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Source: labmanager.com Researchers are developing machine learning tools to help them flip the design script and accelerate technology development. They’re not interested in the traditional, incremental, costly way of running experiments, collecting data and applying those answers to technology designs. They want to start with the answer—in this case better solar cells—and use machine learning Read More

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Source: capgemini.com Manufacturing enterprises have been focused on the operational transformation pillar which in almost all cases refers to making supply chain and manufacturing operations more efficient by leveraging capabilities arising out of IoT, IIoT, and AI. The visionaries in Manufacturing however have also concentrated on transforming their business models from a sell model to Read More

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Source: phys.org Researchers at the EMBL’s European Bioinformatics Institute (EMBL-EBI) have created the largest reference phosphoproteome to date of almost 120,000 human phosphosites. To identify those most likely to be critical, they used a machine learning approach capable of ranking them according to functional importance. Proteins are the core molecular machines of the cell that can be Read More

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Source: dbta.com Processing big data in real-time for artificial intelligence, machine learning, and the Internet of Things poses significant infrastructure challenges. Whether it is for autonomous vehicles, connected devices, or scientific research, legacy NoSQL solutions often struggle at hyperscale. They’ve been built on top of existing RDBMs and tend to strain when looking to analyze Read More

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Source: healtheuropa.eu Along with the benefits come new risks and regulatory challenges meaning doctors now have to consider how best to reduce risk when it comes to medical technology. From spotting malignant tumours to reading CT scans and mammograms, Artificial Intelligence and Machine Learning-based technology is faster and more accurate than traditional devices – or even the best Read More

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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

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Source: dqindia.com Leveraging the power of immense data analysis to enhance human expertise further, machine learning technology holds the potential to cause the next evolution in trading. Through data analytics, statistical trends accumulated over vast periods of time reveal actionable insights that can enhance decision making for individuals as well as enterprises. History repeats itself Read More

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Source: techcrunch.com Today, Amazon  announced a new approach that it says will put machine learning technology in reach of more developers and line of business users. Amazon has been making a flurry of announcements ahead of its re:Invent customer conference next week in Las Vegas. While the company offers plenty of tools for data scientists to build Read More

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Source:-analyticsinsight.net Man-made brainpower (AI) will soon be at the core of each major technological framework on the planet to manage and get to your strategic information. Only a couple of uses are cyber and homeland security, anti-money laundering, payments, financial markets, biotech, healthcare, marketing, natural language processing (NLP), computer vision, electrical grids, nuclear power plants, Read More

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Source:-analyticsinsight.net As the world heads towards increased efficiency and productivity through disruptive technologies, some of them are revising themselves with enhanced attributes offering better services and effectiveness. Machine Intelligence is one such technology that has risen from the advancement and evolution of ubiquitous technologies – machine learning and artificial intelligence. Machine Intelligence is advanced computing Read More

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Source-analyticsinsight.net The boons of machine learning have been leveraged in the industry in the past many years. With its increasing implementation, the ML tools have also evolved with time. Today, people can easily work with machine learning owing to its easy-to-use, user-friendly tools. As the gathering of data and turning it into actionable insights has Read More

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Source:-itproportal.comThe emerging technologies that are set to revolutionise healthcare. AI and ML solutions are already being used by thousands of companies with the goal of improving the healthcare experience. For example, Babylon Health is changing the way we manage and better understand health. Founder, Ali Parsa developed the app in 2013 with a mission of Read More

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Source:-dqindia.com Machine learning is one of the most promising technologies today that makes it possible for machines to learn how the human brain works and replicate this learning to analyze varied data types and deduce meaningful insights. Machine learning models At the core of machine learning are three models that help machines unearth insights and patterns. Read More

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Source:-mobileappdaily.com It’s a fact that Artificial technology is increasingly making our lives easier. If we think about it, every second component is now attached with some sort of machine learning tool that makes it work by minimum human interference.  AI technology is transforming every sequence of our lives, therefore machine learning is also growing with Read More

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Source:-phys.org To synthesize high-performance materials for organic photovoltaics (OPVs) that convert solar radiation into direct current, materials scientists must meaningfully establish the relationship between chemical structures and their photovoltaic properties. In a new study on Science Advances, Wenbo Sun and a team including researchers from the School of Energy and Power Engineering, School of Automation, Computer Science, Electrical Engineering and Read More

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Source:-marketexpert24.com This report focuses on the Global Machine Learning and Location Data Applications Market landscape, future outlook, growth opportunities, and key and key contacts. The research objective is to present the development of the market in the US, Europe and Others. In addition, industry development trends and marketing channels are analyzed. The industry analysis have Read More

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Source:- forbes.com This August, the Department of Housing and Urban Development put forth a proposed ruling that could potentially turn back the clock on the Fair Housing Act (FHA). This ruling states that landlords, lenders, and property sellers who use third-party machine learning algorithms to decide who gets approved for a loan or who can purchase or Read More

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Source:-zdnet.comMobileNetV3 and MobileNetEdgeTPU have been released to the open source community. Google has opened up the source code of two machine learning (ML) on-device systems, MobileNetV3 and MobileNetEdgeTPU, to the open source community. In a blog post, software and silicon engineers Andrew Howard and Suyog Gupta from Google Research said on Wednesday that both the Read More

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Source:-technologynetworks.com Climate change has emerged as the biggest threat to humanity, with devastating consequences such as extreme weather events, climate migration, and a sharp decline in biodiversity. While the brunt of climate action is shouldered by green parties and public activists like the young Greta Thunberg, in recent years many industries have stepped up innovation Read More

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Source: cmo.com.au For a provider of loyalty programs across some of the biggest brands in the world, it’s pretty important Aimia gets personalisation and customer engagement right. Which is why the leader in loyalty marketing, services, technology, and data platforms recently turned to artificial intelligence (AI), to better utilise its vast amount of data. Director of insights and Read More

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Source: dqindia.com November 08, 2019 – Machine learning methods could accurately identify cancerous esophagus tissue on microscopy images without the time-consuming manual data input that is required for current methods, according to a study published in JAMA Network Open. Researchers at Dartmouth and Dartmouth-Hitchcock Norris Cotton Cancer Center have developed an innovative machine learning approach that automatically learns clinically important Read More

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Source: information-age.com There is no single moment when SaaS (Software-as-a-Service) arrived, because SaaS is a concept that involves numerous components. SaaS has evolved to the point where vendors and suppliers manage their own software and no installation is required because software is distributed instantaneously over the internet (via the cloud). Cloud computing allows businesses to Read More

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Artificial Intelligence