Source – techcrunch.com We’ve already taken a look at neural networks and deep learning techniques in a previous post, so now it’s time to address another major component of deep learning: data — meaning the images, videos, emails, driving patterns, phrases, objects and so on that are used to train neural networks. Surprisingly, despite our world being Read More
Source – datanami.com If you were a data scientist three years ago, you could pretty much write your own ticket. Everybody in the industry, it seemed, either wanted to hire a data scientist, or wanted to be one. But today, thanks to a confluence of factors, organizations are beginning to question whether they need these digital Read More
Source – techrepublic.com The engineer in charge of keeping Google available 24/7 says the enormous datacenters that underpin online services worldwide will soon be run with the help of AI. Ben Treynor Sloss, Google’s VP of engineering, is basing this prediction on the profound savings identified by a machine-learning system charged with helping run a Google Read More
Source – thewire.in China’s attention to artificial intelligence (AI) based technologies and machine learning in the US, according to a recent Reuters report, has the US quite concerned. China has been heavily investing in American AI start-ups, alarming the US government enough for it to seriously consider strengthening its existing strategic foreign investment regulatory mechanism – the Committee on Read More
Source – thedenverchannel.com BOULDER, Colo. – A new startup in Boulder is looking to make a splash in the quickly-growing field of artificial intelligence. Boulder AI just launched this week, billing itself as one of Colorado’s only AI consulting companies. Boulder AI’s aim is to help other businesses create artificial intelligence systems that can perform menial Read More
Source – investors.com Whhile much has been written about information technology companies investing in artificial intelligence, Loup Ventures managing partner Doug Clinton notes that many non-tech companies are capitalizing on AI technology as well. Clinton has put together a portfolio of 17 publicly traded non-tech companies that are making investments in AI to improve their businesses. Read More
Source – pymnts.com Machine learning is perhaps the hottest buzzword in cybersecurity today. The artificial intelligence technology is deployed by cybersecurity firms in an effort to keep pace with the evolution of cyberattacks, as machine learning algorithms are able to improve predictability the more it is used. But according to Guy Caspi, CEO of cybersecurity company Deep Instinct, Read More
Source – telegraph.co.uk Small and medium-sized enterprises (SMEs) are drowning in data, but with the right cloud technology apps and setup, they can make use of the deluge without costly infrastructure or IT configurations. For example, cloud services can take on reams of data that would once have required a room full of servers – and what’s Read More
Source – engadget.com Although the field of machine learning has only recently reached mainstream notoriety, machines have been taught to learn and make predictions from data for decades. You probably already make use of some of its more established applications like email spam filtering, optical character recognition of scanned documents, and animated dog ears in Snapchat. Read More
Source – siliconangle.com With the help of modern analytics, Riot Games Inc. developed a highly successful computer game called League of Legends, in which players form teams of champions and compete with other players around the world. Wesley Kerr (pictured), senior data scientist at Riot Games, explained how his organization is leveraging data science to improve player experience Read More
Source – information-management.com Reports to: Depending on the organizational structure of the business in which you as a data scientist find yourself in, you may be reporting into a lead data scientist, a principal, a chief technology officer, a chief data officer or in cases of some start up organizations, perhaps a CEO. As with your responsibilities, Read More
Source – news18.com Signifying the growing popularity of Artificial Intelligence (AI), global research firm Gartner has predicted that AI will be virtually pervasive in almost every new software product and service by 2020. Owing to its market hype, almost all established software vendors are working to introduce AI into their product strategies which is creating considerable Read More
Source – bizjournals.com Estimates suggest that the United States wastes more than $1 trillion each yearon health care (one-third of all health care spending). This waste includes over-treatment, seeing multiple doctors unnecessarily, care delivery failure and lack of care coordination. Unfortunately, health care cost-cutting measures have historically made matters worse in the United States, often cutting back Read More
Source – ndtv.com Google Analytics now has the same natural language processing technology available in other Google apps such as Photos and Search, the Internet giant announced on Tuesday. That means you can now ask questions in plain English, which gets you answers quicker than before. Depending on the question you ask, you will be presented with a number, Read More
Source – entrepreneur.com Machine learning isn’t new to the enterprise, but technological advances and accelerating investments have made it available to the average entrepreneur. In fact, according to a recent Forrester survey, machine-learning investments are increasing 300 percent this year compared to last year. Already, machine learning has made its mark in areas like self-driving cars, personalized-content Read More
Source – information-age.com The Wall Street Journal recently reported that start-ups will have a prominent role at this year’s Paris Air Show. Around 100 companies will have the opportunity to pitch to receive funding from the big boys of aerospace at an event where young companies were once shunted to the side. It’s further evidence of Read More
Source – healio.com Let me introduce this cautiously entitled Editorial by first expressing how pleased we are to have engaged such a talented and productive group of experts on the use of “big data” in rheumatology. I am wholeheartedly enthusiastic about what we have already reaped from big data and firmly believe the greatest potential for gain in Read More
Source – techbullion.com In 2016, KPMG reportedthat many organisations were struggling to keep pace with changing customer behaviour, globalization, regulatory policies and disruptive technologies. The report further noted that senior executives across the globe did not consider their organisations capable of responding effectively and driving the transformational changes. However, with time, big data is going to be Read More
Source:- thedrum.com In recent months you’d be forgiven for thinking that media buying as a discipline is going to hell in a handcart, with Google itself being the latest to suffer the slings and arrows of programmatic media buying’s outrageous fortune. But instead of viewing recent events as some kind of advertising apocalypse, we should Read More
Source:- businessinsider.com A recent artificial intelligence (AI) experiment Google conducted in partnership with Carnegie Mellon University (CMU) showed that it’s possible to get far better image recognition results simply by feeding algorithms a lot more data, according to a Wired report. Google released a new paper last week outlining the principles behind the experiment. Machine Read More
Source:- seekingalpha.com From personal assistants like Siri, to movie suggestions on Netflix, artificial intelligence (NYSE:AI) is rapidly becoming ubiquitous in everyday life. As this technology continues to advance in capability and prevalence, we sought to explore AI and several closely related subtopics: machine leaning, deep learning, and neural networks. What are the Differences between Artificial Read More
Source – venturebeat.com Deep learning is a new method of artificial intelligence that is an active, fast-moving area of research where we can expect advances to become market-ready over the next several years. Unfortunately, market hype has turned deep learning into a buzzword that can contribute to the misconception that other approaches to AI are not relevant. Read More
Source – bloomberg.com Imagine that tomorrow, some smart kid invented a technology that let people or physical goods pass through walls, and posted instructions for how to build it cheaply from common household materials. How would the world change? Lots of industries would probably become more productive. Being able to walk through walls instead of being Read More
Source – theregister.co.uk Machine Learning is becoming the only real available method to perform many modern computational tasks in near real time. Machine Vision, speech recognition and natural language processing have all proved difficult to crack without ML techniques. When it comes to hardware, the tasks themselves do not need a great deal of computational power; Read More
Source – loyalty360.org Keeping pace with trends in any industry is an integral point for loyalty marketers. When it comes to loyalty program science, Loyalty360 talked to Eoin O’Sullivan, global director of analytics/bBI at Snipp, to find out the latest trends that loyalty marketers should be aware of and incorporate into their respective business strategies. Can you Read More
Source – theconversation.com Artificial intelligence (AI) promises to revolutionise our lives, drive our cars, diagnose our health problems, and lead us into a new future where thinking machines do things that we’re yet to imagine. Or does it? Not everyone agrees. Even billionaire entrepreneur Elon Musk, who admits he has access to some of the most Read More
Source – cxotoday.com Data is everywhere; in the webpages you visit, in blog posts you read, on social media platforms you post on, the videos you watch – all of it and more. It would suffice to say that everything you do on the Internet creates data – as does everything you don’t. We generate nearly Read More
Source – news.psu.edu UNIVERSITY PARK, Pa. — Twitter may have started out as a way to connect to other people and share news quickly, but the social media platform is also a powerful tool, with the data generated representing the largest publicly accessible archive of human behavior in existence. Guangqing Chi, associate professor of rural sociology Read More
Source – chronicle.com s we reach our 10-year anniversary, my colleagues and I have been reflecting on the growth and impact of the Great Colleges to Work For survey. We’ve been encouraged to see that impact extend beyond just the participating colleges. We’ve seen and heard from countless institutions that have become more intentional about their Read More
Source – iot-for-all.com Edge computing is a means of processing data physically close to where the data is being produced, i.e. where the things and humans are – in the field area, homes, and remote offices. Since they don’t live in the cloud, we need to complement cloud computing with many forms of computing at the edge Read More