Technology trends in Artificial Intelligence and Machine Learning

Technology trends in Artificial Intelligence and Machine Learning

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Hello everyone! Here we come with an exciting and brand new video,In which we will talk about Technology trends in Artificial Intelligence and Machine Learning. First of all be sure to subscribe our youtube channel for more informatic videos.In general, the core of artificial intelligence is the use of computers and other technologies to solve problems and make decisions in a fashion that closely resembles the skills of the human mind. A computer scientist at Stanford University named John McCarthy offers a more precise meaning of the phrase:

Making intelligent devices, particularly intelligent computer programs is a scientific and engineering endeavor. Although it is related to the related job of utilizing computers to comprehend human intellect, AI should not be limited to techniques that can be observed by biological means. AI and computer science have given rise to a popular technique known as machine learning, or ML. Machine learning, as opposed to AI in general, focuses more explicitly on using data and algorithms to simulate human learning and gradually increase accuracy.
Models for Natural Language Processing;
NLP is a processing method that makes use of AI and ML to help computers comprehend spoken and written language similarly to humans. Machine learning, deep learning, and statistical learning models are used in NLP models to describe the rule-based modeling of human language. Therefore, computers can process human language in written or audio form and comprehend both the meaning of the phrase as well as the speaker's or writer's intent and sentiment.

mHealth Apps;
A subset of telehealth, or technologies and methodologies for remote care, including Remote Patient Monitoring (RPM), which makes use of mobile technology to advance health goals, is mHealth apps. Consumer applications for mobile devices, which frequently do not include actual clinicians, are the main source of power for mHealth, a field of technology that has risen significantly.

Technology trends within the Internet of Things (IoT);
The term "Internet of Things," or "IoT," refers to the trending technology that connects any object or device to the Internet or other connected devices utilizing various microsensors and processors. IoT is an enormous network of interconnected objects, all of which gather data that may later be shared. These details may relate to the setting in which these gadgets are used or to their usage patterns.
Digital Twin;
One of the newest technological trends is called a "digital twin," which makes extensive use of IoT networks and devices to collect data for analyzing and anticipating a physical asset's performance characteristics and informing on the adjustments that need to be made to improve it. By realistically simulating a process, product, or service, digital twin frameworks help to bridge the physical and digital worlds. As a result, it examines items that have a variety of sensors that generate information about many facets of their performance, including status, position, energy output, working circumstances, and more.
The Smart Grid;
Electrical networks that have operational and energy efficiency measures incorporated are referred to as smart grids. They rely on the Internet of Things (IoT) network and IoT-capable gadgets like smart distribution boards, circuit breakers, and improved metering infrastructure. Additionally, they serve as energy supplies that are renewable and efficient, capable of charging batteries (for EVs and power storage) and provide a reliable broadband connection with wireless access as a backup.
Big data patterns;
Big data is a broad word that generally refers to data that embodies the three Vs of big data: greater variety, larger volume, and greater velocity. Larger and more sophisticated data sets are made available by big data trends, especially when using new data sources. Big Data is the foundation of numerous emerging technologies that or rate at which the data is received, analyzed, and acted upon.
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