Source: healthimaging.com A neural network model can scour electronic medical record (EMR) data and determine if a patient has imaging-specific pulmonary embolism (PE)—a potential remedy for unnecessary CT imaging, reported authors of a multicenter studypublished in JAMA Network Open. The machine learning platform—Pulmonary Embolism Result Forecast Model or PERFORM—converts raw EMR data, such as demographics, vital signs, Read More
Category: Machine Learning
Machine Learning
Source: zdnet.com The Pittsburgh Health Data Alliance (PHDA) has announced a machine learning research sponsorship from Amazon Web Services (AWS) that would see the alliance aim to advance innovation in areas such as cancer diagnostics, precision medicine, voice-enabled technologies, and medical imaging. The PHDA is a consortium formed by Pittsburgh’s UPMC hospital, the University of Read More
Source: rcpmag.com Despite some obstacles, it’s boom times for machine learning. Research firm Zion Market Research projected in a recent report that machine learning spending will hit $20.83 billion in 2024 from $1.58 billion in 2017, a compound annual growth rate of just over 44 percent. The report cites “technological advancements and proliferation in data generation” as two Read More
Source: venturebeat.com While an exponential growth in data and increase in compute power have been key drivers of AI innovation, without research — and the tremendous effort academics and companies invest in it — these advances wouldn’t go very far. At his Transform 2019 talk last month, Lyft’s head of product and machine learning, Gil Arditi, turned Read More
Source: zdnet.com The Commonwealth Bank of Australia (CBA) has built a Customer Engagement Engine it has touted as powering customer experience through the use of artificial intelligence (AI) and machine learning. “[It] is an advanced system which combines AI, machine learning, and our customer data to continuously optimise and prioritise across all of the available Read More
Source: vanillaplus.com Today’s operators are undergoing vast digital transformations to help shape their roadmaps for future innovation. That includes transforming existing networks to more virtualised environments and preparing for 5G. The new networks must be more robust and agile and at the same time, able to adapt to whatever the future will bring, Anand Gonuguntla, co-founder Read More
Source: datacenterdynamics.com We have an almost mystical faith in the ability of artificial intelligence (AI) to understand and solve problems. It’s being applied across many areas of our daily lives and, as a result, the hardware to enable this is starting to populate our data centers. Data centers in themselves present an array of complex Read More
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
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: darkreading.com Cloud-native architectures help businesses reduce application development time and increase agility, at a lower cost. Although flexibility and portability are key drivers for adoption, a cloud-native structure brings with it a new challenge: managing security and performance at scale. Challenges in the CloudThe nature of containers and microservices makes it harder to protect Read More
Source:-forbes.com One can’t read any news today without a barrage of articles about data science and machine learning and artificial intelligence. Just recently, Jeff Bezos opened up his private MARS (Machine Learning, Automation, Robotics, and Space) conference to the public There is a conspiracy theory stating that the Facebook 10 year challenge is just a Read More
Source|:- boingboing.net In The Next Generation of Deep Learning Hardware: Analog Computing*Sci-Hub mirror), a trio of IBM researchers discuss how new materials could allow them to build analog computers that vastly improved the energy/computing efficiency in training machine-learning networks. Training models is incredibly energy-intensive, with a single model imposing the same carbon footprint as the manufacture and lifetime Read More
Source:-darkreading.com As defenders increasingly use machine learning to remove spam, catch fraud, and block malware, concerns persist that attackers will find ways to use AI technology to their advantage. Machine learning continues to be widely pursued by cybersecurity companies as a way to bolster defenses and speed response. Machine learning, for example, has helped companies 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:- 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:- 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:- 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:- themandarin.com.au Data science is increasingly important across both Federal and State Government sectors, especially with the implementation of machine learning. Machine learning is helping these sectors organise, program and analyse data, by automating processes and freeing up human resources that can be better applied in other areas. A more specific subset of artificial intelligence (AI), Read More
Source:- kfgo.com ZURICH (Reuters) – As global currency markets grapple with a growing number of flash crashes triggered by shutdowns in algorithmic trading systems when volatility spikes, UBS is utilizing machine learning technology to carry on dealing. While algorithmic trading has played a growing role in the $5.1 trillion-a-day global foreign exchange market, accounting for up 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:- designnews.com Machine learning is opening up new features and applications that will forever change how users expect their systems to behave. Machine learning for embedded systems has been gaining a lot of momentum over the past several years. For embedded developers, machine learning was something that data scientists were concerned with and something that lived Read More
Source: madison.com. Throughout the last century, we created and perfected the art of computer programming to automate mundane tasks. Conventional programs, however, still rely on hand-crafted rules, making programming a complicated and tedious task. Suppose you were to develop an email spam filter. Using traditional programming, you would have to read through millions of emails to Read More
Source:- techiexpert.com. Machine learning enables computers to assist humans in analyzing data from giant, advanced information sets. one amongst the advanced information is biology and genomic information that has to analyze a varied set of functions mechanically by the computers. These machine learning strategies will offer additional help for creating this information for any usage like cistron Read More
Source:- adtmag.com. Google’s Android developer team updated ML Kit, which packages up the company’s machine learning expertise and technology for mobile developers creating Android or iOS apps. ML Kit provides base APIs ready to be used “out of the box” for tasks such as creating custom models used on-device or in the cloud. The kit is used Read More
Source:- activestate.com. These days, it seems like Machine Learning (ML) is everywhere. Well, everywhere except in legacy applications. But you can hardly blame the application if it was created prior to the recent advances in Python that have made ML mainstream (i.e. the last 3-5 years). Unfortunately, rewriting or refactoring legacy applications is typically a cost-prohibitive non-starter. Read More
Source:- smallbiztrends.com our business operates under a rock on an isolated island in the South Pacific. So you know artificial intelligence (AI) is the big thing today. AI assists consumers in their day-to-day activities with or without their knowledge. Consider services like voice assistance, online shopping, content streaming, and even texting. Machine learning (ML) is an application of Read More
Source- zdnet.com The enterprise has long since eclipsed the days of manually analyzing data, as doing so is both expensive and impractical considering the sheer amount of data organizations generate. For years, this task has been delegated to programmers, who often were tasked with creating custom scripts requiring frequent revision and fine-tuning. Those days are Read More