Artificial Intelligence & ML

  /  Artificial Intelligence & ML

Artificial intelligence does not have an unambiguously accepted definition. This is because AI is not a stand-alone technology but a combination of different technologies that, properly orchestrated with each other, allow machines to act, almost, autonomously. Unlike automation, AI doesn't

What is Ensemble Modeling? Ensemble Modeling is a technique used to improve the results of Machine Learning projects. This Ensemble Modeling technique allows to obtain a better predictive performance compared to the models from which it is made up, thanks to

Machine Learning is a subset of artificial intelligence (AI) that deals with creating systems that learn or improve performance based on the data they use: it has unprecedented computational capacity, but on its own it cannot be perfect. It always requires

Logistics is difficult because it is hard to keep track of everything. Although most logistics and transportation service providers use mobile technology, changes in regulatory environments, rising labor costs, increased traffic, and volatile fuel prices can impact operations. Companies are

Artificial Intelligence and Cognitive Computing are often used as interchangeable terms, and as much as both refer to machines with human-like capabilities, there are some big and important differences. AI, some basic notes AI is talked about abundantly, and equally abundant are

Electricity is fundamental to our society. As climate change becomes more severe and demand for clean energy increases, the future is the electrification of everything and along with it, the need for reliable energy. The U.S. infrastructure spans over a

We live in a world of increasingly smart and interconnected devices. From power grids to industrial control systems and vehicle fleets, IIoT devices are proliferating. Recent estimates project that there will be well over 24 billion IoT devices within the

Few areas in computer science have, over the years, repeatedly created as much interest, promise, and disappointment, as the field of artificial intelligence. The manufacturing industry, now the latest target application area of “AI”, puts much hype on AI for

The new challenge is to have a deeper knowledge of how and why artificial intelligence generates its results, restoring the necessary centrality of decision-making processes to man. With the recent developments, in recent years, in the development of systems with artificial