Source: gigabitmagazine.com. As the fuel that powers their ongoing digital transformation efforts, businesses everywhere are looking for ways to derive as much insight as possible from their data. The accompanying increased demand for advanced predictive and prescriptive analytics has, in turn, led to a call for more data scientists proficient with the latest artificial intelligence Read More
Tag: deep learning
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Source: syncedreview.com In their wonderfully titled A Gentle Introduction to Deep Learning for Graphs, researchers from Italy’s University of Pisa present a clear and engaging tutorial on the main concepts and building blocks involved in neural architectures for graphs. Graphs are everywhere. In chemistry and material sciences for example they are used to represent the molecular structure Read More
Source: unite.ai A new study led by researchers at Linköping University demonstrates how an artificial neural network (ANN) can reveal large amounts of gene expression data, and it can lead to the discovery of groups of disease-related genes. The study was published in Nature Communications, and the scientists want the method to be applied within precision medicine and individualized Read More
Source: drugtargetreview.com An artificial neural network has revealed patterns in huge amounts of gene expression data and discovered groups of disease-related genes. The developers, from Linköping University, Sweden, hope that the method can eventually be applied within precision medicine and individualised treatment. The scientists created maps of biological systems based on how different proteins or genes Read More
Source: indiaeducationdiary.in Gandhinagar: Indian Institute of Technology Gandhinagar (IITGN) hosted the Association for Computing Machinery- India (ACM-India)’s annual event 2020 on February 15. The event saw an overwhelming participation of more than 1200 students, researchers, faculty members, and professionals of computer science and allied areas from all over the country. The prestigious event was graced Read More
Source: spectrum.ieee.org A version of this article was originally published on Medium. The views expressed here are solely those of the authors and do not represent positions of IEEE Spectrum or the IEEE. We here at Skydio have been developing and deploying machine learning systems for years due to their ability to scale and improve Read More
Source: healthimaging.com Deep learning can segment white brain matter in PET/CT scans to help clinicians diagnose a variety of neurodegenerative disorders, according to a new study. A team of South Korean researchers created a type of artificial intelligence known as a generative adversarial network using an existing model called pix2pix, they said Feb. 10 in the Journal of Digital Read More
Source: rtinsights.com In recent years, artificial intelligence research and applications have accelerated at a rapid speed. Simply saying your organization will incorporate AI isn’t as specific as it once was. There are diverse implementation options for AI, Machine Learning, and Deep Learning, and within each of them, a series of different algorithms you can leverage Read More
Source: cxotoday.com AI, an effective tool for Indian Judiciary System : CII Summit and Expo on AI Application & Digi-Tech Day two of Confederation of Indian Industry’s (CII) Summit and Expo on AI Application & Digi-Tech, kick started with a thought-provoking panel discussion on AI in Public Service. The session highlighted the benefits of AI interventions in Agriculture, Smart Cities, Read More
Source: aithority.com Deep Instinct, the first and only cybersecurity company to successfully apply end-to-end deep learning to predict, identify, and prevent cyberattacks, announced its $43 million Series C funding. The round was led by Millennium New Horizons, with participation from Unbound, the London-based investment firm founded by Shravin Mittal, along with LG, and existing investor Read More
Source: techcrunch.com The worlds of artificial intelligence and cybersecurity have become deeply entwined in recent years, as organizations work to keep up with — and ideally block — increasingly sophisticated malicious hackers. Today, a startup that’s built a deep learning solution that it claims can both identify and stop even viruses that have yet to Read More
Source: sg.channelasia.tech Microsoft has released DeepSpeed, a new deep learning optimisation library for PyTorch, that is designed to reduce memory use and train models with better parallelism on existing hardware. According to a Microsoft Research blog post announcing the new framework, DeepSpeed improves PyTorch model training through a memory optimisation technology that increases the number of possible parameters Read More
Source: analyticsinsight.net Deep learning which is also termed as hierarchical learning or deep structured learning uses a layered algorithmic architecture to analyze data. Its peculiarity helps organizations and researchers achieve the unachievable in a most innovative manner. Recently, researchers at the University of Eastern Finland developed a new deep learning model that can identify sleep stages Read More
Source: infoworld.com Microsoft has released DeepSpeed, a new deep learning optimization library for PyTorch, that is designed to reduce memory use and train models with better parallelism on existing hardware. According to a Microsoft Research blog post announcing the new framework, DeepSpeed improves PyTorch model training through a memory optimization technology that increases the number of possible parameters Read More
Source: zdnet.com Artificial intelligence has to go in new directions if it’s to realize the machine equivalent of common sense, and three of its most prominent proponents are in violent agreement about exactly how to do that. Yoshua Bengio of Canada’s MILA institute, Geoffrey Hinton of the University of Toronto, and Yann LeCun of Facebook, who Read More
Source: analyticsinsight.ne Without the help of experts, it is impossible to churn out the appropriate insights from the given data across any organization. The interdisciplinary field of data science is growing with great relevance and so do data scientists. They deal with processes and systems to extract knowledge or insights from large amounts of data. It was Read More
Source: telanganatoday.com Helsinki: A new learning model for identifying sleep stages with exact precision as that of a physician has been identified by a recent study. The study was conducted by researchers of the University of Eastern Finland. Sleep is manually classified into five stages, which are wake, rapid eye movement (REM) sleep and three Read More
Source: venturebeat.com Facebook AI Research (FAIR) today unveiled PyTorch3D, a library that enables researchers and developers to combine deep learning and 3D objects. As part of the release, Facebook is also open-sourcing Mesh R-CNN, a model introduced last year capable of rendering 3D objects from 2D shapes in images of interior spaces. PyTorch3D was inspired by Mesh 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: newswise.com Newswise — The future of commuter traffic probably looks something like this: ride-hailing companies operating fleets of autonomous electric vehicles alongside an increasing number of semi-autonomous EVs co-piloted by humans, all supported by a large infrastructure of charging stations. This scenario is particularly likely in California, which has committed to reducing carbon emissions Read More
Source: itnonline.com It is not that smart algorithms will one day become too smart, as some fear; not that smart machines will one day overshadow human intellect. Rather the danger is that artificial intelligence (AI) machines are viewed by people as more impartial than they are; that their decisions are more objective than those of people. They Read More
Source: securityboulevard.com Fresh off raising an additional $7 million in funding, Concentric has launched a tool that employs deep learning algorithms to enable cybersecurity teams to identify documents and repositories where sensitive data has been stored. Company CEO Karthik Krishnan said the Semantic Intelligence platform takes the place of relying on users to remember where documents containing Read More
Source: eletimes.com Transparency Market Research delivers key insights on the global deep learning chipset market. In terms of revenue, the deep learning chipset market is estimated to expand at a CAGR of ~24% during the forecast period, owing to numerous factors, regarding which TMR offers thorough insights and forecasts in its report on the deep Read More
Source: infoq.com Microsoft’s Azure Machine Learning team recently open-sourced their contribution to the ONNX Runtime library for improving the performance of the natural language processing (NLP) model BERT. With the optimizations, the model’s inference latency on the SQUAD benchmark sped up 17x. Senior program manager Emma Ning gave an overview of the results in a Read More
Source: healthitanalytics.com January 28, 2020 – New research from UT Southwestern has shown that deep learning technology could help providers quickly develop optimal treatment plans for cancer patients, decreasing the odds that the disease will spread. Patients usually have to wait several days to a week to begin therapy while doctors manually develop treatment plans, which can be a Read More
Source: zmescience.com If you want a machine to learn to do something intelligent you either have to program it or teach it to learn. For decades, engineers have been programming machines to perform all sorts of tasks — from software that runs on your personal computer and smartphone to guidance control for space missions. But Read More
Source: nextplatform.com Sundar Pichai, CEO of Google and parent company Alphabet, generated a lot of buzz recently with an op-ed he wrote for the The Financial Times calling for greater regulation of artificial intelligence (AI) technologies, adding a high-profile voice into a debate that has been simmering as innovation around AI, machine learning and deep learning have advanced rapidly. In the column and in Read More
Source: pubs.rsna.org Deep learning with convolutional neural networks (CNNs) has shown tremendous success in classifying images, as we have seen with the ImageNet competition (1), which consists of millions of everyday color images, such as animals, vehicles, and natural objects. For example, recent artificial intelligence (AI) systems have achieved a top-five accuracy (correct answer within Read More
Source: photonics.com A team of U.S. researchers has created a laser-based system able to image around corners in real time. With further development, the system may allow self-driving cars to look around parked cars or busy intersections to see hazards or pedestrians. The technology could also be installed on satellites and spacecraft for tasks such Read More