Topic "Taking the complexity out of Machine Learning with Microsoft Azure Machine Learning studio" Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Azure Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel. Demo: importing a data set in to Azure Machine Learning Studio and publish the model as web services. Bio Frank Falvey is an Azure Cloud Advocate, working in Dell Technologies and based in Cork, loves problem solving or sharing his knowledge with people.
The index combines technology--developed at the Wright State University KNO.E.SIS Innovation Center in Dayton, Ohio--with behavioral psychology to analyze conversations across social platforms like Twitter, Reddit, and blogs. The text, and its context, are categorized into emotions (joy, anger, disgust, fear, sadness, surprise) using machine learning. Then it's all translated into behavioral signals, which are calibrated on a scale of zero to 100--zero being "at home emotionally" and 100 being somewhere near "nervous breakdown." The points are then plotted on a map.
Brainstorm guest contributor Paul Fraumeni speaks with four York U researchers who are applying artificial intelligence to their research ventures in ways that, ultimately, could lead to profound and positive impacts on health care in this country. Meet four York University researchers: Lauren Sergio and Doug Crawford have academic backgrounds in physiology; Shayna Rosenbaum has a PhD in psychology; Joel Zylberberg has a doctorate in physics. They share two things in common: They focus on neuroscience – the study of the brain and its functions – and they leverage advanced computing technology using artificial intelligence (AI) in their research ventures, the application of which could have a profound and positive impact on health care. In a nondescript room in the Sherman Health Sciences Research Centre, Lauren Sergio sits down and places her right arm in a sleeve on an armrest. It's an odd-looking contraption; the lower part looks like a sling attached to a video game joystick.
In the last two years, large enterprise organizations have been scaling up their artificial intelligence and machine learning efforts. To apply models to hundreds of use-cases, organizations need to operationalize their machine learning models across the organization. At the center of this scaling up effort is ModelOp, the company that builds solutions to scale the processes that take models from the data science lab into production. Even before their recent $6 million Series A funding led by Valley Capital Partners with participation from Silicon Valley Data Capital, they are already the leader providing ModelOps solutions to Fortune 1000 companies. ModelOps is a capability that focuses on getting models into 24/7 production.
China is deploying robots and drones to remotely disinfect hospitals, deliver food and enforce quarantine restrictions as part of the effort to fight coronavirus. Chinese state media has reported that drones and robots are being used by the government to cut the risk of person-to-person transmission of the disease. There are 780 million people that are on some form of residential lockdown in China. Wuhan, the city where the viral outbreak began, has been sealed off from the outside world for weeks. The global death toll from coronavirus topped 2,100 people this week, with over 74,000 infected.
I joined Infosys in June of 2019. The reason I came here is that we have the unique intersection of being able to build an executable strategy. Many services firms love to do strategy work and then fail at execution. Some are great at execution but make everything about price. What drew me to Infosys is that we make it about realized value.
The future has always held a special type of fascination in our movie experience. Inherent in all future timelines is the promise of what could be as well as the horrors of where we might be headed. As our technology advances further than sci-fi writers of the past could even imagine, so too does our concept of the power in artificial intelligence. Whether it be imbued with the flaws of humanity or a slave to cold, calculated logic, AI has fascinated moviegoers for over half a century. You could argue that the creative landscapes in sci-fi films of the past, along with the ability of life to imitate art, helped dream up the supercomputer in your pocket.
Artificial Intelligence (AI) in the oil and gas industry stands to reach US$2.85 billion by 2022. Because data is never special. Oil rigs may generate somewhere around 50 terabytes a year, but that kind of big data needs to be applicable to be useful and, unfortunately, humans do a terrible job of classifying things into datasets. Indeed, a good scenario will see 10% of the resulting datasets actually be beneficial. Most competing firms are also known to have access to the same datasets.
As the ripple of COVID-19 careens around the globe, it's forcing humankind to innovate and change the way we work and live. The upside of where we find ourselves right now is that individuals and corporations will be more resilient in a post-COVID-19 world. Here are nine predictions of what our world may look like once we have left the pandemic behind. There was a time not too long ago that we were impressed by touch screens and all they enabled us to do. COVID-19 has made most of us hyper-aware of every touchable surface that could transmit the disease, so in a post-COVID-19 world, it's expected that we'll have fewer touch screens and more voice interfaces and machine vision interfaces.
What's dangerous is not to evolve. The darling of consumers and investors alike, Mr. Bezos sure seems to have the future figured out. Amazon today is the most AI driven customer experience platform in the world, besides just being an e-commerce marketplace. Retail has moved from the brick-and-mortar store front to beautiful and highly aesthetic web portals, accessible on any device you use, that seem, at times, shockingly intuitive. The secret ingredient here is AI.