Source – https://bdtechtalks.com/ This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Most artificial intelligence researchers agree that one of the key concerns of machine learning is adversarial attacks, data manipulation techniques that cause trained models to behave in undesired ways. But Read More

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Source – https://tdwi.org/ AutoML can solve many of the problems businesses face, but not all. Democratization of machine learning can make a difference. Adam Carrigan, co-founder and COO of MindsDB, explains. Machine learning and predictive analytics present a massive opportunity for businesses looking to improve existing processes, become more data-driven, and enhance the customer experience. Read More

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Source – https://www.analyticsinsight.net/ Machine intelligence is the combination of AI and ML Serving dishes, controlling traffic, performing surgeries on humans – think of these and the first impression is that you cannot do without humans here. The situation now seems to have undergone a 360 degree transformation. Gone are the days when every task that Read More

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Source – https://www.expresscomputer.in/ Across the globe, brands are leveraging ML to drive innovation and better customer experience. From being a niche technology, ML is now seeing increased adoption among organisations in various sectors, says Amit Gupta, CEO & Founder at Rapyder Cloud Solution Machine learning is one of the most disruptive technologies that we have Read More

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Source – https://newscenter.lbl.gov/ Berkeley Lab’s COSMIC X-ray instrument reveals key information about individual battery particles An X-ray instrument at Berkeley Lab contributed to a battery study that used an innovative approach to machine learning to speed up the learning curve about a process that shortens the life of fast-charging lithium batteries. Researchers used Berkeley Lab’s Advanced Read More

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Source – https://news.unl.edu/ Zig, or go Zags? Favor new blood or blue blood? Dance with Cinderella or a stepsister? Every March Madness bracket is a bet (often literally) on one of 9.2 quintillion possible permutations of winners and losers, front-runners and dark horses, drowsy blowouts and rousing upsets. While out walking his dog, the University of Nebraska–Lincoln’s Read More

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Source – https://screenrant.com/ An update to Spider-Man: Miles Morales adds machine learning technology to Miles’s muscle formation according to a lead character developer. The new Spider-Man: Miles Morales update for the PlayStation 5 upgrades the muscles of Miles’s character models for certain suits with machine learning. Although Spider-Man: Miles Morales also released on PlayStation 4, Spider-Man: Miles Morales was arguably the Read More

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Source – https://www.mccourier.com/ Global Data Science and Machine Learning Service Market Report is recently published by Reports N Markets is a value addition to the studied Market. The compilation of the research report is conditioned by primary and secondary research techniques. The report also elaborates on factors that are fueling or hampering the growth of Read More

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Source – https://www.analyticsinsight.net/ MLOps ensures effective lifecycle management of ML models Machine learning operations (MLOps) is a procedure that has recently entered the dictionary of technology organizations. More or less, MLOps is a method of optimizing the work process of data science and machine learning teams. It’s like DevOps from numerous points of view, additionally focusing on Read More

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Source – https://healthitanalytics.com/ Using machine learning methods, researchers discovered the underlying genetic contributors of cancer. Machine learning approaches could help detect mutational signatures in patients with cancer, revealing the genetic effects of the underlying contributors to the disease, a study published in eLife revealed. The new technique uses machine learning algorithms to access and analyze what are called SuperSigs, Read More

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Source – https://www.analyticsinsight.net/ A study finds image analysis using machine learning can identify haematological malignancies. Image analysis is typically used to extract meaningful information from images. It can perform tasks like finding shapes, identifying edges, removing noise, counting objects, etc. for image quality. Recently, a study demonstrated that image analysis utilizing neural networks can help detect details in Read More

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Source – https://www.indiatoday.in/ HIGHLIGHTS By offering personalisation, customisation, and enabling the use of virtual assistants, Machine Learning has become increasingly relevant for students more than before. ML can’t stay behind in the race considering the various benefits it offers and the wide scope it has. Machine Learning helps to upscale the e-learning process by upgrading Read More

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Source – https://analyticsindiamag.com/ Having machine learning in a company’s portfolio used to be an investor magnet. Now, the market is bullish on MLaaS, with a new breed of companies offering machine learning services (libraries/APIs/frameworks) to help other companies get their job done better and faster.  According to PwC, AI’s potential global economic impact will be Read More

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Source – https://www.datanami.com/ In the earliest days of the pandemic, machine learning showed exceptional promise for COVID-19 diagnosis. Reliably, early machine learning models outperformed doctors in recognizing the telltale COVID-induced pneumonia on CT scans from hospitalized patients. However, more conventional testing methods quickly lapped machine learning-based methods, detecting the onset of COVID well before hospitalization Read More

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Source – https://www.pizzamarketplace.com/ Domino’s is using AI ModelOps provider, Datatron, and its platform to improve the pizza company’s AI and machine learning capabilities, according to a press release. The platform will allow Domino’s to automate and standardize the function of its AI models with a goal of improving in-store operations, finding untapped revenue opportunities and Read More

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Source – https://www.livemint.com/ Neetu Chandra Sharma Biotechnology companies have accelerated their use of cloud computing, machine learning (ML), and analytics for advancing research and development. More than 100,000 customers use AWS for ML today, right from creating a more personalized customer experience to developing personalized pharmaceuticals. Covid-19 pandemic has majorly accelerated healthcare digitization in India. Read More

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Source – https://www.analyticsinsight.net/ Machine learning is enabling a smooth shift in this COVID-19 struck world. Machine learning is one of the most used technologies in this generation. It has varied capabilities that can transform businesses across industries for the better. From being considered as a niche technology, machine learning is now seeing an increased adoption within companies Read More

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Source – https://www.cmswire.com/ Machine learning and artificial intelligence are now moving from the realm of research into adoption. Machine learning adoption offers immense benefits which can provide any organization with a competitive edge — if executed well. Technological adoption requires a pragmatic and collaborative approach across the organization driven by agile practices.This also comes the need Read More

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Source – https://www.analyticsinsight.net/ A look at the best machine learning companies that are profitable for your business Machine learning is an advanced artificial intelligence technology that can learn from data using algorithms and then make predictions. The growth of machine learning in recent years has been significantly driven by a boundless quantity of data, affordable data storage, and the evolution Read More

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Source – https://analyticsindiamag.com/ In 1960, Nobel Laureate and American physicist Eugene Wigner wrote about the ‘unreasonable effectiveness of mathematics in natural sciences’. Mathematics is called the language of nature for a reason. That’s why the ‘Is math invented or discovered?’ debate never gets old. Mathematics exerts its influence on literally every field. Mathematics is also the Read More

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Source – https://www.analyticsinsight.net/ Addressing the setbacks of machine learning and providing value-added solutions You’ve probably heard of machine learning a million times before. It might have been mentioned in a casual meeting, a random LinkedIn post sharing a miraculous artificial intelligence resource, a blog post, etc. You may have come across this phrase, but to Read More

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Source – https://enterprisetalk.com/ Better customer experience, lower costs, enhanced accuracy, and new features are a few advantages of applying machine learning models to real-world applications. According to a survey conducted by Rackspace Technology, 34% of respondents project having up to 10 artificial intelligence and machine learning projects in place within the coming two years. Meanwhile, 31% see data Read More

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Source – https://www.analyticsinsight.net/ Researchers at Osaka University are using ML to design and simulate molecules for organic solar cells With the implementation of Machine Learning, technology is increasingly evolving and revolutionizing the environment. Machine learning (ML) and Artificial Intelligence (AI) may tend to be synonymous, but ML is an AI application that allows a program to understand automatically Read More

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Source – https://www.mobihealthnews.com/ Also: PainChek’s app picks up European and Australian regulatory clearances; Digital health access as a social determinant of health. AI isn’t ready for COVID-19 prime time. A systematic review of published this week in nature machine intelligence warns that new models using machine learning to review chest radiographs and chest computed tomographies for COVID-19 have major Read More

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Source – https://www.analyticsinsight.net/ The new algorithm is an effective machine learning tool that is capable of extracting the desired information Big data, evidently, is too large to be processed using conventional data processing tools and techniques. Majority of the information systems produce data in huge quantities that poses difficulties to measure. This complex Big data that organizations Read More

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Source – https://www.analyticsinsight.net/ Researchers at Osaka University are using ML to design and simulate molecules for organic solar cells With the implementation of Machine Learning, technology is increasingly evolving and revolutionizing the environment. Machine learning (ML) and Artificial Intelligence (AI) may tend to be synonymous, but ML is an AI application that allows a program to understand automatically Read More

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