Soure – https://healthitanalytics.com/ A study reveals the use of machine learning algorithms leveraging EHR data could assist in a patient’s lung cancer prognosis. By using machine learning algorithms, researchers examined if creating a large-scale electronic health record (EHR) data-based lung cancer cohort could be effective in studying a patient’s prognosis and estimating survival. The cohort Read More
Tag: algorithms
Source – https://www.metropolismag.com/ The coleader of computational design at SmithGroup explains how machine learning tools can refine data into information, helping designers work smarter. Technology is changing the world as we know—and design—it. But have architects and designers unlocked the full potential of cutting-edge digital tools? In this series of comments, practitioners with a visionary Read More
SOURCE:-eurekalert Researchers from Skoltech, INRIA and the RIKEN Advanced Intelligence Project have considered several state-of-the-art machine learning algorithms for the challenging tasks of determining the mental workload and affective states of a human brain. Their software can help design smarter brain-computer interfaces for applications in medicine and beyond. The paper was published in the IEEE Read More
Source: analyticsinsight.net The idea of creating intelligent systems has always fascinated data science professionals. The advent of computers and technology uplifts the notion that an algorithm that can learn from itself and adapt to changing model inputs. The art of self-learning algorithms helping data science with valuable information is an uncharted territory that AI-powered neural networks would like Read More
Source: analyticsindiamag.com There are almost all the websites over the internet which display ads. The companies who wish to advertise their products, choose these web places as a medium of advertisement. The challenge is that if the company has a range of advertisement versions, which among these versions can get the highest conversion rate, i.e. Read More
Source: hackernoon.com When envisioning pop culture, depending on what generation you might be born into, the perceptions range from HAL 9000’s glowing Red Eye from 2001 to Ava from Ex-Machina. However, the most modern concept of pop culture comes hand in hand with artificial intelligence. To make the experience wholesome, we look at artificial intelligence Read More
Source: inc42.com The last decade of tech was to a large part defined by the advent of Deep Supervised Learning (DL). The availability of cheap data at scale, computational power, and researcher interest have made it the de-facto school of algorithms used for most pattern recognition problems. Face recognition on social media, product recommendations on sites, voice Read More
Source: createdigital.org.au Australian research into ‘active perception’ could change this – and eventually see high-tech assistants installed in our homes. The key lies in teaching robots to behave more like humans, said Doug Morrison, PhD researcher at the Australian Centre for Robotic Vision (ACRV). “You can have a robot doing the same thing over and Read More
Source: securityboulevard.com Fresh off raising an additional $7 million in funding, Concentric has launched a tool that employs deep learning algorithms to enable cybersecurity teams to identify documents and repositories where sensitive data has been stored. Company CEO Karthik Krishnan said the Semantic Intelligence platform takes the place of relying on users to remember where documents containing Read More
Source: searchengineland.com Algorithms, especially those that utilize deep learning in some manner, are notorious for being opaque. To be clear, this means that when you ask a deep learning algorithm to answer a question, the algorithm gives you an answer without any explanation of how it came to that conclusion. It does not show its Read More
Source: pursuit.unimelb.edu.au The rise of ‘deep learning’ has caused a lot of excitement around the revolutionary capabilities of these artificially intelligent agents. But it’s also raised fear and suspicion about what exactly is going on inside each algorithm. One way for us to gain some understanding of our silicon-based friends (or foes?) is for them Read More
Source: physicsworld.com Head CT is used worldwide to assess neurological emergencies and detect acute brain haemorrhages. Interpreting these head CT scans requires readers to identify tiny subtle abnormalities, with near-perfect sensitivity, within a 3D stack of greyscale images characterized by poor soft-tissue contrast, low signal-to-noise ratio and a high incidence of artefacts. As such, even Read More
source: news.mit.edu A novel system developed by MIT researchers automatically “learns” how to schedule data-processing operations across thousands of servers — a task traditionally reserved for imprecise, human-designed algorithms. Doing so could help today’s power-hungry data centers run far more efficiently. Data centers can contain tens of thousands of servers, which constantly run data-processing tasks Read More
Source:- bumc.bu.edu Know What’s Good for Your Health? Artificial Intelligence Data and algorithms can spot medical concerns early and point to solutions Let’s take a look at a few of the many BU projects that use big data to tackle medical problems by utilizing the multidisciplinary expertise of the University—matching public health experts with computer science Read More
Source:- insidebigdata.com As data has transitioned from “nice to have” to a full-blown commodity, we’ve seen demand for data science and analytics (DSA) talent soar — along with opportunities for job-seekers and companies alike. This is such a critical moment for data science, in fact, that industries across the board are bracing for talent shortages. Here’s Read More
Source:- infoworld.com Machine learning uses algorithms to turn a data set into a predictive model. Which algorithm works best depends on the problem Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’d like to step back and explain both machine learning and deep learning in basic terms, Read More
Source – news.mit.edu Just as drivers observe the rules of the road, most pedestrians follow certain social codes when navigating a hallway or a crowded thoroughfare: Keep to the right, pass on the left, maintain a respectable berth, and be ready to weave or change course to avoid oncoming obstacles while keeping up a steady walking Read More
Source – livemint.com Bengaluru: Last year, for the first time ever, an international beauty contest was judged by machines. Thousands of people from across the world submitted their photos to Beauty.AI, hoping that their faces would be selected by an advanced algorithm free of human biases, in the process accurately defining what constitutes human beauty. In preparation, 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 – 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