Source: forbes.com A few years back, most people in the tech industry were talking about the “smart home.” Every device would not only be an internet of things (IoT) device, but they would also communicate to provide services. As with much new tech, that was oversold. However, there’s still the issue of the connected home. Read More
Source: hindustantimes.com There is absolutely no denying that machine learning is the future especially with the explosion in data that we see around us. Simply defined, machine learning the process of using AI to ‘learn’ from existing data to make decisions with minimal human interaction or explicit programming. There are plenty of use cases for Read More
Source: unite.ai Creating an Artificial General Intelligence (AGI) is the ultimate endpoint for many AI specialists. An AGI agent could be leveraged to tackle a myriad of the world’s problems. For instance, you could introduce a problem to an AGI agent and the AGI could use deep reinforcement learning combined with its newly introduced emergent consciousness to Read More
Source: venturebeat.com Carnegie Mellon, Google, and Stanford researchers write in a paper that they’ve developed a framework for using weak supervision — a form of AI training where the model learns from large amounts of limited, imprecise, or noisy data — that enables robots to efficiently explore a challenging environment. By learning to reach only areas of its surroundings Read More
Source: analyticsindiamag.com Artificial Intelligence (AI) represents a drastic change in the technological evolution. At the moment, this technology is used in every field of science. We have seen the use of AI in various arenas such as autonomous vehicles, face recognition and robotics, among others. Similarly, it is also embedded in the medical field in Read More
Source: searchenterpriseai.techtarget.com How far are we from artificial general intelligence? And if we ever see true AGI, will it operate similar to the human brain, or could there be a better path to building intelligent machines? Since the earliest days of artificial intelligence — and computing more generally — theorists have assumed that intelligent machines would think in Read More
Source: techxplore.com Large-scale software services fight the efficiency battle on two fronts—efficient software that is flexible to changing consumer demands, and efficient hardware that can keep these massive services running quickly even in the face of diminishing returns from CPUs. Together, these factors determine both the quality of the user experience and the performance, cost, Read More
Source: techtimes.com Artificial Intelligence (AI) has been impacting the world at a rapid pace. It marks the beginning of a technological revolution that can significantly alter the course of human history. The growth of AI is rooted in the three core pillars encompassing Natural Language Processing (NLP), Machine Learning (ML) and Robotics. Warnings about AI Read More
Source: knnit.com Programming has become one of the most famous fields of computers. No doubt, programming is not too easy but it is also true that it is not much difficult. If a person pays proper attention, he can become an expert in this field. There are many languages that are used for programming of Read More
Source: healthitanalytics.com April 06, 2020 – ONC is collaborating with NIH’s National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) to apply machine learning and artificial intelligence to patient-centered outcomes research (PCOR) on chronic kidney disease. Through a project called Training Data for Machine Learning to Enhance PCOR Data Infrastructure (the PCOR Machine Learning Project), ONC and NIDDK are seeking Read More
Source: appdevelopermagazine.com Infragistics is excited to announce a major upgrade to its embedded data analytics software, Reveal. In addition to its fast, easy integration into any platform or deployment option, Reveal’s newest features address the latest trends in data analytics: predictive and advanced analytics, machine learning, R and Python scripting, big data connectors, and much more. These Read More
Source: arcweb.com ARC’s Harry Forbes, Research Director for Automation, interviewed Christine Boles, Intel’s Vice President of the IOT Group/General Manager, Industrial Solutions Division, at the ARC Industry Forum in Orlando. Discussions ranged from Intel’s position in the value chain for industrial systems, new technologies, and AI in manufacturing. Intel is a provider of many products and Read More
Source: cmswire.com Artificial intelligence (AI) is slowly becoming more mainstream, as companies amass large amounts of data and look for the right technologies to analyze and leverage it. That’s why Gartner predicted that 80% of emerging technologies will have AI foundations by 2021. With the trend towards predictive analytics, machine learning and other data sciences already underway, Read More
Source: allaboutcircuits.com Considering that thousands of components must be packed onto a tiny fingernail-sized chip, this can be difficult. The trouble is that it can take several years to design a chip, and the world of machine learning and artificial intelligence (AI) moves much faster than this. In an ideal world, you want a chip Read More
Source: infoq.com Uber andOpenAI have open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to leverage heterogeneous computing hardware, dynamically scale algorithms, and reduce the burden on engineers implementing complex algorithms on clusters. It’s a challenge for machine learning Read More
Source: e3zine.com According to software vendors executing the big data projects, the answer is clear: More data means more options. Then add a bit of machine learning (ML) for good measure to get told what to do, and the revenue will thrive. This is not really feasible. Therefore, before starting a big data project, a Read More
Source: At its core, Artificial Intelligence and its partner Machine Learning (abbreviated as AI/ML) is math. Complex math, but math nonetheless. Specifically, it’s probability – the application of weighted probabilistic networks at a computational scale we’ve never been able to perform before, which allows the computed probabilities to become self-training. It’s that characteristic more than Read More
Source: thebulwark.com anaging uncertainty and acquiring data are hard even in the best of circumstances. In the middle of a global pandemic? Good luck. The world is getting a crash course in the uncertainty of medicine, a discipline that is informed by science and strives to be scientific, but which operates far more often than Read More
Source: mentaldaily.com n many nations, artificial intelligence (AI) replaced tasks human intelligence is capable of, decreasing labor costs and even improving our comprehension of various industries through the use of machine learning. A new paper by Rensselaer Polytechnic Institute asserts, while artificial intelligence may be beneficial for businesses in sectors such as healthcare, web programming, and Read More
Source: techexplorist.com Scientists at the Center for Nanoscale Materials (CNM), a U.S. Department of Energy (DOE) Office of Science User Facility located at the DOE’s Argonne National Laboratory, have developed a new machine-learning algorithm that allows them characterizing 3D microstructures of materials in real-time. Within seconds, the algorithm tells the user the exact microstructure in all Read More
Source: analyticsindiamag.com When someone copies and pastes a piece of information from a website, they are essentially doing the same thing that a web scraper does. The only difference is that they do it on a smaller scale. When it comes to web scraping, it uses intelligent automation to acquire information from hundreds, millions – Read More
Source: analyticsindiamag.com The one thing that is common between development projects and data projects is that they both hold a lot of promise. But, at the time of rolling out production, the latter is delivered late and once that is done, they tend to underperform. One of the main reasons for their potential underperformance is Read More
Source: itbrief.com.au Enterprise artificial intelligence (AI) provider DataRobot has enhanced its platform to include new capabilities in visual AI and automated deep learning, as well as separate capabilities for MLOps and automated time series. DataRobot’s SVP of product and customer experience, Phil Gurbacki, says the company wants to push the boundaries of what’s possible. “Subject Read More
Source: As per UiPath, 2014 was the moment when robotic process automation began to be a noteworthy contender to business process outsourcing. A while later, it took just two additional years until it began to be institutionalized by business organizations. Where are we today? We are at a point where both adoption and scaling have Read More
Source: searchsoftwarequality.techtarget.com One of the most crucial decisions when writing your own test automation scripts will be your choice of programming language. Selection of a test automation language depends largely on the language an application was developed with, but there are other factors to consider. Writing test scripts in the same language that the app Read More
Source: Artificial Intelligence can now beat all 57 Atari 2600 games. Alphabet subsidiary DeepMind has revealed that their Agent57 can beat humans on the classic 1977 console. This is pretty big news, but not unsurprising. A.I. has been heading this way for quite a while, especially after supercomputer AlphaGo won the final match against the best Read More
Source: consultancy.asia Digital and business transformation consultancy R/GA has launched an innovative ‘Lean Experience Stack’ offering in the Asia Pacific – designed to enable clients to create best-in-class digital experiences with lower investment costs, mitigated risk, and a speedier time to market. The new service will be led by R/GA’s APAC Executive Technology Director Anthony Baker, a Read More
Source: itbrief.com.au LINE Corporation has selected Cloudera to develop its AI technology based business and further empower its Data Science and Engineering Centre (DSEC), thus strengthening its data-driven business objectives. According to Cloudera, LINE will utilise Cloudera’s open source technologies to manage data lifecycles and security. LINE’s DSEC is a research and development (R&D) arm Read More
Source: aithority.com Treehouse Software, Inc. is pleased to announce an agreement with Google Cloud as a technology partner in the Google Cloud Partner Advantage Program. As a technology partner, Treehouse Software Inc. will now offer enterprise customers a comprehensive Mainframe-to-Google Cloud data replication and migration solution. This relationship provides Google Cloud customers with Treehouse’s combination Read More
Source: Back in 2008, theoretical physicist Stephen Hawking used a speech synthesizer program on an Apple II computer to “talk.” He had to use hand controls to work the system, which became problematic as his case of Lou Gehrig’s disease progressed. When he upgraded to a new device, called a “cheek switch,” it detected when Hawking tensed Read More