There is high complexity in adopting new hybrid and virtualized technologies, becoming more agile, efficient and responsive. In this article, Bishnu Nayak will give you some insight into IT modernization and legacy transformation, the challenges that come with it and the value of AI.
Google’s latest AI offerings from this year’s I/O are game-changing. From Gmail upgrades that can help you compose emails to a smart assistant that can make appointments over the phone, there’s a lot to dig into.
Keep your code squeaky clean with DeepCode, a tool that analyzes your GitHub repos with the power of AI. Fix problems, improve flow, and make better code, all with the help of an AI engine.
AI is everywhere these days. But what does it mean for mobile app development? In this article, Naiya Sharma goes over the pros and cons of utilizing artificial intelligence when developing a mobile application.
How can you design artificial intelligence to benefit society? How do you integrate smart systems into business life? Prof. Wolfgang Henseler addressed these questions in his keynote at the ML Conference 2017, “It’s all about machines and creating their minds”.
AI is coming. Adoption of artificial intelligence grew globally in 2017 in a variety of industries. But where is it heading? In this article, Kim Palko and Matthew Farrellee explain where they think this emerging tech is going in 2018.
Are you a mad scientist coding AI in your spare time? Bankrolling backyard AI enthusiasts, the AI Grant is calling for submissions for its latest round of funding! Aimed at the DIY researchers and hobbyists, this no-strings-attached grant comes with hours of cloud credits and a dream to advance artificial intelligence.
Just off a stint at Baidu’s AI Group, Andrew Ng is here to bring artificial intelligence to the masses. Deeplearning.ai and Coursera are teaming up to bring a new sequence of online classes to help you learn to code AI.
What’s the hottest skill a coder should know these days? It turns out, Artificial Intelligence and Machine Learning are so in demand, even freelancers are getting in on the action.
Yahoo is the latest tech giant to create a deep learning system for developing predictive applications such as image or speech recognition. CaffeOnSpark is able to perform ‘deep learning’ on the massive amount of data kept in the company’s Hadoop file system. The new internally-built software is now available on GitHub.