Source: outlookindia.com As humans, we love contrast. It is no wonder that experts, while defining the impact of Artificial Intelligence (AI) on the future of humankind, are at two ends of the spectrum. One is a happy scenario of human beings and artificially intelligent machines coexisting in perfect harmony. Another is an Orwellian dystopia of Read More
Tag: Machine learning
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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: analyticsinsight.net The Rapid Accessibility of Big Data powered with the advances in Machine Learning is propelling the modern Data Science Revolution Big Data, termed as the rapid inflow of data from a plethora of sources is proliferating and awe-inspiring. Coupled with the advances in machine learning, artificial intelligence and cloud computing, it allows the 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: dbta.com Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. However, the challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model 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: deccanchronicle.com London: Artificial intelligence (AI) can diagnose Alzheimer’s disease faster and improve prognosis, a new study has revealed. Alzheimer’s disease is a neurological disorder in which the death of brain cells causes memory loss and cognitive decline. Scientists at the UK’s University of Sheffield’s Neuroscience Institute examines how the routine use of AI in healthcare Read More
Source: infosecurity-magazine.com/ Whether we realize it or not, our digital lives and what we see on the internet are controlled and determined by algorithms and analytics. Through them, businesses learn what our preferences are and what we’re drawn to in order to target us with information. The idea is to present us with information that Read More
Source: thenextweb.com Two things often mentioned with deep learning are “data” and “compute resources.” You need a lot of both when developing, training, and testing deep learning models. When developers don’t have a lot of training samples or access to very powerful servers, they use transfer learning to finetune a pre-trained deep learning model for a new task. 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: techcentral.ie Pluralsight, the technology skills and engineering management platform, has announced a collaboration with Amazon Web Services (AWS) that will help technologists enhance their machine learning (ML) skills. The collaboration features an AWS DeepRacer hub on the Pluralsight platform that includes a customised channel, curated by Pluralsight and AWS experts, for AWS DeepRacer content. Read More
Source: zdnet.com The king of awe-inspiring viral videos, Boston Dynamics is continuing its push to commercialize its agile robot creations with a new pilot program at Ford. The car-maker will be leasing two robotic dogs, known as Spot, for its Van Dyke Transmission Plant. The dogs will be on something of a short leash, guided by handler Paula 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: genengnews.com In machine learning (ML), machines—computer programs—learn and improve based on the assessment of historical data without being directed to do so. This process allows them to improve the accuracy of predictions or decisions they make. ML is part of the wider field of artificial intelligence. But, unlike AI which seeks to mimic human 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: analyticsinsight.net Artificial intelligence adopts things like machine learning, language acknowledgment, and vision, while automation has been with us since the industrial revolution. Similarly, as automation has advanced, artificial intelligence has also progressed, and by bringing them together, automation accomplishes the benefits backed by intelligence. In the past, computing power was excessively restricted for us to apply artificial intelligence 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: pressroom.today The quantum of data generated, stalls the performance of traditional machine learning methods on a standstill, calling for enhanced reinforcement learning models such as deep learning – capable of training large neural networks. Building Deep Learning Neural Networks in Critical Infrastructure (CI): The process of Deep Learning such as classification, detection & localisation 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: discovermagazine.com Deep in the bowels of the Smithsonian National Museum of American History in Washington DC sits a large metal cabinet the size of a walk-in wardrobe. The cabinet houses a remarkable computer – the front is covered in dials, switches and gauges and inside it is filled with potentiometers controlled by small electric Read More
Source: analyticsinsight.net Robots and robotics, the two ambiguous terms, have gained more traction after the onset of the COVID-19 crisis. From automating the industry chains to monitoring the public crowd, the resourcefulness in the pandemic is undeniable. Before that, robots have already worked in environments or job lines that are deemed hostile or beyond the Read More
Source: analyticsinsight.net Becoming a data scientist is a relatively new career trajectory that merges statistics, business logic, and programming knowledge. Given the exponential amount of data being churned out via our smartphones, desktops, and the vast array of IoT devices throughout the world, governments and private enterprises are interested in gleaning insight from their extensive data collection 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: 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: 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: the-hookup.gadgethacks.com In the coming years, artificial intelligence (AI) will revolutionize every facet of technology and business. AI researchers are in high demand. Salaries in this field are regularly in the hundreds of thousands of dollars. AI is already disrupting and transforming numerous industries, including transportation, manufacturing, health care, education, media, and customer service. Businesses in practically every 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