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: vccircle.com Artificial intelligence (AI) is accepting the situation as a warrior against digital threats over the globe. It has gotten mainstream in military space, yet security organizations are likewise consolidating AI technologies for using deep learning to discover likenesses and differences within a data set. Organizations like Microsoft are putting 1 billion USD in 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: aithority.com Despite the widespread adoption of AI, there’s one misconception that still affects Machine Learning enterprises. Consumers wary of new Machine Learning technology – 72% of Americans, according to one study – often have a notion of AI as a monolith, with a single all-knowing algorithm controlling everything from our self-driving cars and smart refrigerators to the very stars and beyond. Read More

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Source: infoworld.com Netflix has open sourced Metaflow, an internally developed tool for building and managing Python-based data science projects. Metaflow addresses the entire data science workflow, from prototype to model deployment, and provides built-in integrations to AWS cloud services.  Machine learning and data science projects need mechanisms to track the development of the code, data, and Read More

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Source: fiercehealthcare.com The Department of Veterans Affairs (VA) wants to become a leader in artificial intelligence and launched a new national institute to spur research and development in the space. The VA’s new National Artificial Intelligence Institute (NAII) is incorporating input from veterans and its partners across federal agencies, industry, nonprofits, and academia to prioritize AI R&D to improve Read More

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Source: coindesk.com Much like consumers who are wary of AI, enterprises are queasy about putting their full trust in a “black box” where machine learning algorithms are indiscriminately applied to vast data sets. But Microsoft, which helps thousands of firms manage their data, claims a blockchain can add trust and a degree of transparency, assuaging Read More

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Source: infoworld.com Amazon Web Services has expanded the capabilities of its Amazon SageMaker machine learning toolkit to address a number of challenges that enterprises confront when trying to operationalize machine learning, from model organization, training, and optimization to monitoring the performance of models in production. Launched at the Amazon’s re:invent conference in 2017, SageMaker aims to make Read More

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Source: mic.com It may seem like artificial intelligence is quickly seeping into just about everything. While that might raise concerns about a Skynet-style takeover, the quiet secret about AI is that it isn’t taking over. In fact, some experts believe that AI in its current form is starting to slow down, reaching its maximum capacity Read More

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Source: ventsmagazine.com Incredible transformations are happening across industries through the application of AI. They have a front-row seat with customers who are successfully digitizing core business processes and creating more engaging and personalized customer experiences. With Microsoft’s AI platform, Azure AI, their vision continues to center on helping their valuable customers innovate with purpose, using 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: it.toolbox.com AI can unhitch new measures to make businesses more productive and generate new possibilities to enahnce the customer’s experience. That said, as with any new data-driven decision making tool, it can be a challenge to bring machine learning models into a business. Machine learning models can distinguish intricate relationships between large numbers of Read More

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Source: computerweekly.com McKinsey’s Global AI survey has found that the use of artificial intelligence (AI) in automating business processes has increased by 25% year on year, yet a number of sectors are struggling. In a global survey of 2,360 businesses, McKinsey found that 58% of organisations have embedded at least one AI capability into a process or product in 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: techstartups.com Rad AI, an artificial intelligence startup that uses machine learning to transform the practice of radiology, today announced its formal launch and a $4 million seed round led by Gradient Ventures, Google’s AI-focused venture fund. Other backers included UP2398, Precursor Ventures, GMO Venture Partners, Array Ventures, Hike Ventures, Fifty Years VC and various angels. Rad Read More

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Source: cnbctv18.com It is estimated that one in three women will move towards customised products by 2025. The trend is slowly catching up in India and it is not restricted to the affluent metro dwellers. As more and more people are moving towards customised beauty care products, a handful of innovative startups across the globe 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:-forbes.com Cybersecurity is at an inflection point entering 2020. Advances in AI and machine learning are accelerating its technological progress. Real-time data and analytics are making it possible to build stronger business cases, driving higher adoption. Cybersecurity spending has rarely been linked to increasing revenues or reducing costs, but that’s about to change in 2020.  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:-theverge.comToday, Alphabet’s X moonshot division (formerly known as Google X) unveiled the Everyday Robot project, whose goal is to develop a “general-purpose learning robot.” The idea is that its robots could use cameras and complex machine learning algorithms to see and learn from the world around them without needing to be coded for every individual Read More

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Artificial Intelligence