Artificial Intelligence

  /  Artificial Intelligence & ML   /  Artificial Intelligence

ChatGPT, the dialogue-based AI chatbot capable of understanding natural human language, has become another icon in the disruptor ecosystem. Gaining over 1 million registered users in just 5 days, it has become the fastest growing tech platform ever. ChatGPT generates impressively

Artificial intelligence (AI) is among the drivers of innovation in every industry, and it’s also a key player in reducing businesses’ carbon emissions. For instance, AI technology has significantly helped cut the carbon footprint of the energy industry through efficiency

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

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

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