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Dec 082020
 

LexisNexis has open sourced its HPCC Systems big data platform which represents more than a decade of internal research and development in the big data analytics field. More, Vincent, Big Data is surely a big deal. To solve this problem, the following standard has been proposed: One Neural Network Standard over them all. In this upcoming year, companies without AI will fall and fail spectacularly. For companies any size, getting meaningful insights from data analytics is an important priority. Of course, as usual, all the big names are extremely involved. “The amount of data is proliferating and the urgency of transforming data into value in real-time is growing at an equally rapid pace,” says Feinberg. Based on requests from clients - vendors of data processing platforms and products - as well as trends in popular blogs,  job postings, and my own reading. There are so many start-ups in this area alone over the last year (over 100) that to list all of them would be a difficult task. Increased collaboration between government agencies worldwide to standardize data and share it, for intelligence purposes. This is a trend that has already manifested, and will only continue to grow in popularity. To not miss this type of content in the future, subscribe to our newsletter. Following an outbreak of disease, we see a sharp spike in disease-specific publications, showcasing the research community’s ability to quickly respond to public health needs: ), optimizing redundancy, load balance, data caching, data storage, data compression, signal extraction, data summarization and more. Here are a few standout topics and presentations in this … How to install for the antivirus software in your personal computer to reduce the threats to your data? Analytic processes (even in batch mode) accessible from your browser anywhere on any device. High performance computing (HPC) which could revolutionize the way algorithms are designed. Projects are the perfect way to improve your skills and progress towards their mastery. It is so much easier to outsource the construction, deployment and maintenance costs of an AI system to a company that provides it online at a far lesser cost than what the effort and difficulty would be otherwise in maintaining and updating an in-built version that has to be managed by a separate department with some very hard-to-find and esoteric skills. Earlier, deep learning and even advanced machine learning was an aristocratic property of PhD holders and other research scientists. But, also, it would herald a new era in the history of mankind. Terms of Service. The rise of the data plumber, system architect, and system analyst (a new breed of engineers and data scientists), a direct result of the rise of data plumbing; Use of data science in unusual fields such as astrophysics, and the other way around (data science integrating techniques from these fields) The death of the fake data scientist 25 Trending Technology Research Paper Topics. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in store for us. Composable.ai has been focused on building an end-to-end composable dataops platform to provide the required capabilities. (pun intended). For this purpose, research papers are assigned to them in this field of computer science. Book 1 | Deloitte practitioners recently sat down with data science thought leaders to discuss current issues and future trends. Responsible Science described the growth of collaborative research after World War II, which has continued since the early 1990s. Last year, I published an article on my expectations on Data Science trends for 2018. Book 1 | In this video series, Deloitte Consulting LLP’s Remzi Ural, senior manager, talks with Elea Feit, assistant professor of marketing at Drexel university, about the impact of data science and data analytics on marketing strategies and programs. How the rise in technology a… Purpose: detecting and eliminating spam, fake profiles, fake traffic, propaganda, attacks, scams, bad recommendations and other abuses, as early as possible. One research aspect of data science or big data is the study, assessment, and evaluation of human interactions and behaviours. The five most interesting and important trends that could become common in the year 2019 (although the jury will differ on the topic of the quantum computer – it could work this year or ten years from now – but it’s immensely exciting). There needs to be a way to filter the truth from the lies. CiteScore: 3.0 ℹ CiteScore: 2019: 3.0 CiteScore measures the average citations received per peer-reviewed document published in this title. What will be the end result? Have a Look: Trending Computer Science Research Topics for Free. Are you interested in the elections? E ven though Big data is in the mainstream of operations as of 2020, there are still potential issues or challenges the researchers can address. Real time system design and architecture with MPPSoc,GPU is the latest trends in the domain. As seen in a recent poll by IBM, nearly 2/3 rd of all demands for data scientists are unfulfilled. The Data Science Trends for 2018 are largely a continuation of some of the biggest trends of 2017 including Big Data, Artificial Intelligence (AI), Machine Learning (ML), along with some newer technologies like Blockchain, Edge Computing, Serverless Computing, Digital Twins, and others that employ various practices and techniques within the Data Science industry. So, in order to give you a taste of what’s coming up, let’s go through the top four (plus 1 (bonus) = five) top trends of 2019 for data science: Google AutoML Architecture From https://cloud.google.com/automl/. For a decade, Data Science has now been a hot topic, but most of its concept was present theoretically. 100 Technology Paper Topics for Research Papers. AI-as-a-Service Overview From: http://www.digitaljournal.com. Use of data science for automated content generation (including content aggregation and classification); for automated correction of student essays; data science used in court to strengthen the level of evidence - or lack of - against a defendant;  for plagiarism detection; for car traffic optimization and to compute optimum routes; for identifying, selecting and keeping ideal employees; for automated IRS audits sent to taxpayers to avoid costly litigation and time wasting; for urban planning; for, Measuring yield of big data or data science initiatives (that is, benefit after software and HR costs, over baseline). Dataflow is huge right now. More on this in our upcoming book, entitled. We bought the domain name, The rise of the data plumber, system architect, and system analyst (a new breed of engineers and data scientists), a direct result of the rise of data plumbing, Use of data science in unusual fields such as astrophysics, and the other way around (data science integrating techniques from these fields). The practical application of Data Science became only possible after the existence of large data sets to work upon, effective machine learning algorithms, and systems to operate these algorithms. For instance processing billions of text messages to detect the spread of a disease or other global risks, to help design alarm systems or market the right product in real-time (via opt-in, user-customized text messages) to a walking customer in a shopping mall. If we develop quantum computing to practical levels, we could also gain the information to create a truly intelligent computer. 1. This single innovation is going to change the way machine learning works in the real world. Table 1 presents the cross-domain topics for Big Data and Marketing, in a total of eighteen. Political Science research papers can easily become overly complex and weak if there are too many ideas scattered across assignment. To understand Cloud AI-as-a-Service, we need to know that maintaining an AI in-house analytics solution is overkill as far as most companies are concerned. Not that big data is going away, it is indeed getting bigger every second, but many businesses are trying to leverage an increasingly smaller portion of it, rather than being lost in a (costly) ocean of unexploited data. I will resist defining 'data science' for you as any defintion of mine would become a list of broad topics, and I would rather indulge in some crowd sourcing to get your views. We could do more than thirty blog posts on this topic alone – but we digress. More at. Tweet Politically laced blogs should not be permitted. Added by Tim Matteson As an academic researcher in a previous life, I like to maintain ties to the research community while working in the data science field. And the country with the greatest advances is not the US, but China. Tags: Data, Science, Trends, data, in, mining, techniques, Share !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); Or banks in US sharing data with security agencies in Switzerland. AutoML automates machine learning. Report an Issue  |  Now, this was priced at the ridiculous price of 76$ USD per hour, but we now have a free open source competitor, AutoKeras. D-Wave Quantum Computer processor (From wikipedia.org). This project should make a lot of deep learning accessible to everyone on the planet who can code even a little. 0 Comments COVID-19 Topics Digital health: diagnostic/treatment offered by a robot (artificial intelligence, decision trees) and/or remote doctors; digital law: same thing, with attorneys replaced by robots, at least for mundane cases or tasks. Trends: Not trends in data science per se, but two nice meta-trends in how we do data science research are: 1) Some nice empirical work on how good is peer review, i.e. I'd throw in dataflowanalytics.com into the mix. Cognition in real world AI that is self-aware. Experts say a fully functional quantum computer could be 5-15 years away. AutoKeras is an open source free alternative to AutoML developed at University of Texas A & M DATA lab and the open source community. 2. Showcase your skills to recruiters and get your dream data science job. Research Paper Topics on Cyber Security Analysis 2020. There are already a number of major players in this AI as a Service offering including but not limited to Google, IBM, Amazon, Nvidia, Oracle, and many, many more. Image/video processing and computer vision is good field in computer science. This article is going to be rather different. To give you an example, this is the code used to train an arbitrary image classifier with deep learning: Folks, it really doesn’t get simpler than this! Here are a few topics recently gaining strong traction (items beyond #13 were recently added):: Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge, Share !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); Please check your browser settings or contact your system administrator. Added by Tim Matteson There has been a surge in demand for experts in this field and doubled efforts on the part of brands and agencies to boost salaries and attract data science … ODSC East 2019, Boston, Apr 30 - May 3, will host over 300+ of the leading experts in data science and AI. The data science projects are divided according to difficulty level - beginners, intermediate and advanced. So, in order to give you a taste of what’s coming up, let’s go through the top four (plus 1 (bonus) = five) top trends of 2019 for data science: AutoML; Interoperability (ONNX) Cyber Data Science Crime; Cloud AI-as-a-Service (Bonus) Quantum Computation & Data Science; 1. Archives: 2008-2014 | “New server workloads are demanding not just faster CPU performance, but massive memory and faster storage.” Related: A look at the biggest data analytics trends in 2019 Listed below are the 5 trending research topics being pursued by PhD scholars around the globe: Big Data analytics Big data analytics. 150 Science Essay Topic Ideas. Even lawyers and doctors could have their jobs replaced by robots! The issue is more about capturing and reacting, The rise of the "automated statistician", in short, automated, scalable, robust analytic solutions fit for batch processing, real-time, machine-to-machine communications, and black-box analytics used by non-experts. Not sure that even the NSA is capable of doing it as of today. While the maximum number of Big Data research papers is in the field of computer science (171), other academic fields for this line of research include Engineering (75), Mathematics (33), and Business Management (26). 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