Every month, we witness a significant number of startups coming into the picture with the latest in AI innovations and applications that have the power to transform the world. If you are pursuing AI Courses in 2020, here are the biggest topics in Artificial intelligence and machine learning you must know about.
AI IPs for the Internet of Things
Integrated Processors are the most promising market to apply AI courses and analytics. The combined market for IoT, Connected Devices, Smart camera, and cyber-physical systems (CPS) make the new-age engineering around computing and analytics so enriching.
AI-enabled chips and embedded AI Chips are widely understood to be the next era of Computing and IT infrastructure management, especially when the enterprise solutions are moving to an App-based economy run on Cloud and Mobile. AI topics never go out of trends.
AutoML
AutoML is the shortened version of Automated Machine Learning models which is now the core development and research field in Cloud and IT re-engineering domains. Big IT and SaaS companies are leveraging AI topics to reframe their Cloud migration products. IBM Red Hat, Microsoft Azure, Amazon Web Services, and Google Cloud Platform are extensively focused on training Machine Learning models on an automated rail.
Automated ML achieves a faster state of seamless cloud deployment and migration, with real-time crisis management and cyber threat recognition using a neural architecture based on Search and RPA mechanisms.
Time Series Artificial Intelligence
The concept of Time Series modeling is based on the scientific approach of using historical data and observations to accurately predict future outcomes using various forecasting techniques. With an improvement in Big Data mining and analytics, Time Series intelligence has vastly improved in the last 5 years.
The biggest example is the way IBM Watson AI uses Time Series AI to predict and forecast events in the future using billions of data points from various sources. Weather forecasting companies like AccuWeather and sports event betting companies also use Time Forecasting AI to predict outcomes in a rather accurate manner.
Popular AI Topics that you could learn in Time Series Modeling are Fuzzy Logic, Gaussian Processes, Hidden Markov, and Vectors. You could deep dive into ARIMA as well, especially if you are practicing Python coding for building AI ML tools.
Simulation Systems/ Graphical Programming
Simulation has been a hot topic since the very early days of rapid prototyping in industrial manufacturing and aeronautics engineering. Rapid prototyping, in particular, when combined with AI capabilities help in automating processes based on the scientific modeling of any operation which can run on Auto-pilot or human-free mode. 4
Top simulation software suites such as MATLAB Simul8 and AnyLogic have been creating some of the best graphical programming languages to control and mitigate complex challenges across environments.
If you are fixated at building a virtual simulation system, replicating a real physical network of hardware, software, and variables, this is the best time to choose AI courses and topics related to simulation techniques. A lot is happening now.
