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Source: drugtargetreview.com Researchers have developed a novel method for producing lung cells in vitro using machine learning. The creators of the artificial intelligence technique believe their work will improve models of lung disease and laboratory testing of treatments. The collaboration between the Center for Regenerative Medicine (CReM) at Boston University and the Carnegie Mellon University (CMU), both US, highlighted Read More

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Source: africanexponent.com By analyzing the past few years you can find that machine learning has seen unprecedented improvement in businesses in easing their chores. Machine learning is a broad subset of artificial intelligence and its only chore is to train the machine to learn. If you’re looking for machine learning providers, there are plenty. Keeping in Read More

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Source: dqindia.com Udacity announced the launch of its new Nanodegree program: Intro to Machine Learning with TensorFlow. The next-generation program in machine learning (ML) introduces learners to the fundamentals of Machine Learning in a way that is effective and engaging at the same time. The Nanodegree program incorporates advanced areas such as manipulating data, supervised Read More

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Source: techcrunch.com It’s one thing to develop a working machine learning model, it’s another to put it to work in an application. Cortex Labs is an early-stage startup with some open-source tooling designed to help data scientists take that last step. The company’s founders were students at Berkeley when they observed that one of the Read More

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Source: healthitanalytics.com January 22, 2020 – Machine learning algorithms have the potential to accelerate and refine the drug development process, but the industry should expand data access and create consistent data standards to ensure drug companies can fully leverage these tools, according to a report from the Government Accountability Office (GAO). Drug companies spend ten Read More

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Source: thehindubusinessline.com Researchers in Japan and The Netherlands have, for the first time, used machine learning techniques, in particular artificial neural networks (ANNs), to predict the Indian Ocean Dipole (IOD), a positive phase of which has affected weather and climate in India and Australia in a spectacular fashion so far in 2019-20. Positive, negative phases Read More

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Source: siliconangle.com Applications are expected to move from data centers to edge facilities in record numbers, opening up a huge new market opportunity. The edge computing market is expected to grow at a compound annual growth rate of 36.3 percent between now and 2022, fueled by rapid adoption of the “internet of things,” autonomous vehicles, high-speed trading, Read More

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Source: news.psu.edu UNIVERSITY PARK, Pa. — Researchers in Penn State’s College of Information Sciences and Technology are advancing work that utilizes machine learning methods to improve traffic signal control at urban intersections around the world. Through their work, the researchers are exploring the use of reinforcement learning — training algorithms to learn how to achieve a complex Read More

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Source: mashable.com From facial recognition to self-driving vehicles, machine learning is taking over modern life as we know it. It may not be the flying cars and world-dominating robots we envisioned 2020 would hold, but it’s still pretty futuristic and frightening. The good news is if you’re one of the pros making these smart systems Read More

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Source: zdnet.com Late last year, I complained to Richard Socher, chief scientist at Salesforce and head of its AI projects, about the term “artificial intelligence” and that we should use more accurate terms such as machine learning or smart machine systems, because “AI” creates unreasonably high expectations when the vast majority of applications are essentially extremely Read More

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Source: technologynetworks.com Engineers from Duke University and the Institut de Physique de Nice in France have developed a new method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements. The system could provide a boost to object identification and speed in fields where both are critical, such Read More

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Source: devclass.com AWS has quietly open sourced an open source tool kit it claims will “democratise” machine learning by removing much of the hand tooling data scientists currently fill their time with. The cloud to everything giant’s AutoGluon slipped onto GitHub last year, under the Apache 2 license, but AWS is only now cranking up the publicity Read More

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Source: expresscomputer.in Researchers, including two of Indian-origin, have demonstrated that machine-learning algorithms can monitor online social media conversations as they evolve, which could one day lead to an effective and automated way to spot online trolling. Prevention of online harassment requires rapid detection of offensive, harassing, and negative social media posts, which in turn requires Read More

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Source: builtin.com Machine learning does exactly what it says on the tin. It is a method by which a computer program can “automatically learn and improve from experience without being explicitly programmed.” Now, what does that mean? Let’s breakdown a few concepts. PREDICTIVE MODELING AND LEARNING Consider how a living creature learns something. Say there’s Read More

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Source: analyticsinsight.net Machine learning has become omnipresent today with applications extending from precise diagnosis of skin diseases and cardiac arrhythmia to recommendations on streaming channels and gaming. However, in the distributed machine learning scheme, imagine a scenario where one ‘laborer’ or ‘peer’ is undermined. In what capacity can the aggregation framework be strong to the Read More

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Source: enterprisetalk.com As firms move towards the adoption of machine learning, Artificial Intelligence (AI) is generating substantial security risks. One of the most significant risks associated with AI remains the ML-based models operating as “black boxes.” The deep learning models composed of artificial neural networks have complicated the process of deriving automated inferences. These complications increase the risks associated Read More

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Source: dqindia.com Piyush Goyal, Commerce and Industry and Railways Minister, inaugurated the National Stock Exchange (NSE) Knowledge Hub in New Delhi, an Artificial Intelligence (AI) powered learning ecosystem that will assist the banking, financial services and insurance (BFSI) sector, according to a PIB release. “I believe the next phase of India’s growth will be knowledge-driven,” Read More

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Source: physicsworld.com What is the actual structure of graphene oxide nanoflakes? This question is important for optimizing the properties of the carbon material in real-world applications, and researchers at CSIRO in Australia have now tried to answer it using machine learning. Their approach uses over 20,000 possible structure candidates to find truly representative models and is Read More

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Source: analyticsindiamag.com There are two fundamentally different and complementary ways of accelerating machine learning workloads:  By vertical scaling or scaling-up, where one adds more resources to a single machine  2. By horizontal scaling or scaling-out, where one adds more nodes to the system In a recent work published by the researchers at Delft University of Technology, Netherlands, Read More

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Source: earthmaven.io Throughout the last 650,000 years, there have been seven ice ages. The most recent, around 7,000 years ago, marked the beginning of the modern climate era and human civilization. This current shift in the earth’s environment is significant, as it’s more than 95 percent likely induced by human activity, such as the burning of Read More

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Source: crn.in As we draw closer to 2020, Rick Rider, Senior Director, Product Management, Infor shares predictions on AI. Moving to “Intellectual Digital Assistants. “To meet growing enterprise user expectations, AI Digital Assistants will evolve into “Intellectual Digital Assistants.” Users no longer are satisfied with just telling Digital Assistants what to do and having them Read More

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Source: clickz.com The supply chain industry is facing data flooding at an accelerated rate. And this is hampering the organization’s ability to keep up with the upcoming insights and the inflows.  The bottlenecks are becoming too prominent in the network. While, decision-makers are trying to seek out effective ways to manage humongous amounts of data. Read More

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Artificial Intelligence