What Are the Current Technologies of Machine Learning?

Many of the world’s most popular technologies incorporate machine learning capabilities, including facial and speech recognition. According to a recent market research report, the total business for machine learning technologies will reach $156.5 billion by 2020, an increase of 12 percent from the previous year. This is impressive, especially considering the drag of the Covid pandemic. But how will machine learning impact business? This article will give you an overview of the technology and its application in various industries.

Microsoft’s Cognitive Toolkit, previously known as CNTK, is an AI solution with highly optimized components. It can handle data from C++, Python, and BrainScript and ensures efficient resource usage. It also integrates with Azure and NumPy, two popular Python libraries. Caffe, another open source machine learning framework, is written in C++ and has a Python interface. This is the foundation for deep learning.

Another important use for ML is in environmental applications. The Green Horizons project by IBM’s China Research Lab aims to reduce pollution by using an IoT network to collect data from various sources. ML algorithms analyze this data and recommend the best ways to lower pollution. The development of self-driving cars also uses ML technologies. Autonomous cars require high accuracy and the ability to communicate with their various parts in milliseconds.

Machine Learning is already widely used in IoT software. Its integration with the Internet of Things (IoT) will improve data management and provide added value to many applications. And while it may still be a bit further away, machine learning applications are already widespread. They are becoming more integrated with IoT, a trend that will continue to grow. With its rapid advancement, AI will continue to transform every industry.

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