Source: enterprisersproject.com As artificial intelligence (AI) and machine learning (ML) are increasingly deployed throughout organizations, they are being tasked with solving some of the biggest business challenges. One of the toughest: IT security. In 2020, the average cost of a data breach is $3.86 million worldwide and $8.64 million in the United States, according to IBM Security. The number of endpoints Read More
Tag: Machine learning
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Source: blog.executivebiz.com Amazon Web Services partnered with social media platform developer RallyPoint, the Department of Veterans Affairs and Harvard University to develop a machine learning model that can detect mental health issues among veterans, Nextgov reported Friday. Under an agreement with VA, the Amazon Machine Learning Solutions Lab worked with RallyPoint and Harvard’s Nock Lab mental health professionals to utilize data Read More
Source: techrepublic.com The synthesis of organic molecules is integral to scientific and commercial product development ranging from aspirin to nylon. Up until now, this process has been highly manual and labor intensive, and it has consisted of multiple steps. The process slows down development and can be frustrating—especially when trying to develop therapeutic treatments and Read More
Source: unite.ai One of the less glamorous aspects of artificial intelligence is that it often requires a large amount of processing power and therefore it often has a large energy footprint. Recent work done by researchers at UCL has determined a method of improving an AI’s energy efficiency. Neural networks and machine learning are powerful Read More
Source: thenextweb.com Researchers from the Queensland University of Technology (QUT) in Australia have developed an algorithm that detects misogynistic content on Twitter. The team developed the system by first mining 1 million tweets. They then refined the dataset by searching the posts for three abusive keywords: whore, slut, and rape. Next, they categorized the remaining 5,000 tweets as either Read More
Source: computerweekly.com When the world locked down in the spring of 2020 and millions of people all over the world suddenly had pivot to a culture of semi-permanent remote working, security teams and IT professionals were forced to contend with an equally sudden pivot among cyber criminals to exploiting the pandemic, and the gaping holes many businesses Read More
Source: tech.hindustantimes.com Apple might be working on launching its own search engine and according to reports there are several clues online that support the possibility including job announcements for search engineers. Apple is looking to create its Spotlight Search to take on Google Search with iOS 14 beta. Reports have it that Google pays billions Read More
Source: analyticsinsight.net Intelligence Amplification (IA), is designed to complement human intelligence. Intelligence amplification (IA) or cognitive augmentation or machine augmented intelligence was first proposed in the 1950s and 1960s by cybernetics and early computer pioneers. Intelligent Amplification, a novice term is used to describe the effective use of information technology to augment human intelligence. IA Read More
Source: malaysiasun.com Fifty potential planets have had their existence confirmed by a new machine learning algorithm developed by the University of Warwick scientists. For the first time, astronomers have used a process based on machine learning, a form of artificial intelligence, to analyse a sample of potential planets and determine which ones are real and Read More
Source: blog.adva.com I have written, some time ago, several columns covering artificial intelligence in my attempt to dispel the rumors, gossip and hype surrounding the notion. Plagiarizing nature … In this month’s column, I wanted to revisit the subject. In particular, I thought I’d take on the challenge to better understand “machine learning” and to Read More
Source:-primefeed Analysis of COVID-19 Impact on the Data Science and Machine Learning Platforms Market with Key Players Analysis The report highlights the current impact of COVID-19 on the Data Science and Machine Learning Platforms market along with the latest economic scenario and changing dynamics of the market. The report on the Data Science and Machine 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:-mdpi AbstractTo design geotechnical structures efficiently, it is important to examine soil’s physical properties. Therefore, classifying soil with respect to geophysical parameters is an advantageous and popular approach. Novel, quick, cost, and time effective machine learning techniques can facilitate this classification. This study employs three kinds of machine learning models, including the Decision Tree, Artificial Read More
SOURCE:-newsbrok The Machine Learning Operationalization Software market growth prospects have been showing great promise all over the world with immense growth potential in terms of revenue generation and this growth of the Machine Learning Operationalization Software market is expected to be huge by 2026.The growth of the market is driven by key factors such as Read More
Source:-.how2shout Many Python developers find it very difficult to carry out Machine Learning and Deep Learning stuffs in their laptops and computers because of the GPU requirements that are highly needed for a Deep Learning code to run smoothly and time efficiently. Due to this many Pythonists purchase new laptops and computers by spending huge Read More
Source:-analyticsinsight.net In the mid-twentieth century when the computer and its applications were starting to bring changes to the world, sociologist David Reisman had something stuck in his mind. He wondered what people would do once machine automation comes to effect and humans have no compulsion to do daily physical chores and strain their brain to Read More
Source: indiatoday.in The coronavirus outbreak has profoundly altered our daily lives. In a matter of weeks, industries across sectors essentially ground to a halt. Prevention and containment strategies pursued by the government witnessed people shifting to remote working and learning, embracing the new normal. Amidst companies downsizing operations, lay-offs, and an economic crisis, a sense Read More
Source: expresscomputer.in Prime Minister Narendra Modi on Saturday reiterated that the government will soon unveil a new cybersecurity policy. During his speech from the Red Fort on the 74th Independence Day, Modi said that India is alert, cautious and is taking decisions to counter cyber threats and is constantly developing new systems. The draft of Read More
Source: computerweekly.com Singapore’s DBS Bank has teamed up with Amazon Web Services (AWS) to equip at least 3,000 employees, including its senior leadership, with skills in artificial intelligence (AI) and machine learning (ML) by the end of 2020. Through the DBS x AWS DeepRacer League, participants will pick up ML coding skills to programme their own AWS Read More
Source: hindustantimes.com Whenever we use our smartphone or any other similar gadget, we do something over data. Data is generated enormously with every passing second, just because the number of people using the internet is increasing, as well as the time they spend over the internet is also increasing exponentially. The data that is generated Read More
Source: informationweek.com Online learning platform EdX; Google’s open-source machine learning platform, TensorFlow; and HarvardX have put together a certification program to train tech professionals to work with tiny machine learning (TinyML). The program is meant to support this specialized segment of development that can include edge computing with smart devices, wildlife tracking, and other sensors. The program Read More
Source: rtinsights.com For over a decade, AI has been in a hype cycle, triggered by the extensive deployment of machine learning technologies. But, in the past few years, AI experts and executives at major technology companies have warned of a looming AI winter, as we reach the computational limits of our current hardware. As research Read More
Source: learningsearchenterpriseai.techtarget.com Bias in machine learning models can lead to false, unintended and costly outcomes for unknowing businesses planning their future and victimized individuals planning their lives. This universal and inherent problem and the techniques to solve it weigh on the minds of data scientists working to achieve fair, balanced and realistic insights. Planner, builder, Read More
Source: analyticsinsight.net Artificial Intelligence (AI) made leapfrogs of development and saw broader adoption across industry verticals when it introduced machine learning (ML). ML helps in learning the behavior of an entity using patterns detection and interpretation methods. However, despite its unlimited potential, the conundrum lies in how machine learning algorithms arrive at a decision in the first place. Read More
Source: cio.com By now most of us understand that, in our current era, artificial intelligence (AI) and its subset machine learning (ML) have little to do with human intelligence. AI/ML is all about recognizing patterns in data and automating discrete tasks, from algorithms that flag fraudulent financial transactions to chatbots that answer customer questions. And Read More
Source: which-50.com The emergence of technologies such as AI and machine learning, along with sophisticated analytics, offers opportunities for smart manufacturers to transform their businesses radically — to create new product and service offerings while maximising the efficiency of supply chains and processes. Contemporary computing models — such as Cloud and, increasingly, Edge computing — Read More
Source: thearticle.com When Artificial Intelligence was in its infancy it was quite natural to give it a sonorous name. It needed to attract money and talent. It has since become a mainstream subject that seeks to imitate human intelligence. See a recent definition: “Artificial Intelligence is the theory and development of computer systems able to perform Read More
Source: analyticsinsight.net Machine learning, a sub-component of artificial intelligence, is not new to the enterprise. But with techniques like deep learning, emulating human brain actions, increasingly gaining traction, businesses are identifying new and potentially transformative deployments of digitally disruptive technologies. According to Algorithmia’s 2020 report, the main use cases for machine learning translate to customer service Read More
Source: enterpriseai.news Researchers from George Washington University have reported an approach for building photonic tensor cores that leverages phase change photonic memory to implement a neural network (NN). Their novel architecture, reported online in AIP Applied Physics Review last week, promises both performance gains and power advantages over traditional GPUs and other tensor core devices. Read More
Source: crn.in KPMG in India has entered into an alliance with Analytics Vidhya, one of the world’s leading data science community and knowledge portals to deliver a range of virtual sessions on multiple data science tools and technologies. As per KPMG’s India CEO Outlook 2019 Report, 89 percent of CEOs in India agree that data Read More