Source: venturebeat.com Google today announced the launch in general availability of Cloud Healthcare API, a service that facilitates the exchange of data between health care applications and solutions built on Google Cloud. The API allows organizations to ingest and manage data from a range of inputs and systems, and then to analyze that data through the use Read More
Tag: Machine learning
Source: indiaeducationdiary.in New Delhi: Microsoft India has announced that Microsoft Translator will now offer real-time translation in five additional languages viz., Gujarati, Marathi, Kannada, Malayalam and Punjabi. This takes the total number of Indian languages supported to 10, including Bengali, Hindi, Tamil, Telugu, and Urdu. With this, the service will now allow over 90% of Indians Read More
Source: analyticsinsight.net AI (ML) has been utilized for a long time in different industries to drive new business, increase productivity, reduce risk and improve consumer satisfaction. However, within data management, widespread adoption still can’t seem to progress. One issue is that use cases and capacities of ML related to data management are not constantly comprehended Read More
Source: saratogian.com TROY, N.Y. — A researcher from Rensselaer Polytechnic Institute is suggesting that the coronavirus will peak in the Capital Region in the second half of May or early June. Malik Magdon-Ismail tailored a robust machine learning model that can predict pandemic impact even in smaller cities, with 75% of the population in the Capital Region in Read More
Source: analyticsinsight.net Data science which is defined as the significant technology of current times has been a game-changer across various industries. In a world where high-level digitization of processes is surging, the generation of data is in volumes, giving rise to the popularity of data science technology and its tools. Such solutions when deployed, tend Read More
Source: analyticsindiamag.com The TensorFlow team at Google recently introduced a new tool for TensorFlow Lite (TFLite) known as Model Maker. The TFLite Model Maker simplifies the process of adapting and converting a TensorFlow Neural Network model to particular input data when deploying this model for on-device ML applications. Developed by researchers and engineers from the Google Brain Read More
Source: analyticsindiamag.com Various organizations keep floating data science platforms to simplify machine learning workflows. However, in the ever-changing data science landscape, only a few draw the attention of practitioners. Besides, due to fierce competition in the market, oftentimes platforms keep replacing one another as and when it brings new capabilities to improve organizations’ productivity. Here Read More
Source: legalfutures.co.uk The Legal Ombudsman (LeO) is exploring whether to use big data and machine learning technology to suggest outcomes and make recommendations in resolving complaints about lawyers. The plans were revealed in a collection of articles produced by the Legal Services Board to solicit views from regulators, regulated groups and others about how regulation could support Read More
Source: Along with unsupervised machine learning and supervised learning, another common form of AI creation is reinforcement learning. Beyond regular reinforcement learning, deep reinforcement learning can lead to astonishingly impressive results, thanks to the fact that it combines the best aspects of both deep learning and reinforcement learning. Let’s take a look at precisely how deep reinforcement learning operates. Note that this article won’t Read More
Source: Today, Scikit-learn is being utilized by organizations over the globe, including any semblance of Spotify, JP Morgan, Booking.com, Evernote, and many more. Doubtlessly – scikit-learn gives a helpful tool with simple-to-understand language structure. Among the pantheon of famous Python libraries, scikit-learn positions in the top echelon alongside Pandas and NumPy. These three Python libraries give a total answer Read More
Source: gov.uk Our increasingly digitalised modern world produces more data in a wider variety of formats than ever before. Data science techniques allow us to process, analyse, gain insights and communicate results from this increasing volume of data. As part of our growth as a learning organisation, this is also a key area in which Read More
Source: Don’t look now, but object stores – those vast repositories of data sitting behind an S3 API – are beginning to resemble databases. They’re obviously still separate categories today, but as the next-generation data architecture takes shape to solve emerging real-time data processing and machine learning challenges, the lines separating things like object stores, Read More
Source: venturebeat.com MindsDB today announced it has raised $3 million to grow its automated machine learning platform made for data scientists and developers to quickly train and deploy models. The open source platform has been downloaded more than 250,000 times through Python pip installs or software with a graphic user interface and has been used by Read More
Source: Artificial intelligence is currently one of the hottest technologies that is believed to hold immense potential to benefit the human society. That said, there are inherent issues that raise concerns about the potential dangers of the technology. Some of the most discussed concerns around artificial intelligence include: Bias: Probably one of the biggest concerns, Read More
Source: thenextweb.com It looks like Google‘s working on some major upgrades to its autonomous machine learning development language ‘AutoML.’ According to a pre-print research paper authored by several of the big G’s AI researchers, ‘AutoML Zero’ is coming, and it’s bringing evolutionary algorithms with it. AutoML is a tool from Google that automates the process of Read More
Source: zdnet.com Roughly six months after its unveiling at the Ignite conference last fall, Microsoft took a group of analysts and MVP professionals on a deep dive into the Azure Synapse Analytics service. As noted in Andrew’s coverage last fall, Azure Synapse Analytics is a rebrand and evolution of Azure SQL Data Warehouse, broadening its footprint to span data warehousing,data lakes, Read More
Source: analyticsinsight.net In the past few years, machine learning has highlighted the strength of information technology in discovering the fundamentals of life and the environment. With the volume of data generated every day, it has become necessary to acknowledge smart analysis solutions to know more about the world we live in. In particular, machine learning Read More
Source: venturebeat.com Google today announced TensorFlow Lite Model Maker, a tool that adapts state-of-the-art machine learning models to custom data sets using a technique known as transfer learning. It wraps machine learning concepts with an API that enables developers to train models in Google’s TensorFlow AI framework with only a few lines of code, and to deploy those Read More
Source: sciencemag.org Artificial intelligence (AI) is evolving—literally. Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could Read More
Source: fintechmagazine.com How is artificial intelligence and machine learning changing the financial services industry? Imperva’s Grainne McKeever explains Artificial intelligence (AI) has become integrated into our everyday lives. It powers what we see in our social media newsfeeds, activates facial recognition (to unlock our smartphones), and even suggests music for us to listen to. Machine learning, a subset of Read More
Source: searchstorage.techtarget.com Nvidia’s recent acquisition of SwiftStack to bolster its artificial intelligence stack underscored the ways that object storage is expanding beyond backing up and archiving cold data. High-performance object stores are taking on artificial intelligence (AI), machine learning, analytics and container-based workloads, as enterprises try to gain insight into their unstructured data. Some use fast Read More
Source: manufacturingglobal.com There has been a considerable amount of hype around Artificial Intelligence (AI) and Machine Learning (ML) technologies in the last five or so years. So much so that AI has become somewhat of a buzzword – full of ideas and promise, but something that is quite tricky to execute in practice. At present, Read More
Source: sdxcentral.com Zscaler will acquire Cloudneeti for an undisclosed amount in a deal that adds cloud security posture management (CSPM) to its platform. CSPM companies provide security processes and tools to prevent and fix cloud misconfigurations. This is important because these misconfigurations are the leading cause of data breaches and compliance violations in cloud applications — the Capital One data Read More
Source: aithority.com Neo4j, the leader in graph technology, announced the availability of Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships for enterprise deployments. The unpredictability of the current economic climate underscores the need for organizations to get more value out of existing datasets, continually improve predictive Read More
Source: phys.org Scientists and engineers are on a quest to develop electronic devices that are compatible with our bodies: think of materials that can help wire neurons back together after brain injuries, or diagnostic tools that can easily be absorbed within the body. A family of self-assembling peptides, called π-conjugated oligopeptides, has shown promise for becoming Read More
Source: tradearabia.com BlackRock and Microsoft Corp. have formed a strategic partnership to host BlackRock’s Aladdin infrastructure on the Microsoft Azure cloud platform. The partnership brings enhanced capabilities to BlackRock and its Aladdin clients, which include many of the world’s most sophisticated institutional investors and wealth managers. By adopting Microsoft Azure, BlackRock will both accelerate innovation Read More
Source: cxotoday.com Deep learning, a subset of machine learning and artificial intelligence (AI), has been there since a while, but became an overnight “sensation” when in 2016, Google’s AI program, a robot player beat human grandmaster Lee Seedol in the famed game of AlphaGo . Since then, deep learning training and learning methods became widely acknowledged for Read More
Source: hindustantimes.com There is absolutely no denying that machine learning is the future especially with the explosion in data that we see around us. Simply defined, machine learning the process of using AI to ‘learn’ from existing data to make decisions with minimal human interaction or explicit programming. There are plenty of use cases for Read More
Source: healthitanalytics.com April 06, 2020 – ONC is collaborating with NIH’s National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) to apply machine learning and artificial intelligence to patient-centered outcomes research (PCOR) on chronic kidney disease. Through a project called Training Data for Machine Learning to Enhance PCOR Data Infrastructure (the PCOR Machine Learning Project), ONC and NIDDK are seeking Read More
Source: cmswire.com Artificial intelligence (AI) is slowly becoming more mainstream, as companies amass large amounts of data and look for the right technologies to analyze and leverage it. That’s why Gartner predicted that 80% of emerging technologies will have AI foundations by 2021. With the trend towards predictive analytics, machine learning and other data sciences already underway, Read More