AI & Machine Learning

Now, it’s not difficult to spot businesses across industries applying AI and ML technologies to streamlines their operations and to stay informed for making better decisions. With the right AI experts and right AI app.development, nearly every industry can reap the benefits of the technology. Here are 10 industries which will soon be revolutionized by

If I asked you to name the objects in the picture below, you would probably come up with a list of words such as “tablecloth, basket, grass, boy, girl, man, woman, orange juice bottle, tomatoes, lettuce, disposable plates…” without thinking twice. Now, if I told you to describe the picture below, you would probably say,

Surely some readers have already posed the question: why has a researcher in Supercomputing such as me, started to investigate Deep Learning and Artificial Intelligence? Source: Image from BSC-CNS using DL style transfer from algorithmia.com In fact, many years ago I started to be interested in how supercomputing could contribute to improving Machine Learning methods; Then, in 2006, I started co-directing PhD theses

Ready to learn Artificial Intelligence? Browse courses like  Uncertain Knowledge and Reasoning in Artificial Intelligence developed by industry thought leaders and Experfy in Harvard Innovation Lab. Close-up Of A Robot’s Hand Playing Chess Last week, in an essay for The New York Times, famous mathematician Steven Strogatz praised the recently published performance results of AlphaZero, the board game–playing

Ready to learn Machine Learning? Browse courses like Robotics Application Machine Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab.  Will we see a standard emerge in robotics process automation? What about seeing beyond the RPA hype? Blue Prism considers RPA trends for 2019 Will a new robotics process automation standard be an example

Ready to learn Artificial Intelligence? Browse courses like  Uncertain Knowledge and Reasoning in Artificial Intelligence developed by industry thought leaders and Experfy in Harvard Innovation Lab. Google CEO Sundar Pichai introduces Duplex AI at I/O 2018 developer conference (Source: YouTube) Last year, when I was rounding up the biggest artificial intelligence developments of 2017, I had a

Computer vision, the discipline of enabling computers to understand the context of images, is one of the most challenging areas of artificial intelligence. And naturally, like any other technology that creates a huge impact, deep learning became the focus of a hype cycle. Subsequently, deep learning pushed itself into the spotlight as the latest revolution in the artificial intelligence industry, and different companies and organizations started applying it to solve different problems. And like every other hyped concept, deep learning faced a backlash. Many experts believe that deep learning is overhyped, and it will eventually subside.

There is a lot of talk about how machine learning, AI, and big data can be used to help B2B companies improve their efforts. While there’s no disputing this, there is a large misconception that B2C businesses cannot be helped in the same way. This is, of course, quite false. B2C focuses on the individual, rather than an organization. So, can machine learning technology still fit into this category of B2C? Absolutely. Here are three key reasons why.

Ready to learn Machine Learning? Browse courses like Robotics Application Machine Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Set clear expectations of what the tools can do and how your organisation can use them to support digital transformation as part of an automation strategy, advises Cathy Tornbohm of Gartner Stress that RPA

Ready to learn Artificial Intelligence? Browse courses like  Uncertain Knowledge and Reasoning in Artificial Intelligence developed by industry thought leaders and Experfy in Harvard Innovation Lab. After discovering the amazing power of convolutional neural networks for image recognition in part five of this series, I decided to dive head first into Natural language Processing or NLP. (If you missed

Ready to learn Machine Learning? Browse Machine Learning Training and Certification courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. Deep Learning enjoys a massive hype at the moment. People want to use Neural Networks everywhere, but are they always the right choice? That will be discussed in the following sections, along