Source: infoworld.com Amazon has created an open source toolkit for automated machine learning, called AutoGluon, designed to make it easier for software developers to take advantage of deep learning models in their applications. AutoGluon is intended for both machine learning experts and beginners, the company says. Officially launched January 9, AutoGluon lets developers harness machine learning models with image, Read More
Tag: Development
Source: telecompaper.com Singapore operator M1 and Singapore Institute of Technology (SIT) have signed a research collaboration agreement, to jointly research and develop artificial intelligence (AI) deep learning algorithms and methodology to upgrade the planning, operations and maintenance of large and complex mobile networks. M1 and SIT plan to jointly develop AI services to reduce manual Read More
Source: dqindia.com From the emerge of cognitive intelligence, in-memory-computing, fault-tolerant quantum computing, new materials-based semiconductor devices, to faster growth of industrial IoT, large-scale collaboration between machines, production-grade blockchain applications, modular chip design, and artificial intelligence technologies to protect data privacy, more technology advancements and breakthroughs are expected to gain momentum and generate big impacts the Read More
Source: interestingengineering.com Since Artificial Intelligence became a hot topic, some people started having concerns about it. Creating something which is smarter than humans and more capable of anything than humans can be pretty dangerous, according to those people. Rich Walker, who’s the Shadow Robot Company Director, is one of the people who warn others about Read More
Source: bleepingcomputer.com As of January 1st, 2020, Python 2.7 has officially reached the end of life and will no longer receive security updates, bug fixes, or other improvements going forward. Released in 2000, Python 2.7 has been used by developers, administrators, and security professionals for 20 years. While Python 3 was released in 2006, due to Read More
Source: towardsdatascience.com It’s been a hell of a decade for data science — Watson dominated Jeopardy (2011), the White House announced the first Chief Data Scientist (2015), and Deepfakes provided all the Nicolas Cage films we ever wanted (2017). Even our discipline’s name, data science, came out of the last 10 years. With 2019 coming to Read More
Source: techrepublic.com In 2019, enterprise demands rose for real-time and near real-time analytics, and data continued to expand its role in everyday business operations and decision-making. Enterprises will continue to build on these trends in 2020, and that will drive analytics vendors to add new capabilities and expand their offerings. Here are eight key trends Read More
Source: telecoms.com As her EU Presidency comes to an end, Finland is offering the 513 million people living in the European Union a parting / Christmas / New Year gift: the Nordic country is making “Elements of AI”, an online introductory course for non-professionals, freely accessible to everyone in the Union’s 28 member states. The Read More
Source: businessamlive.com The idea of data generating business value is not new. However, the effective use of data is becoming the foundation of competition. Business has always wanted to develop insights from information in order to make better, smarter, real-time, fact-based decisions. It is this demand for profundity of knowledge that has powered the growth of Read More
Source: forbes.com Neurodiversity is the concept of neurological differences observed in human variations. Historically, these differences have been labeled as Autistic Spectrum, Dyspraxia, Dyslexia, ADHD, etc.. At times, we were quick to call neurodivergence a developmental disorder or a disease. But, we know much more now. Neurodiversity is a competitive advantage. In the age of Read More
Source: venturebeat.com Artificial intelligence garnered a lot of attention from the usual players — governments, tech giants, and academics — throughout 2019. But it was also a big year for business AI, with even more growth expected ahead. In a March KPMG survey, more than half of business executives said their company would implement enterprise-scale AI Read More
Source: techxplore.com Recent advances in machine learning have enabled the development of techniques to detect and recognize human emotions. Some of these techniques work by analyzing electroencephalography (EEG) signals, which are essentially recordings of the electrical activity of the brain collected from a person’s scalp. Most EEG-based emotion classification methods introduced over the past decade Read More
Source: mashviral.com Google AI makes memory a gameTiernan Ray explains how DeepMind, a Google unit that develops ambitious artificial intelligence projects, found a way to stimulate the kind of long-term planning of risk and reward that humans do by turning memory into a game of actions and benefits futures. Google has announced the acquisition of Read More
Source: fiercehealthcare.com The Department of Veterans Affairs (VA) wants to become a leader in artificial intelligence and launched a new national institute to spur research and development in the space. The VA’s new National Artificial Intelligence Institute (NAII) is incorporating input from veterans and its partners across federal agencies, industry, nonprofits, and academia to prioritize AI R&D to improve Read More
Source: techxplore.com Most deep-learning algorithms perform well when trained on large sets of labeled data, but their performance tends to decline when processing new data. Researchers worldwide have thus been trying to develop techniques that could improve the ability of these algorithms to generalize well across both new and previously processed data, enabling what is Read More
Source: mic.com It may seem like artificial intelligence is quickly seeping into just about everything. While that might raise concerns about a Skynet-style takeover, the quiet secret about AI is that it isn’t taking over. In fact, some experts believe that AI in its current form is starting to slow down, reaching its maximum capacity Read More
Source: phocuswire.com As a concept, artificial intelligence has technically existed since the 1950s. Specifically, the term was first coined in a conference at Dartmouth College in 1956, and has since come to be known by the more simplified initialism of AI. It may have far future implications, but artificial intelligence is used now in more Read More
Source: news-medical.net Caicedo et al. have determined an evaluation framework to assess the improvements in fluorescent images of nucleus segmentation achieved by machine learning versus classical approaches. The team revealed that of the two deep learning modes interrogated (DeepCell and U-Net), there was improved accuracy of nuclei segmentation when both methods were trained with a large fluorescence Read More
Source: youthkiawaaz.com Like any other country in the world, India, too, has its own socio-economic and governance problems. Some issues like economic slowdown, unemployment, deteriorating health care, education quality, and communalism have been worrying India since before independence. These problems still persist and have held India tightly in their jaws. But, besides these conventional challenges Read More
Source: dqindia.com Artificial intelligence is already impacting our lives in a major way. Be it getting driving instructions through our smartphone or getting daily reminders by our fitness device to increase our workouts, all these are manifestations of how artificial intelligence is changing the way we function. What is often less understood is the significant Read More
Source: towardsdatascience.com As you already know-how Machine learning is playing a crucial role in predicting your upcoming actions. Now it’s time to see how Machine learning is revolutionizing Mobile app development. What is Machine learning? Machine learning is the application of Artificial Intelligence which makes computers predict the outcomes automatically without the intervention of human Read More
Source: techcrunch.com Paperspace has always had a firm focus on data science teams building machine models, offering them access to GPUs in the cloud, but the company has had broader ambition beyond providing pure infrastructure, and today it announced a new set of tools to help these teams pass the model off to developers and operations Read More
Source: finextra.com Data science company DataRobot has raised a Series E funding round of an estimated $200 million to develop its artificial intelligence software and automated machine learning, sources have revealed to Xconomy. News of the funding, led by the California-based firm Sapphire Ventures, spread via a blog linked to unicorn investment index run by Read More
Source: microfinancereporter.com The research report titled, ‘Global Microservices in Healthcare Market’, is an in-depth study of the overall environment of the market. The study found that the market will grow at a rate of XX% CAGR over the coming years, down from the nearly XX% growth level seen in the previous year. The total global Read More
Source: cbronline.com Google Cloud Platform (GCP) has integrated two of its AI-centric tools. The move connects the “What-If” tool, announced last year, with GCP’s AI Platform: the company’s code-based data science development environment. What-If is an AI/ML model visualisation tool that lets data scientists and other users analyse how an ML model would perform if you tweaked various Read More
Source: itproportal.com Data Scientist’ was recently named the most sought-after role from a recruitment perspective in the US according to figures from Glassdoor, and it’s been at the top spot for the last four years. Businesses are increasingly looking at those in this role to deliver business growth, and, in turn they are seen as Read More
Source:-techziffy.com Data Mining Software Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2019-2026). The research presents a complete assessment of the market and contains Future trend, Current Growth Factors, attentive opinions, facts, historical data, and statistically supported and industry validated market data. The Scope Read More
Source:- hbr.org Last year, U.S. companies spent roughly $90 billion on learning and development efforts, a sum higher than the gross domestic product of 130 countries. In 2018, the average American employee received training at a cost close to $1,000 per person. On its own that might not sound like much, but to put those numbers into perspective: for Read More
Source:- venturebeat.com Deploying AI-imbued apps and services isn’t as challenging as it used to be, thanks to offerings like IBM’s Watson Studio (previously Data Science Experience). Watson Studio, which debuted in 2017 after a 12-month beta period, provides an environment and tools that help to analyze, visualize, cleanse, and shape data; to ingest streaming data; and Read More