Although machine learning is seen as a monolith, this cutting-edge technology is diversified, with various sub-types including machine learning, deep learning, and the state-of-the-art technology of deep reinforcement learning.
Software that understands muscle-controlled limb movement would be able to translate neural signals into instructions for automated arms or legs.
From countering an invasion of aliens to demolishing a wall with a ball – AI outperforms humans after just 20 minutes of training.
Currently, the world is producing 16.3 zettabytes of data a year. According to IDC, by 2025 that amount will rise tenfold, to 163 zettabytes a year. But how big, exactly, is a zetta?
According to IDC analysis, 16,3 zettabytes of data were created worldwide in 2017. Such volume shows why keeping an eye on big data business trends is so crucial.
Harnessing the power of AI’s image recognition and deep learning may significantly reduce the cost of visual quality control.
CodiLime ranks 49th on the FT 1000: the complete list of Europe’s 1000 fastest growing companies. The company outperformed more than 950 companies from throughout the continent.
Monitoring brand visibility is an important business problem. We describe our solution for logo detection and visibility analytics with deep learning.
While modern manufacturing technology is starting to incorporate machine learning throughout the production process, predictive algorithms are being used to plan machine maintenance adaptively rather than on a fixed schedule. And these are only the tip of the iceberg.
