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Automation in Pathology Will be Enabled by Artificial Intelligence

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Years ago, my mother worked for a major airline company in reservations. Her job included booking and cancelling reservations, checking fares and re-booking passengers. She was also responsible for printing tickets to be mailed to the traveler(s). Her office in suburban Chicago occupied several floors of a large office building with enough wires, I was told as a child, to circle the globe seven times to carry out those functions as well as printing tickets. This system, of course, meant you had to book your ticket far enough in advance to actually get your ticket in the mail.


Intel acquires SigOpt, a specialist in modeling optimization, to boost its AI business – TechCrunch

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Intel has been doubling down on building chips and related architecture for the next generation of computing, and today it announced an acquisition that will bolster its expertise and work specifically in one area of future technology: artificial intelligence. The semiconductor giant today announced that it has acquired SigOpt, a startup out of San Francisco that has built an optimization platform that can be used to run modeling and simulations (two key applications of AI tech) in a better way. Anthony described SigOpt as a startup built to "optimize everything" when we covered its Series A, but Intel specifically will be integrating the tech into its AI business, specifically into its AI Analytics Toolkit, a spokesperson tells me. Terms of the deal were not disclosed, but SigOpt already counted a number of large enterprises -- "SigOpt's customer base includes Fortune 500 companies across industries, as well as leading research institutions, universities and consortiums using its products" -- among its customers. The product was still in a closed beta, however.


3 Reasons you should learn Artificial Intelligence in 2020

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Some would say that being an AI expert is the job of the century. I think that point of view puts a lot of pressure on the candidates who plan to take a shot at the artificial intelligence industry. It might create the impression that only the most brilliant students who have had straight A's since high school are good enough for an AI role. Learning and practicing AI is not a cakewalk. You need to put in the hours and struggle for solutions.


How AI proptech can instantly value properties around APAC

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Property technology, often abbreviated as proptech, is becoming increasingly commonplace around the Asia Pacific (APAC) in recent years, and certain factors are set to see proptech truly takeoff. An excellent example of proptech disrupting traditional property investor tools is the AI-powered platform, OfficeBlocks. According to the Urban Land Institute and PwC Emerging Trends in Real Estate Asia Pacific (APAC) 2020 report, awareness of and investment in proptech strategies are growing rapidly. And the recent world events have made things difficult for the property investor market, with travel restrictions and other restrictions limiting the possibilities. But using the Market Intelligence App within the OfficeBlocks platform, a photo of a property can be uploaded, and the industry-first AI and big data tool will send out the rental estimates and valuation of the property to an email address within minutes.


Provide outstanding customer experience with RPA and DPA

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Organizations need to be able to make personalized decisions in a split second to meet modern customer expectations. Keeping customer interactions current, relevant, and convenient no matter what happens next doesn't have to be complicated. The right technology is available to automate and perfect operational excellence. First, CIOs and CTOs need to prep their systems to make it possible. When applied strategically to customer service processes, RPA bots can ensure that relevant information is always available, no matter what channel the interaction took place on.


Alternative Python libraries for Data Science

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Dabl library has been created by Andreas Mueller, one of the core developers and maintainers of the scikit-learn machine learning library. The idea behind dabl is to make supervised machine learning more accessible to beginners and reduce boilerplate for common tasks. Dabl takes inspirations from scikit-learn and auto-sklearn. The library is being developed actively and hence isn't recommended for production use. Dabl can be used for automated preprocessing of the dataset, quick EDA as well as initial model building as part of a typical machine learning pipeline.


Decision Trees Explained With a Practical Example

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A decision tree is one of the supervised machine learning algorithms. This algorithm can be used for regression and classification problems -- yet, is mostly used for classification problems. A decision tree follows a set of if-else conditions to visualize the data and classify it according to the conditions. Before we dive deep into the working principle of the decision tree's algorithm you need to know a few keywords related to it. Attribute Subset Selection Measure is a technique used in the data mining process for data reduction.


Five steps to build an artificial intelligence strategy

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Customer-centricity has become one of the most popular topics among today's business leaders. No longer are products built and then customers found. Your AI strategy should therefore measure success in relation to customer-centric key performance indicators (KPIs). For instance, call centres often cause frustration due to poor data handling, leading to a drop in brand reputation. Improving customer experience can be achieved by increasing call-handling speed – a key KPI, by deploying AI to automate and so speed-up the business process.


Watch Boston Dynamics' Spot robot explore Chernobyl

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Boston Dynamics' Spot robot is expanding to its resume every day, and the quadruped can add nuclear power plant exploration and radiation monitoring to the list. Engineers from the University of Bristol recently tested Spot around the Exclusion Zone territory of the Chernobyl Nuclear Power Plant. The Exclusion Zone covers approximately a 1,000-square-mile area in Ukraine surrounding the Chernobyl Nuclear Power Plant, where radioactive contamination is highest and public access and inhabitation are restricted. According to the State Agency for Exclusion Zone Management, this is the first time Spot has been tested there. Spot helped create a 3D map of the distribution of nuclear radiation around the Chernobyl Nuclear Plant.


Can AI Learn Human Values? - KDnuggets

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I recently started a new newsletter focus on AI education. TheSequence is a no-BS( meaning no hype, no news etc) AI-focused newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. Ensuring fairness and safety in artificial intelligence(AI) applications is considered by many the biggest challenge in the space. As AI systems match or surpass human intelligence in many areas, it is essential that we establish a guideline to align this new form of intelligence with human values.