AI & Machine Learning

Ready to learn Machine Learning? Browse courses like Robotics Application Machine Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. It is reasonable to fear artificial intelligence. Dystopian films such as “Terminator” and “The Matrix” show what could happen if AI turns against us. Less drastic anxieties concern self-driving cars making life-and-death decisions on

Ready to learn Machine Learning? Browse courses like Machine Learning Foundations: Supervised Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Have you watched the movie, Minority report, where Tom Cruise saves lives by detecting crimes beforehand? In this post, you will know how to proactively save your customers from churning by detecting it beforehand.

Ready to learn Machine Learning? Browse courses like Robotics Application Machine Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. The concept of Artificial Intelligence (AI) – especially in the form of humanoid robots – is by no means a new phenomenon, with intelligent machines appearing on our screens as early as 1984. Modern

The hype around artificial emotional intelligence is real. By integrating emotional intelligence with the existing artificial intelligence, AI is taking a crucial turn on its journey to becoming a transformational technology. Companies that will able to effectively incorporate contextual understanding and empathy into their technologies will become the front-runners in this race to technological excellence.

Where deep neural network and machine learning is headed in the larger field of artificial intelligence, and how we can get more and more sophisticated machines that can help us in our daily routines. Please note that these are not predictions of forecasts, but more a detailed analysis of the trajectory of the fields, the trends and the technical needs we have to achieve useful artificial intelligence.

Ready to learn Machine Learning? Browse courses like Robotics Application Machine Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Six reasons why enterprises should adopt business process automation tools and everything you need to know about them. When it comes to robots and our future as human beings, there are two different directions

Tackling global healthcare crises is no small feat: to enact real progress the healthcare industry, as a whole, must find ways to challenge outdated treatments and champion innovative solutions designed meet the most pressing health challenges of our time head on.

The general idea is fairly simple: make a system learn about its behavior by training a model on its context. Then allow it to change its structures and configurations in order to optimize for a certain scenario. Now implement this idea in such a way that it could be possible to integrate it into many kinds of systems.

As the technology progresses at a rapid pace, it is a critical time for governments and policymakers to think about how we can safeguard the effects of Artificial Intelligence on a social, economic and political scale. Artificial Intelligence is not inherently good or bad, but the way we use it could well be one or the other.

AI has the potential to create more jobs than it kills. In 10 years, most cognitive workers will be working in creative collaboration with intelligent machines. New industries yet unborn will almost certainly rely on the complementary strengths of artificial and human intelligence. 

Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve. When this unique technology powers Artificial Intelligence (AI) applications, the combination can be powerful. We can soon expect to see smart robots around us doing all our jobs – much quicker, much more accurately, and even improving themselves at every step.