doctor Sleep.We then go hands-on with the new Dell XPS 13.While the form factor is similar to those of past years, it packs a powerful punch and the performance is unmatched.Chris Brickler, co-founder and chief executive officer of MyndVR, joins the program to discuss how virtual reality can be used to improve the cognitive health and happiness of its users, and how the company is using VR to help veterans.
The $1.65 million in funding from CZI will support The Carpentries' instructor training program and the development of CarpentriesLabs -- a centralized repository for high-quality, community-contributed teaching materials."Computational skills are in high demand among scientists and trainees in the life sciences, and we're thrilled to support and scale The Carpentries' efforts to teach in-demand programming and data science skills to researchers," said CZI Science Program Officer, Dario Taraborelli.The Gordon and Betty Moore Foundation has partnered with CZI on this effort to achieve higher impact.Specifically, the foundation is providing $1 million to assist The Carpentries to create new data science resources, broaden access to and engagement with The Carpentries' unique offerings, and strengthen the communities of data science instructors and the trainers who teach them."Our focus has been to support the people who innovate around data-driven discovery.An essential element of this goal is to find professionals from diverse backgrounds, from a broad array of scientific and methodological perspectives and at different career stages to help advance data science, all of which is an important element of The Carpentries' past -- and future -- success.
Weather forecasting is a typical problem of coupling big data with physical-process models, according to Prof. Pingwen Zhang, academician of Chinese Academy of Sciences, Director of the National Engineering Laboratory for Big Data Analysis and Application Technology, Director of the Center for Computational Science & Engineering, Peking University.Prof. Zhang is the corresponding author of a collaborated study by Peking University and Institute of Atmospheric Physics, Chinese Academy of Sciences.Generally speaking, weather forecasting is a largely successful practice in the geosciences and, nowadays, it is inseparable from numerical weather prediction (NWP).However, because the outputs of NWP and observations contain different systematic errors, a "weather consultation" is an indispensable part of the process towards further improving the accuracy of forecasts.Combining these two approaches, an intelligent weather consultation system can be built to assist the current manual process of weather consultation," says Prof. ZHANG.To solve these problems, Prof. ZHANG and his team have proposed the "model output machine learning" (MOML) method for simulating weather consultation, and this research has recently been published in Advances in Atmospheric Sciences.
In recent years, quantum devices have become available that enable researchers -- for the first time -- to use real quantum hardware to begin to solve scientific problems.However, in the near term, the number and quality of qubits (the basic unit of quantum information) for quantum computers are expected to remain limited, making it difficult to use these machines for practical applications.Researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory and Los Alamos National Laboratory, along with researchers at Clemson University and Fujitsu Laboratories of America, have developed hybrid algorithms to run on quantum machines and have demonstrated them for practical applications using IBM quantum computers (see below for description of Argonne's role in the IBM Q Hub at Oak Ridge National Laboratory [ORNL]) and a D-Wave quantum computer."This approach will enable researchers to use near-term quantum computers to solve applications that support the DOE mission.-- Yuri Alexeev, principal project specialist, Computational Science divisionThe team's work is presented in an article entitled "A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers" that appears in the June 2019 issue of the Institute of Electrical and Electronics Engineers (IEEE) Computer Magazine.
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