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Source – https://www.informationweek.com/ IT teams must work with managers who oversee data scientists, data engineers, and analysts to develop points of intervention that complement model ensemble techniques. Most managers feel euphoria when implementing a technology meant to enhance the workflow of a team or an organization. But they often overlook the details that help implement Read More
Source – https://www.analyticsinsight.net/ Data annotation is the process of labeling data to make it easy for machines to access it. Why did humans start making machines? The immediate answer would be to make a mechanical and computerised model that works like humans. Yes, humans wanted machines to imitate whatever they do. The purpose of artificial intelligence is Read More
Source – https://www.itp.net/ The AI-based propagation model enables mobile operators to drive 5G planning and delivery Infovista, the network lifecycle automation company, has announced the availability of its Artificial Intelligence Model (AIM). The commercially available AI-based propagation model aims to transform the way wireless networks can be planned and optimised. Régis Lerbour, VP Product & Read More
Source – https://news.unl.edu/ Zig, or go Zags? Favor new blood or blue blood? Dance with Cinderella or a stepsister? Every March Madness bracket is a bet (often literally) on one of 9.2 quintillion possible permutations of winners and losers, front-runners and dark horses, drowsy blowouts and rousing upsets. While out walking his dog, the University of Nebraska–Lincoln’s Read More
Source – Researchers may have developed a deep learning model that is effective at detecting electrolyte imbalance via electrocardiography (ECG). “The detection and monitoring of electrolyte imbalance is essential for appropriate management of many metabolic diseases; however, there is no tool that detects such imbalances reliably and noninvasively,” the team wrote in their abstract. Aiming Read More
Source – https://www.analyticsinsight.net/ As known to many, Google has recently released Model Search which is an open-source platform. This caters to developing efficient and best machine learning models automatically. Rather than focusing on a particular domain, Model Search is domain agnostic and flexible beyond imagination. Well, not just that. To our surprise, it is even Read More
Source – https://www.marketscreener.com/ Machine learning: Accelerating your model deployment Business models rely on data to drive decisions and make projections for future growth and performance. Traditionally, business analytics has been reactive – guiding decisions in response to past performance. But today’s leading companies are turning to machine learning (ML) and AI to harness their data Read More
Source – https://aithority.com/ While companies continue to realize the importance of data science and its ability to positively impact revenue, scaling it across an organization continues to be a challenge. A new survey released today reveals a new leading factor to success — creating a positive, model-driven business culture among employees. This insight is one of the Read More
Source – https://healthitanalytics.com/ A machine learning model estimated that the number of US COVID-19 cases is nearly three times greater than reported. Since the pandemic began, experts have looked to daily counts of laboratory-confirmed COVID-19 cases and deaths in an effort to contain the virus. Now, a machine learning algorithm has revealed that these numbers Read More
Source: businesskorea.co.kr The Korea Institute of Science and Technology Information (KISTI) and the Data Science Lab of Myongji University have selected the 10 most promising technological fields by using big data and artificial intelligence. The fields expected to show a very rapid growth until the mid-2020s include autonomous driving, energy, machine vision, biotechnology and robotics. Read More
Source: infoq.com Researchers from Google AI recently open-sourced the Reformer, a more efficient version of the Transformer deep-learning model. Using a hashing trick for attention calculation and reversible residual layers, the Reformer can handle text sequences up to 1 million words while consuming only 16GB of memory on a single GPU accelerator. In a paper accepted for oral presentation Read More
Source: drugtargetreview.com Researchers have designed a novel approach to use deep learning to improve their understanding of how proteins interact in the body. According to the team, their findings could result in more accurate structure models of protein interactions in various diseases and better drug designs that target protein interactions. The study, conducted at Purdue Read More
Source: infoq.com Google AI has open-sourced A Lite Bert (ALBERT), a deep-learning natural language processing (NLP) model, which uses 89% fewer parameters than the state-of-the-art BERT model, with little loss of accuracy. The model can also be scaled-up to achieve new state-of-the-art performance on NLP benchmarks. The research team described the model in a paper Read More
Source: thehindu.com In a ray of hope for those who have to go for breast cancer screening and even for healthy women who get false alarms during digital mammography, an Artificial Intelligence (AI)-based Google model has left radiologists behind in spotting breast cancer by just scanning the X-ray results. Reading mammograms is a difficult task, even for Read More
Source: techxplore.com Recent advances in machine learning have enabled the development of techniques to detect and recognize human emotions. Some of these techniques work by analyzing electroencephalography (EEG) signals, which are essentially recordings of the electrical activity of the brain collected from a person’s scalp. Most EEG-based emotion classification methods introduced over the past decade Read More
Source: mdmag.com A new machine-learning model can predict response to hypomethylating agents in patients with myelodysplastic syndromes, according to new research presented at the American Society of Hematology (ASH) 2019 Annual Meeting in Orlando. Investigators from the Cleveland Clinic developed a clinical artificial intelligence (AI) model to predict response and resistance to hypomethylating agents after Read More
Source: techxplore.com Most deep-learning algorithms perform well when trained on large sets of labeled data, but their performance tends to decline when processing new data. Researchers worldwide have thus been trying to develop techniques that could improve the ability of these algorithms to generalize well across both new and previously processed data, enabling what is Read More
Source: healthcareitnews.com Artificial intelligence technology based on a deep learning model could help cardiologists predict irregular heart rhythms, known as atrial fibrillation, before it develops. WHY IT MATTERSThat’s the conclusion drawn from two studies to be presented at the American Heart Association Scientific Sessions 2019 and conducted by Geisinger researchers. A team of scientists trained Read More
Source: techxplore.com Researchers from the University of Houston have developed an artificial intelligence-based ozone forecasting system, which would allow local areas to predict ozone levels 24 hours in advance. That would improve health alerts for people at heightened risk of developing problems because of high ozone levels. Yunsoo Choi, associate professor in the Department of Earth Read More
Source: news.iastate.edu AMES, Iowa — A team of Iowa State University graduate students beat nearly 150 teams from 114 universities in 28 countries, bringing home the top prize from the 20th annual Data Mining Cup. The winners were announced July 3 in Berlin. Prudsys AG, a leading European data mining company, sponsors the intelligent-data analysis Read More
Source:- atechnologymarket.com This data mining tools market research report predicts the size of the market with information on key vendor revenues, development of the industry by upstream & downstream, industry progress, key companies, along with type segment & market application. All statistical and numerical data mentioned in the report is symbolized with the help of graphs and Read More
Source:- venturebeat.com Deploying AI-imbued apps and services isn’t as challenging as it used to be, thanks to offerings like IBM’s Watson Studio (previously Data Science Experience). Watson Studio, which debuted in 2017 after a 12-month beta period, provides an environment and tools that help to analyze, visualize, cleanse, and shape data; to ingest streaming data; and Read More
