Source – electronicdesign.com At its core, machine learning studies the construction of algorithms and learns from them to make predictions on data by building models from sample inputs. If we further break it down, machine learning borrows heavily from computational statistics (prediction modeling using computers) and mathematical optimization, which provides methods, theory and application data to Read More
Tag: Machine learning
Source – sanvada.com When a robot is inside of a lab, it is capable of doing many things, and this has much to do with its programming. But what happens when the AI meets the real world and the base programming is just not enough? In order for robots to become useful in society at large, Read More
Source – fosters.com The man walking toward me on the street looks like Bob, a friend of mine. As he continues to walk toward me, I decide he is Bob, my friend. I say “Hi, Bob” and he returns his greeting the same way “Hey, Sam. How are you doing?” This conversation exchange is repeated millions Read More
Source – cio.com Artificial intelligence and its subset, machine learning – two topics that make great dinner talk. Why? Many businesses are already using AI, and there’s little doubt that advances in AI and machine learning will continue to change how we work. But ask any IT leader how or where that’s most likely to happen and Read More
Source – popsci.com A machine learning technique called a neural network has identified two new exoplanets in our galaxy, NASA scientists and a Google software engineer announced today, meaning that researchers now know about two new worlds thanks to the power of artificial intelligence. Discovering new exoplanets—as planets outside our solar system are called—is a relatively Read More
Source – hbr.org People are undoubtedly your company’s most valuable asset. But if you ask cybersecurity experts if they share that sentiment, most would tell you that people are your biggest liability. Historically, no matter how much money an organization spends on cybersecurity, there is typically one problem technology can’t solve: humans being human. Gartnerexpects worldwide Read More
Source – forbes.com In the original Blade Runner—set in 2019—technologists had already developed replicant humans and flying cars. Although I’m doubtful we’ll hit that mark in real life, I’d venture we’re not too far off. Indeed, artificial intelligence (AI) has already become an everyday part of life for most humans in 2017. We use it at work 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 – adnews.com.au To quote Eoin Treacy in ‘How to Profit from the Peaceful Rise of the Robots’: “Don’t think of robots as replacements for humans – think of them as things that will help make us better at tackling many of the problems we face.” Never has this been more appropriate than now in the 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
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
Source – sanvada.com Recently news has a release about Amazon Web Services AI is upgrading and adding a bunch of new features for the users. Where the world is expecting AI, right time amazon is adding AI values to their web services. The features will give AWS users the opportunity to create and quickly train their own artificial 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 – 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
Source – jaxenter.com Data Science, Machine Learning, and Artificial Intelligence are attracting big money today. Many organizations, big and small, are investing millions in research — and people — to build powerful data-driven applications. Python and R have long been the two languages said to have a hold on the data science world, but that’s not Read More
Source – cio.com.au There’s a significant level of hype around machine learning – generated by tech vendors, the media, and even CIOs themselves. But putting the hoopla aside, machine learning technologies actually have real substance and as a CIO, it’s worthwhile getting on top of the trends in this area. So what’s all the fuss about? 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
Source – ndtv.com Helsinki: Cyber security companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland-based internet security firm F-Secure said. As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cyber security firms Read More
Source – dailypioneer.com Cyber security companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland- based internet security firm F-Secure said. As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cyber security firms Read More
Source – androidauthority.com After helping to define the modern internet era with Search and Android, Google is already at the forefront of the next wave in computing research and development: AI. Many consider artificial intelligence and neural network computers to be the next step in computing, enabling new use cases and faster computation to solve currently Read More
Source – ibc.org AI is a technology on the cusp. While nothing actually new in itself, a recent convergence of increased computational power with a mushrooming of large datasets and the refinement of existing understanding of the techniques involved has seen it become an important differentiator in the industry. Following a breakthrough year in 2015 when Read More
Source – mediaupdate.co.za Machine learning allows the algorithms that software and systems use to evolve as they process new data. Contrary to what many people think, humans play an integral role in this process and in applying machine learning-driven solutions to real-world problems. Machine learning allows systems and AI engines to automatically learn and improve from experience. Read More
Source – irishtimes.com If ever there was an industry ripe for disruption it is surely the legal profession. Unlike many other sectors, however, it has tended to be a little reticent about embracing technology to innovate. This isn’t too surprising. After all, the traditional way of doing business for legal firms has been extremely profitable. The Read More
Source – cio.economictimes.indiatimes.com Insurance has become an extremely competitive market! While there are several players, customers are increasingly becoming aware about what they need. They are now seeking a more individualized experience and if you cannot provide it, rest assured they will find another company that does. So, how do companies find ways to address the Read More
Source – securityboulevard.com The terms “artificial intelligence” and “machine learning” are often used interchangeably, but there’s a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware. In cyber security, machine learning algorithms can learn by Read More
Source – cio.in From enterprises to power stations, hospitals and public transportation, the volume of real-time data generated is unprecedented today. Data has become a crucial part of the smooth functioning of business operations and is unleashing new user experiences and an unseen world of business opportunities. With the generation of more and more data, the Read More
Source – insidebigdata.com In this special guest feature, Matt Murphy, CMO of Chime Technologies, observes that for decades, the real estate industry has chugged along without too many big changes in how things were done. Information was generally fragmented, if it was accessible at all, and processes were paper-based. Big Data has shaken that up, for commercial Read More
Source – techtarget.com We’re all aware of how powerful companies would become if they had such a technology in their hands, with its added benefits allowing them outpace the competition, get more business or raise more capital — it’s easy to see why everyone is claiming to have it. And with both the average person (and Read More
Source – informationweek.com If you want build trust in machine learning, try treating it like a human, asking it the same type of questions. During the 2008 financial crisis, the banking industry realized that their machine learning algorithms were based on flawed assumptions. So financial system regulators decided that additional controls were needed, and regulatory Read More
Source – tgdaily.com The machines have not yet gained dominance over the world but is in the process of doing so. They have seeped into our lives influencing the way we eat, sleep, work and live. From vocal personal assistants like Siri and Cortana to more complex technologies, AI has been in severe application today. But Read More