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

Read More

Source – forbes.com Technology today is forcing significant changes in the ways we communicate. Some technologies, like artificial intelligence, improve efficiencies (speed, quality, style) in our daily lives that many of us likely don’t even notice are happening. Similar to any technology that’s new to an industry, AI has caused some skepticism, and I’ve witnessed that Read More

Read More

Source – thebatt.com Several Texas A&M researchers are working on various innovative applications for Artificial Intelligence (AI), intelligent systems, machine learning and natural language processing technologies. For instance, computer engineering assistant professor Zhangyang “Atlas” Wang said his group works broadly in the general fields of computer vision, machine learning and multimedia signal processing. “My research is Read More

Read More

Source – economictimes.indiatimes.com Technological advances like artificial intelligence, machine learning and big data are impacting the power sector as well, making it imperative for producers to re-skill resources, a senior official of Tata PowerBSE -0.71 % said. “With technological disruptions like artificial intelligence, machine learning, big data, augmented reality etc. that are impacting the power sector Read More

Read More

Source – readitquik.com Digital transformation, the notion of harnessing advances in data science to create value, is being reimagined through applications of artificial intelligence (AI). Focusing AI on the field of intelligent content analytics, the world’s largest banks, technology companies and life sciences organizations are taking it out of the lab and putting it into the Read More

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

Read More

Source – nasdaq.com Slowly but surely, artificial intelligence (AI) is becoming an integral part of our lives . Of course, we don’t have AI-enabled robots running errands for us just yet, but tech companies are integrating the technology very subtly into things that we interact with every day. From Googlesearches to automatically tagging photos on Facebook , and talking to Siri Read More

Read More

Source – searchmicroservices.techtarget.com Considering the time, cost and effort of building their own integrated development platform, many organizations — especially small to medium-sized organizations — turn to PaaS over an IaaS approach. Platform as a service will provide a microservices development team with everything it needs to get an application rolling, including a prebuilt, fully provisioned Read More

Read More

Source – business.financialpost.com MONTREAL — Technological advances in artificial intelligence are fuelling a new race between hackers and those toiling to protect cybersecurity networks. Cybersecurity is always a race between offence and defence but new tools are giving companies that employ them a leg up on those trying to steal their data. Whereas past responses Read More

Read More

Source – digitaljournal.com Microsoft, Amazon and Facebook have announced the release of a neural network platform that allows deep learning frameworks to interoperate. It’s designed to make machine learning more accessible by letting developers mix and match different models. First announced back in September as a Microsoft and Facebook project, Amazon Web Services has now got onboard too. Called Open Read More

Read More

Source – techtarget.com A new password guessing technique takes advantage of machine learning technologies. Expert Michael Cobb discusses how much of a threat this is to enterprise security. What happens when authentication and access control measures are attacked by adversaries equipped with machine learning? This question has been examined in a couple of recent university studies, and Read More

Read More

Source – forbes.com Algorithms are incredible aids for making data-driven, efficient decisions. And as more industries uncover their predictive power, companies are increasingly turning to algorithms to make objective and comprehensive choices. However, while we often rely on technology to avoidinherent human biases, there is a dark side to algorithm-based decisions: the potential for homogenous data sets to produce Read More

Read More

Source – techcentral.co.za Not much time passes these days between so-called major advancements in artificial intelligence. Yet researchers are not much closer than they were decades ago to the big goal: actually replicating human intelligence. That’s the most surprising revelation by a team of eminent scholars who just released the first in what is meant to be Read More

Read More

Source – nydailynews.com The internet changed travel planning for most people years ago, but even a high-powered search engine has its limitations when it comes to plotting out the perfect weekend getaway or lengthy European excursion. Yes, an online search provides plenty of travel options. In fact, it may be too many, so that the would-be Read More

Read More

Source – phys.org In artificial intelligence (AI), machines carry out specific actions, observe the outcome, adapt their behavior accordingly, observe the new outcome, adapt their behavior once again, and so on, learning from this iterative process. But could this process spin out of control? Possibly. “AI will always seek to avoid human intervention and create a Read More

Read More

Source – forbes.com In part one of this two-part series, we covered the complexity of the digital identity problem and some early-market solutions. Read on for part two below! Machine Learning In Digital Identity Two broad categories of machine learning models are clustering (unsupervised learning) and classification (supervised learning). Each of these has its pros and cons and, Read More

Read More

Source – techtarget.com For the average worker, particularly the mobile worker, both the complexity of tools and the need for consultation with experts make it difficult to realize productivity improvement through analytics. However, microservices may hold the key to solving this problem. Since applications are being driven to microservice form by increased needs for context-sensitive work Read More

Read More
Artificial Intelligence