Machine Learning

Software development (but also the development of Machine Learning and AI) is combat against chaos and complexity. It is bad enough when software becomes chaotic and does unexpected things, but it is even worse, when software becomes too complex to be fixed.

The amount of software systems that are using artificial intelligence (AI) and in particular machine learning (ML) is increasing. AI algorithms outperform people in more and more areas, causing risk avoidance and reducing costs. Despite the many successful AI applications, AI is not yet flawless.

Last year, Sunil Kumar, Senior Consultant, and myself, from the HiTech Solutions team, DEMS-India, were invited to deliver a session on “Intelligent RPA using Machine Learning” at the Robotic Process Automation (RPA) Conference held in Mumbai.

In this research, we propose to replace the traditional methods of vehicle damage inspection (for car insurance) with a Machine Learning based automated solution.

As AI expands into areas with major impacts on humans, like medical diagnosis, the military, recruitment decisions and policing, it becomes increasingly vital for AI to ‘explain’ why it has reached a particular decision.

The benefits of the wider use of Artificial Intelligence (AI) are clear to the businesses that are rushing to make…

Today we look at a mothership concept for IoT solutions that is not another gateway concept. Inspired by the book "Wired for War" by P.W. Singer (interesting read on robotics, drones and everything related) the mothership concept challenges our IoT architecture with less gateways.

After the holiday season it is time for the new season of #IoTFriday. We present our new topics that are…

Can we manage devices remotely using voice & gestures or can we communicate with machines like we do with humans?…

How about having a digital assistant who gives you personalized & relevant financial information at your command. #VUI is here…

Machine learning is beginning to change our world. More and more industries are integrating machine learning into processes specific to…

Can a surveillance system identify and detect suspicious objects, activities or humans automatically and take immediate action on it without…