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
Category: Machine Learning
Machine Learning
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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:-jobs.apple Summary Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just Read More
Source:-thedailychronicle Overview and Executive Summary: Data Science and Machine-Learning Platforms Market. This well articulated research report offering is an in-depth reference citing primary information as well as demonstrating nitty gritty developments in the Data Science and Machine-Learning Platforms market to harness a detailed overview of the global outlook of the Data Science and Machine-Learning Platforms Read More
Source:-sciencedirect Highlights•ECGs with electrode misplacement can simulate abnormalities such as ectopic rhythm, chamber enlargement or myocardial infarction, which can lead to significant diagnostic errors such as false positive diagnoses of anterior infarction, ventricular hypertrophy, ischemia, or Brugada syndrome.•V2 is the most sensitive misplaced electrode with regards to the change in the signal followed by V3, 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:-resources In this presentation was given at FloCon 2020 to introduce foundational data science concepts and prepare attendees to scope a new Artifical Intelligence and Machine Learning project. PUBLISHER:Software Engineering Institute AbstractAI has infused the network security landscape, fundamentally changing how network security is practiced. This course is intended to help managers and decision makers 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: 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: 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: engineering.com Engineering a single adept robot is in itself a feat. When several robots in motion inhabit the same space, more challenges arise. Multi-robot scenarios are becoming more common with the advancement of autonomous vehicles (AVs) and use of drones for various applications, as well as the current uses of robots to help curb 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: 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: 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: techrepublic.com/ A long-sought understanding of Parkinson’s Disease (PD) will be revealed at Friday’s 2020 Machine Learning for Healthcare Conference. In early 2019, IBM Research and The Michael J. Fox Foundation (MJFF) announced plans to collaborate and use artificial intelligence (AI) and machine learning (ML) to decode the elusive and complex mysteries surrounding PD symptoms and progression. IBM and the Read More
Source: healthitanalytics.com Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have developed a machine learning tool that can adapt when and how often it defers to human experts based on factors such as the expert’s availability and level of experience. In healthcare, the use of artificial intelligence and machine learning has become more widespread, but Read More
Source: infosecurity-magazine.com While global cybersecurity spending now surpasses $100 billion annually, 64 percent of enterprises were compromised in 2018, according to a study by the Ponemon Institute. What explains this less-than-impressive ROI? The standard answer is that wily cyber-criminals are employing ever-evolving, increasingly sophisticated attack methods, part of a never-ending game of cat-and-mouse in which they all too often Read More
Source: expresscomputer.in To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a Read More
Source: zeenews.india.com New Delhi: Google said it has built world’s fastest machine learning (ML) training supercomputer that broke AI performance records in six out of eight industry-leading MLPerf benchmarks. “The latest results from the industry-standard MLPerf benchmark competition demonstrate that Google has built the world’s fastest ML training supercomputer. Using this supercomputer, as well as Read More
Source: informationweek.com Our society is in a technological paradox. Life events for many people are increasingly influenced by algorithmic decisions, yet we are discovering how those very essential algorithms discriminate. Because of that paradox, IT management is in an unparalleled position to select human intervention that addresses diversity and inclusion with a team and equitable Read More
Source: A military drone misidentifies enemy tanks as friendlies. A self-driving car swerves into oncoming traffic. An NLP bot gives an erroneous summary of an intercepted wire. These are examples of how AI systems can be hacked, which is an area of increased focus for government and industrial leaders alike. As AI technology matures, it’s Read More
Source: aithority.com/ Artificial intelligence (AI) and machine learning (ML) are powering a whole new generation of business intelligence (BI) solutions. And these mission-critical software packages are in turn one of the primary drivers behind the migration of enterprise big data to the cloud. BI tools are designed to collect and analyze current and actionable data Read More
Source: intallaght.ie Proteins are fundamental molecules for life and are able to perform many functions, from creating structures to being catalysts for chemical reactions. Scientists and engineers, for years, have been looking for a way to create new proteins and make them perform new tasks. Thanks to machine learning the target seems close. Researchers from the Pritzker Read More
Source: photonics.com WASHINGTON, D.C., July 24, 2020 — Substituting a photonic tensor core for existing digital processors such as GPUs, a pair of engineers from George Washington University (GWU) has introduced a new technique for performing high-level neural network computations. In the approach, light energy replaces electricity, processing optical data feeds at a performance rate two Read More
Source: itproportal.com Automated machine learning (ML) sounds like the stuff of business leaders’ dreams. Take the question, ‘which customers should we focus our marketing budget on this year?’ ML can now deliver robust answers to these types of business questions even faster than before, through greater use of automation. Data in at one end, seriously Read More
Source: universalnews.org Machine learning is a method that provides IT systems with the ability to learn automated and enhances incidents without being directly programmed. It can also be considered as a data analysis method that automates systematic model development. And we can introduce Machine Learning (ML) into a more familiar word, as an application of Artificial Read More
Source: infoq.com Feature Store is a core part of next generation ML platforms that empowers data scientists to accelerate the delivery of ML applications. It enables the teams to track and share features with versioning enabled and serve features for model training, batch, and real-time predictions. Mike Del Balso from Tecton.ai and Geoff Sims from Atlassian recently spoke at Spark Read More
Source: institutionalassetmanager.co.uk Machine learning is the study of computer algorithms which adapt and improve through experience, and a form of artificial intelligence. The University’s role is to recruit recent graduates with the skills required by the company to undertake the project and ensure that Aquis remains a specialist provider of innovative technology to the finance Read More
Source: supplychaindigital.com Over the past four decades, much of manufacturing production world-wide has been organized in what has become known as Global Value Chains (GVCs). COVID-19 has struck at the core of global value chain hub regions, including China, Europe and the US. Now, as production comes back up to speed, companies are scrambling for a means Read More