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Source: martechcube.com DeepTarget Inc., a solution provider that utilizes data mining and machine learning to deliver targeted communications across digital channels for banks and credit unions, announced its use of leading-edge machine learning techniques partnered with historical, proprietary data to help community financial institutions complete more transactions, open more accounts and enhance the quality of Read More
Source – devops.com OverOps has launched a namesake platform employing machine learning algorithms to capture data from an IT environment that identify potential issues before a DevOps team decides to promote an application into production. Company CTO Tal Weiss said the OverOps Platform is unique in that, rather than relying on log data, it combines static and dynamic Read More
Source – helpnetsecurity.com The Internet has many issues: lack of encryption and its governance, questionable marketing techniques, a misinformed average user. These issues are as old as the Internet itself. And machine learning algorithms can become the right tool to solve them. 1999 to 2018: Better connectivity, legacy technology Back in 1999, only 4 percent of Read More
Source – itproportal.com The research paper, entitled “Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features”, will be presented by Matteo Pagliardini. Pagliardini is a senior machine learning engineer at Iprova and one of the three scientists that authored the research paper and developed the new model for unsupervised training, Sent2Vec. The other authors are Prakhar Read More
Source – insidehighered.com If you ask, many people will say we are in a new era of higher education, one where machine learning and big data analytics are driving rapid change. From the influx of adaptive learning technologies to the automated student support services and predictive analytics models driving new interventions, there are fewer spaces of Read More
Source – techtarget.com Why is now the time for healthcare organizations to consider applying machine learning capabilities to cybersecurity? Matt Mellen: Healthcare has seen more than its fair share of cyberattacks for a variety of reasons and it urgently needed a game-changing security technology to prevent them. I think machine learning is that game changer, and it’s going Read More
Source – csoonline.com At its simplest level, machine learning is defined as “the ability (for computers) to learn without being explicitly programmed.” Using mathematical techniques across huge datasets, machine learning algorithms essentially build models of behaviors and use those models as a basis for making future predictions based on newly input data. It is Netflix offering Read More
Source – independent.co.uk Scientists have developed an algorithm to monitor the underwater chatter of dolphins with the help of machine learning. Using autonomous underwater sensors, researchers working in the Gulf of Mexico spent two years making recordings of dolphin echolocation clicks. The result was a data set of 52 million click noises. To sort through this vast amount Read More
Source – forbes.com The rapture of the machines. The subject of fiery debates and endless banter. Everyone is talking about how robots are going to get all our jobs and take over the entire world as soon as they get brains of their own. But that’s not how the real world is supposed to work. In Read More
Source – hbr.org Artificial intelligence is no longer just a niche subfield of computer science. Tech giants have been using AI for years: Machine learning algorithms power Amazon product recommendations, Google Maps, and the content that Facebook, Instagram, and Twitter display in social media feeds. But William Gibson’s adage applies well to AI adoption: The future Read More
Source – cmswire.com As machine learning algorithms are increasingly embedded in today’s analytics applications, this offspring of artificial intelligence is grabbing headlines. In reality, however, the technology isn’t as new as you might think. Its roots in academia date back to the 1950s. Machine learning algorithms have risen out of predictive analytics and use data to learn and Read More
Source – knowstartup.com Artificial Intelligence is radically changing the way we think of technology. It is progressing rapidly, with key advancements ranging from virtual assistants (such as Apple’s Siri and Microsoft Cortana) to fraud detection. This emerging tech now plays a part in everyday life. Another study performed by Forrester Research predicted an increase of 300% in investment Read More
Source – techcrunch.com Microsoft, just like many of its competitors, has gone all in on machine learning. That emphasis is on full display at the company’s Ignite conference this where, where the company today announced a number of new tools for developers who want to build new A.I. models and users who simply want to make use of these Read More
Source – cso.com.au Today, machine learning has come of age as it seeks to create predictive models and algorithms and gives computers the ability to carry out tasks without being explicitly programmed. Examples of Machine Learning we use on a day-to-day basis are Google search engines, recommendations from Amazon, Netflix and YouTube, and even suggested friends Read More
Source – venturebeat.com The future of all biometrics will involve artificial intelligence. That statement might seem strange. After all, biometrics is a security issue, one that often involves complex algorithms, randomly generated passcodes, and multiple authentication steps. But in the future, data security will rely on AI and machine learning to analyze data and determine whether Read More
