Source – https://www.iotforall.com/ Having worked as a software developer and with software developers for over a decade now, one of the things I have learned to appreciate is just how much developers dislike inefficiency. Anything we can do to automate our jobs and make them faster and easier will inevitably be done. Think back to Read More
Category: Machine Learning
Machine Learning
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Source – https://www.marktechpost.com/ Google AI has announced the release of Model Search, a platform that will help researchers develop machine learning (ML) models automatically and efficiently. Model Search isn’t domain-specific, flexible, and well equipped to find the appropriate architecture that best fits a given dataset and problem. At the same time, it minimizes the coding time, Read More
Source – https://www.analyticsinsight.net/ The world is drooling over Artificial Intelligence. From research institutions to corporate houses, every organization aims to create AI-driven systems to build their enterprise. Machine Learning, or more commonly known as ML, is a sub-array of AI. With ML, you can teach the machines to behave like humans, i.e. develop brains in a Read More
Source – https://www.housingwire.com/ Home Lending Pal’s marketplace leverages artificial intelligence, data science and machine learning to automate manual tasks To be successful, lenders have to rely on mortgage lead generation to find potential borrowers. But generating leads isn’t an easy process, especially if businesses depend on older methods to produce results. Home Lending Pal (HLP) Read More
Source – https://jpt.spe.org/ Algorithms are taking over the world, or so we are led to believe, given their growing pervasiveness in multiple fields of human endeavor such as consumer marketing, finance, design and manufacturing, health care, politics, sports, etc. The focus of this article is to examine where things stand in regard to the application Read More
Source – https://healthitanalytics.com/ Machine learning tools were able to identify biomarkers in blood that could enable earlier diagnosis of children with autism spectrum disorder. Machine learning tools analyzed hundreds of proteins and identified blood biomarkers that could speed the diagnosis of autism spectrum disorder (ASD), according to a study published in PLOS One. ASD impacts at least one Read More
Source – https://www.scientificamerican.com/ You can call it the ‘revenge of the computer scientist.’ An algorithm that made headlines for mastering the notoriously difficult Atari 2600 game Montezuma’s Revenge, can now beat more games, achieving near perfect scores, and help robots explore real-world environments. Pakinam Amer reports. This is Scientific American’s 60 Second Science. I’m Pakinam Read More
Source – https://venturebeat.com/ Most companies are struggling to develop working artificial intelligence strategies, according to a new survey by cloud services provider Rackspace Technology. The survey, which includes 1,870 organizations in a variety of industries, including manufacturing, finance, retail, government, and healthcare, shows that only 20 percent of companies have mature AI/machine learning initiatives. The Read More
Source – https://solutionsreview.com/ Mission is launching a dedicated Data, Analytics, & Machine Learning practice for Amazon Web Services, according to a press release on the company’s website. The new practice provides data engineering, analytics, machine learning, and data science expertise and tools to customers. This branch is led by Dr. Ryan Ries, who has 15 years of Read More
Source – https://www.healthcareitnews.com/ An expert in machine learning and natural language processing discusses how these technologies are enhancing care and enabling the use of SDOH data and personalized analytics. Some healthcare provider organizations are using machine learning and other forms of artificial intelligence to provide clinicians with the best evidence-based care pathways. A group’s aim could be to Read More
Source – https://www.pharmacypracticenews.com/ Opioid stewardship is most often a multidisciplinary effort, but at Lifespan health system in Rhode Island, an unusual team “member”—artificial intelligence—is being recognized for its contribution. Employing physician education and machine learning led to significant reductions in prescribed opioid doses, decreases in benzodiazepine co-prescribing, and increased naloxone co-prescribing, as Ashley Rimay, PharmD, Read More
Source – https://www.analyticsinsight.net/ Researchers have embraced transfer learning to address algorithm challenges Advanced machines never fail to leave men in awe. But only researchers who worked behind the machines know how much time, cost and data it took to become a stage stealer. Training an algorithm that employs various features in a machine is quite nerve-wracking. Read More
Source – https://www.geospatialworld.net/ There has been substantial progress in building a Machine Learning (ML) methodology for Earth Observation (EO) data analysis; however, experts worldwide face many challenges while using ML algorithms on EO data. For ML models to work, two processes work simultaneously. First, tons of data is captured from EO satellites, which is processed Read More
Source – https://analyticsindiamag.com/ Twitter and Facebook use algorithms to ease the burden of human moderators. But, how good are these algorithms? “Freedom of expression is not absolute and it is subject to reasonable restrictions.” MeitY, citing Article 19 (2) Earlier this month, the Government of India reprimanded Twitter for allowing fake, unverified, anonymous and automated bot accounts Read More
Source – https://www.forbes.com/ AI and Machine Learning are on track to generate between $1.4 Trillion to $2.6 Trillion in value by solving Marketing and Sales problems over the next three years, according to the McKinsey Global Institute. Marketers’ use of AI soared between 2018 and 2020, jumping from 29% in 2018 to 84% in 2020, Read More
Source – https://thepaypers.com/ Sean Nierat from PayPal has explained to The Paypers why there is a need of systems that not only make accurate predictions, but also that explain why they’ve arrived at a particular answer Machine learning (ML) is part of a burgeoning AI industry that could soon become a multitrillion-dollar opportunity for global businesses. It is Read More
Source – https://www.healtheuropa.eu/ Researchers say that machine learning could help guide healthcare workers’ treatment decisions for lung cancer patients after developing a model that is 71% more accurate at predicting survival expectancy of patients. A team of Penn State Great Valley researchers conducted a study in which they developed a deep learning model that is more than Read More
Source – https://www.selectscience.net/ Researchers have developed a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients When the COVID-19 pandemic struck in early 2020, doctors and researchers rushed to find effective treatments. There was little time to spare. “Making new drugs takes forever,” says Caroline Uhler, a computational biologist Read More
Source – https://www.businessinsider.com/ The term “digital transformation” has become so ubiquitous that it can mean almost any change from a manual process to an electronic one. But why do we have to think of change in terms of digital transformation? Few would argue that replacing an inefficient manual task with automation is a “transformation.” However, Read More
Source – https://www.analyticsinsight.net/ As the need for machine learning increases, data scientists are on the spree to become experts in the technology The concept of machine learning and the increasing demand for data scientists has been around for a while. But the ability to apply machine learning algorithms and mathematical calculation to big data is gathering momentum only recently. Read More
Source – https://www.forbes.com/ CTO & MD at AX Semantics, the SaaS-based, Natural Language Generation Platform that creates any content, in any language, at any scale. 2020 was a year most of us want to forget. The pandemic brought on economic, logistical and technological challenges on a massive global scale, leaving businesses scrambling to adapt. Amidst the Read More
Source – https://www.cmswire.com/ Artificial intelligence (AI) and machine learning (ML) are positioned to disrupt the way we live and work, even the way we interact and think. Machine learning is a core sub-area of AI. It makes computers get into a self-learning mode without explicit programming. At this point, most organizations are still approaching ML Read More
Source – https://www.marketscreener.com/ Machine learning: Accelerating your model deployment Business models rely on data to drive decisions and make projections for future growth and performance. Traditionally, business analytics has been reactive – guiding decisions in response to past performance. But today’s leading companies are turning to machine learning (ML) and AI to harness their data Read More
Source – https://www.drugtargetreview.com/ A study has used artificial intelligence to reveal adeno-associated virus (AAV) capsid variants for use in gene therapies. A new study has demonstrated the use of artificial intelligence (AI) to generate a diversity of adeno-associated virus (AAV) capsids towards identifying functional variants capable of evading the immune system, a factor that is critical to Read More
Source – https://www.technologynetworks.com/ In their machine learning-based capsid diversification strategy, the team focused on a 28 amino acid peptide within a segment of the AAV2 VP3 capsid protein that exposes the AAV capsid to neutralizing antibodies produced by individuals and thus can be the cause of an immune response against the virus. More purple colored Read More
Source – https://analyticsindiamag.com/ Today, businesses are increasingly reliant on artificial intelligence and machine learning to solve critical problems. However, dealing with immense data complexities along with the pressure of having to provide rapid results, could be crippling. Most companies find building an ML-savvy framework quite overwhelming. In an engaging session at MLDS 2021, Sayanti Bhattacharya, Senior Read More
Source – https://www.analyticsinsight.net/ According to a WHO prediction, by 2020, roughly 20% of India will suffer from some mental illness and 450 million people currently suffer from a mental illness, worldwide. These numbers are a wake-up call that psychology as an issue and psychologists as a profession must be taken seriously. Such helping professions are Read More
Source – https://www.dvidshub.net/ What does a computer have that humans don’t? The answer depends on who you ask. Those who build surveillance systems would say it’s near-perfect, objective recall. A robotics engineer might say it’s the ability to handle tedium. A team at Naval Information Warfare Center (NIWC) Pacific conducting research in wargaming says it’s Read More
Source – https://www.globenewswire.com/ Machine learning document analysis accelerates quality contract processing, customer onboarding and payment solutions. Longmont, CO, Feb. 09, 2021 (GLOBE NEWSWIRE) — Parascript, which provides document analysis software processing for over 100 billion documents each year, announced today the Smart-Force (SFORCE) and Parascript partnership to provide a digital workforce that augments operations by Read More
Source – https://thebossmagazine.com/ The Internet of Things (IoT) and machine learning are two of the most disruptive technologies in business today. Separately, both of these innovations can bring remarkable benefits to any company. Together, they can transform your business entirely. The intersection of IoT devices and machine learning is a natural progression. Machine learning needs Read More