Source: forbes.com Technology is disrupting the entertainment industry from every angle. The demand for niche independent fiction and fanfiction is growing. Streaming platforms are smashing movie premiere records; just last month, Netflix’s Murdery Mystery was viewed by over 13 million accounts in its first three days, which would have translated to a $120.5 million opening weekend. As exponentially Read More
Tag: Machine learning
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Source: healthitanalytics.com To advance the use of machine learning in medical imaging, researchers will have to examine radiologists’ perceptions of the technology, as well as the cost-effectiveness of these tools, according to a study published in JMIR Medical Informatics. Countless studies have shown the diagnostic accuracy of machine learning tools. Organizations across the care continuum, from research universities to companies Read More
Source: devops.com Today’s customers overwhelmingly favor the simplicity of subscription models, in which they pay a flat monthly fee for access to a product in the form of a service. For example, consumers no longer buy or rent DVDs; they subscribe to Netflix. And more prefer to use the services of Uber or Lyft over Read More
Source: pesmedia.com With the industry in the midst of a skills shortage, businesses are struggling to fill the gap. Here Ramya Sriram, digital content manager of online platform for freelance scientists Kolabtree, discusses the rise of the citizen data scientist. The incessancy of big data shows no sign of slowing down – so much so that if Read More
Source: timesnownews.com New York: Using Artificial Intelligence (AI), researchers have developed an algorithm to detect cloud formations that lead to storms, hurricanes, and cyclones. The study, published in the journal IEEE Transactions on Geoscience and Remote Sensing, shows a model that can help forecasters recognise potential severe storms more quickly and accurately. The researchers created a Read More
Source:- fortune.com Adam Dell, the head of product for the Goldman Sachs consumer bank Marcus, delivered a zinger to the Brainstorm Finance audience in Montauk, N.Y., Thursday afternoon. “There are only two kinds of banks,” he said. “There are banks that are screwed. And banks that don’t know they are screwed.” Dell can be smug because his bank Read More
Source:- techcrunch.com Machine learning is the holy grail of data analysis, but unfortunately, that holy grail oftentimes requires a PhD in Computer Science just to get started. Despite the incredible attention that machine learning and artificial intelligence get from the press, the reality is that there is a massive gap between the needs of companies to Read More
Source:- marktechpost.com For some years, Artificial Intelligence (AI) and Machine Learning (ML) becoming part and parcel of modern business solutions. While both of these technologies are making huge strides by helping businesses with intelligent means to address customer demands, these technologies are also going through a rapid transformation. Incorporating AI and Machine Learning capabilities into modern Read More
Source:- forbes.com Since its founding in 1910, Japanese company Hitachihas been at the forefront of innovation with a philosophy to contribute to society through “the development of superior, original technology and products.” Today, Hitachi is a multinational conglomerate that offers operational products and services as well as IT-related digital technologies such as artificial intelligence and big data Read More
Source:- headstuff.org There’s a lot to say about how artificial intelligence will disrupt healthcare as we know it. Here’s a crash course in what AI and machine learning mean for healthcare today and what the future could look like for these technologies. Algorithmic Diagnosis, No Doctor Required In 2018, the U.S. FDA approved an industry first: Read More
Source:- electronicdesign.com Machine learning (ML) isn’t a replacement for conventional programming, but it’s one more tool that developers have available when creating solutions. Unfortunately, the scope and variations of ML are complex and changing continually as designers refine existing methodologies and develop new ones. This would be less of an issue if the changes weren’t occurring Read More
Source:- roboticstomorrow.com Deep learning is capturing the attention of all of us as it is accomplishing outcomes that were not previously possible. Deep learning is a machine learning technique that teaches computers to learn by example just as we learned as a child. We see this technology in autonomous vehicles. It enables the vehicle to distinguish Read More
Source:- entrepreneur.com Machine learning, artificial intelligence (ML & AI) and big data form up a new niche area that is seeing a fast-paced growth rate in India. To clarify terminologies for a layperson, AI is basically all about mimicking human intelligence in machines, ML is a sub-set of AI and is about techniques that enable these Read More
Source:- hub.packtpub.com Yesterday, the team at PyTorch announced the availability of PyTorch Hub which is a simple API and workflow that offers the basic building blocks to improve machine learningresearch reproducibility. Reproducibility plays an important role in research as it is an essential requirement for a lot of fields related to research including the ones based on machine Read More
Source:- chiefexecutive.net Many businesses today are struggling to analyze and extract full value from the wealth of data being generated and gathered daily. The challenge that lies with business problem owners – whether this is a C-level executive, analyst or even operations manager – is how to effectively understand their data to drive further business value Read More
Source:- informationweek.com AI and machine learning are powered by lots of data, so much so that one futurist thinks today’s cloud architectures aren’t enough. Businesses must continually evolve their data storage strategies to keep pace with emerging data usage requirements. Most of today’s enterprises now have a hybrid cloud architecture. However, as they move more data Read More
Source:- iamexpat.nl Executes projects in the field of advanced automated horticultural production systems with a focus on computer vision and machine learning applications; contributes to the development of sustainable (indoor) horticultural crop production systems. Develops new image analysis and control software for the detection of crop growth parameters of various crops, the quality detection of fresh Read More
Source:- businessnewsdaily.com Machine learning and deep neural networks have spurred significant advances in artificial intelligence. Major AI applications in healthcare include diagnostics, robotic surgeries and virtual nursing assistants. Healthcare AI is projected to reach $6.6 billion in value by 2021. Adoption of AI could save the U.S. healthcare industry $150 billion annually by 2026. In Star Wars: Read More
Source:- analyticsindiamag.com According to The Overseas Development Institute, a London-based research establishment, whose findings were released in April 2009 in the paper “Providing aid in insecure environments:2009 Update”, the most lethal year in the history of humanitarianism was 2008, in which 122 aid workers were murdered and 260 assaulted. As much as the underprivileged and unfortunate parts of Read More
Source:- towardsdatascience.com Generally, in machine learning, we want to put similar things in similar places. This rule is universal to all of machine learning, be it supervised, unsupervised, classification, regression. The question is, how do we exactly determine what is similar? In order to shed light on the matter, we are going to start with the Read More
Source:- analyticsindiamag.com Almost all organisations are adopting emerging technologies such as machine learning and data science. These machine learning frameworks are meant for the developers who work using Java language. In this article, we list you 8 machine learning frameworks for Java developers. 1| Apache SAMOA Apache Scalable Advanced Massive Online Analysis (SAMOA) is a distributed streaming machine learning Read More
Source:- oilfieldtechnology.com At industry events over the last couple of years, digitalisation has become a major point of interest with dedicated technical sessions and exhibition feature areas to explore this growing topic. Perhaps the biggest area of interest in the industry right now is around machine learning and the opportunities it offers to revolutionise geoscience workflows. Read More
Source:- insights.dice.com If you listen to the tech pundits (and many tech-firm CEOs), artificial intelligence (A.I.) and machine learning (ML) will define the future. And they’re certainly not wrong: virtually every industry is interested in how A.I. and ML can streamline business processes and boost profits. These are clearly areas worth any tech professional’s time and attention. But for students Read More
Source:- techau.com.au Whales are some of the most amazing creatures on the planet and some species are endangered. Google are helping fight the good fight and lending some of their AI smarts to help scientists track and study the remaining whales. Back in the 1960s, scientists first discovered that humpback whales actually sing songs, which evolve over Read More
Source:- analyticsindiamag.com 1| Apache SAMOA Apache Scalable Advanced Massive Online Analysis (SAMOA) is a distributed streaming machine learning framework which contains a programming abstraction for distributed streaming machine learning algorithms. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression. Apache SAMOA enables Read More
Source:- analyticsinsight.net Artificial intelligence and machine learning stand out as the most transformational technology in this data-driven age. The rate of development and innovation in machine learning is relentless and what seemed impossible a few years ago is commonplace today. Machine learning’s practical application throughout the economy is growing apace, resulting from the accelerated development of Read More
Source:- towardsdatascience.com Introduction In this part of the series, we will put together everything we have learned to train a classification model. The objective is to learn how to build a complete classification workflow from the beginning to the end. Problem Definition The problem we are going to solve is the infamous Titanic Survival Problem. We are Read More
Source:- builtin.com What is machine learning? How does it work? How much math is involved? An engineer breaks it all down. Machine learning is the idea that computers can learn from examples and experience, without being explicitly programmed to do so. Instead of writing code, you feed data to the generic algorithm, and it builds logic Read More
Source:- via.news Artificial intelligence, machine learning, and deep learning are arguably the most significant innovations taking the 21stcentury by storm. Differentiating between the three terminologies is no easy feat, which explains why they are often used interchangeably. What is Artificial Intelligence? Artificial intelligence is the art of trying to integrate human intelligence into machines. Put, it Read More
Source:- uctoday.com Data is everywhere, but are we using It correctly? Big data is an ever-evolving and dynamic term that describes large volumes of data with the potential to deliver useful insights and information. Big data can inform machine learning strategies, form the basis of artificial intelligence applications, and transform business operations. For years, Big Data was defined by Read More