Source: darkreading.com In the hands of enthusiastic marketing departments, the terms “artificial intelligence,” “machine learning,” and “deep learning” have become fuzzy in definition, sacrificing clarity to the need for increasing sales. It’s entirely possible that you’ll run into a product or service that carries one (or several) of these labels while carrying few of its Read More
Tag: Machine learning
Source: appdevelopermagazine.com Foster City-based Aible has launched Aible Advanced, its new solution for data scientists and developers that automates the machine learning process from data-to-impact. Aible Advanced empowers data scientists with a platform that advances beyond legacy semi-AutoML solutions such as DataRobot to enable data scientists to achieve business impact quickly and efficiently. Aible Advanced automates all Read More
Source: zdnet.com It’s hardly news that technology companies are working with machine learning. It’s also hardly news that technology companies targeting enterprises are working AI into their solutions. But when Oracle invited a small group of analysts to peek into the company’s internal machine learning summit, it was the first step toward letting the world in on Read More
source: news.mit.edu A novel system developed by MIT researchers automatically “learns” how to schedule data-processing operations across thousands of servers — a task traditionally reserved for imprecise, human-designed algorithms. Doing so could help today’s power-hungry data centers run far more efficiently. Data centers can contain tens of thousands of servers, which constantly run data-processing tasks Read More
Source: informationweek.com Machine learning has grown to have a significant impact on our daily lives: From Amazon’s home assistant Alexa collecting and analyzing information to anticipate our needs, or Facebook suggesting who we should friend, to applications protecting us from credit card fraud and improving online shopping experiences. Organizations want their data to do the heavy lifting Read More
Source: theinquirer.net GOOGLE HAS DESIGNED a series of algorithms that allow smartphone users to interpret sign language using their phone camera. Unusually for Google, it has opted not to create an app this time but has released the code into the open-source for developers to make their own. This approach is most recognisable to Londoners, where there is no Read More
Source: interestingengineering.com We’re officially living during the Data Science revolution. As the driving force behind machine learning and Artificial Intelligence (AI), data science can be found at the heart of some of today’s most exciting technological innovations–from self-driving cars to surgical robots and beyond. So it should come as no surprise that the best and Read More
Source: thetradenews.com Bloomberg has rolled out early alerts using machine learning technology to provide clients with predictive insights for fixed income trading. The data-driven early alerts use Bloomberg’s proprietary library of fixed income data alongside machine learning models for predictive intelligence that could offer users an edge in trading corporate credit markets. By analysing Read More
Source: techxplore.com Scientists have developed an automated tool for mapping the movement of particles inside cells that may accelerate research in many fields, a new study in eLife reports. The movements of tiny molecules, proteins and cellular components throughout the body play an important role in health and disease. For example, they contribute to brain Read More
Source: healthitanalytics.com The Pittsburgh Health Data Alliance (PHDA) is partnering with Amazon Web Services (AWS) to improve medical imaging, cancer diagnostics, precision medicine, voice-enabled technologies, and other areas of healthcare with machine learning. The AWS Machine Learning Research sponsorship will enable PHDA scientists from the University of Pittsburgh and Carnegie Mellon University (CMU) to accelerate research and Read More
Source: anl.gov Abstract: One of the most promising applications of machine learning to materials research is the development of atomic-scale models that can be used to accelerate the calculation of material properties by orders of magnitude relative to density functional theory with little loss of accuracy. To this end, I will demonstrate how machine learning, Read More
Source: healthimaging.com A neural network model can scour electronic medical record (EMR) data and determine if a patient has imaging-specific pulmonary embolism (PE)—a potential remedy for unnecessary CT imaging, reported authors of a multicenter studypublished in JAMA Network Open. The machine learning platform—Pulmonary Embolism Result Forecast Model or PERFORM—converts raw EMR data, such as demographics, vital signs, Read More
Source: zdnet.com The Pittsburgh Health Data Alliance (PHDA) has announced a machine learning research sponsorship from Amazon Web Services (AWS) that would see the alliance aim to advance innovation in areas such as cancer diagnostics, precision medicine, voice-enabled technologies, and medical imaging. The PHDA is a consortium formed by Pittsburgh’s UPMC hospital, the University of Read More
Source: rcpmag.com Despite some obstacles, it’s boom times for machine learning. Research firm Zion Market Research projected in a recent report that machine learning spending will hit $20.83 billion in 2024 from $1.58 billion in 2017, a compound annual growth rate of just over 44 percent. The report cites “technological advancements and proliferation in data generation” as two Read More
Source: forbes.com Today, Hewlett Packard Enterprise (HPE) announced its acquisition of MapR business assets. MapR began as a company focused on providing a cloud data platform. They extended their message into machine learning (ML) and artificial intelligence (AI), claiming to be good support for data sources needed in those arenas. In addition to the cloud, they Read More
Source: venturebeat.com While an exponential growth in data and increase in compute power have been key drivers of AI innovation, without research — and the tremendous effort academics and companies invest in it — these advances wouldn’t go very far. At his Transform 2019 talk last month, Lyft’s head of product and machine learning, Gil Arditi, turned Read More
Source: zdnet.com The Commonwealth Bank of Australia (CBA) has built a Customer Engagement Engine it has touted as powering customer experience through the use of artificial intelligence (AI) and machine learning. “[It] is an advanced system which combines AI, machine learning, and our customer data to continuously optimise and prioritise across all of the available Read More
Source: entrepreneur.com The way businesses engage with customers has seen a paradigm shift with the advent of one of the most disruptive technologies in the human history: artificial intelligence (AI). Armed with the insights drawn by AI from the torrent of data available to them, businesses can now make smart and timely decisions to increase sales and improve the efficiency of their communication with their target Read More
Source: thevistek.com There is a vast number of products sold online through various outlets all over the world. distinguishing, matching and cross-checking product for functions like worth comparison becomes a challenge as there aren’t any international distinctive identifiers. There are several things wherever accurately distinguishing a product match is crucial. as an example, stores might Read More
Source: vanillaplus.com Today’s operators are undergoing vast digital transformations to help shape their roadmaps for future innovation. That includes transforming existing networks to more virtualised environments and preparing for 5G. The new networks must be more robust and agile and at the same time, able to adapt to whatever the future will bring, Anand Gonuguntla, co-founder Read More
Source: techxplore.com Eager to make extra money on the side, Washington, D.C., resident Paula Alves Silva turned to a gig emblematic of the digital age: She recorded sentences read aloud in the comfort of her home to help train artificial intelligence (AI) software. Silva completed the tasks in her native Portuguese tongue for Seattle-based startup Read More
Source: scroll.in Most discussions about artificial intelligence are characterised by hyperbole and hysteria. Though some of the world’s most prominent and successful thinkers regularly forecast that AI will either solve all our problems or destroy us or our society, and the press frequently reports on how AI will threaten jobs and raise inequality, there’s actually very little evidence to support these Read More
Source: datacenterdynamics.com We have an almost mystical faith in the ability of artificial intelligence (AI) to understand and solve problems. It’s being applied across many areas of our daily lives and, as a result, the hardware to enable this is starting to populate our data centers. Data centers in themselves present an array of complex Read More
Source: analyticsinsight.net Methodologies of data science, in some way, come from machine learning, and both are often associated with mathematics, statistics, algorithms and data wrangling. Data scientists make data models that need to run in production environments. And most DevOps practices are germane to production-oriented data science applications, but these practices are typically unheeded in Read More
Source: crn.in Mphasis, an Information Technology (IT) solutions provider specializing in cloud and cognitive services announced the availability of new Deep Learning algorithms on Amazon Web Services (AWS) Marketplace for Machine Learning. The on-demand solutions target practical enterprise use cases such as influence analytics, insurance claims analysis, payment card fraud, and image analytics for supply Read More
Source: machinedesign.com Artificial Intelligence (AI) gets plenty of attention these days, but one researcher at the U.S. Naval Research Laboratory believes one particular AI technique might be getting a little too much. “People have focused on an area of machine learning—deep learning (aka deep networks) — and less so on the variety of other artificial Read More
Source: techwireasia.com DATA has emerged as one of the most valuable assets for companies across many industries, and investing in data science definitely promises lucrative returns. Businesses have figured out many use cases for data science and data analytics, and address many modern business challenges. Deployed properly, data could be used for demand forecasting, targeting Read More
Source: healio.com NEW YORK — In a broad sense, AI is the ability to create programs that mimic elements of human intelligence and has been around for decades but made possible by three recent advances: massive computing power, improvements in machine learning techniques and big data, Justin Ko, MD, clinical associate professor at Stanford School of Medicine Read More
Source: forbes.com Technology is disrupting the entertainment industry from every angle. The demand for niche independent fiction and fanfiction is growing. Streaming platforms are smashing movie premiere records; just last month, Netflix’s Murdery Mystery was viewed by over 13 million accounts in its first three days, which would have translated to a $120.5 million opening weekend. As exponentially Read More
Source: healthitanalytics.com To advance the use of machine learning in medical imaging, researchers will have to examine radiologists’ perceptions of the technology, as well as the cost-effectiveness of these tools, according to a study published in JMIR Medical Informatics. Countless studies have shown the diagnostic accuracy of machine learning tools. Organizations across the care continuum, from research universities to companies Read More