Powerful and user-friendly machine learning tool to speedup designing and deploying a neural network in any LabVIEW, LabWindow CVI, C, C++, C#, iOS, and Android applications. ANNHub supports multi-layer feed-forward Neural Network and Bayesian Neural Network. Evidence framework to find an optimal Neural Network structure is also supported in ANNHub.


User-friendly software to process, analyse data, and extract useful information from data set without any coding required. FEHub supports time domain, frequency domain, and joint time-frequency analysis. FEHub also includes Principle Component Analysis (PCA), Independent Component Analysis (ICA) and Wavelet Analysis.


Powerful and user-friendly deep learning tool to speedup designing and deploying a deep learning neural network system in any LabVIEW, LabWindow CVI, C, C++, C#, iOS, and Android applications. DLHub supports Convolution Neural Network and Recurrent Neural Network.

Artificial Intelligence Applications

The AI technology has changed the way we learn, making education more accessible to students with smart online contents. The technology’s impact will exist anywhere from Kindergarten through higher education, offering the opportunity to create adaptive learning features with personalized tools to improve the student experience. The AI technology also help students to pursue their appropriate jobs based on their particular narrative. Thanks to AI technology, an automation of administrative task is also helping organizations reduce the time spent on tedious tasks and increasing the amount of time spent on each individual student. The AI applications also provide smart tutors and personalisation programs and creation of virtual lecturers and learning environment.
Health Care
AI is completely reshaping life sciences, medicine, biomedical engineering, and healthcare as an industry. Innovations in AI are advancing the future of precision medicine and population health management in unbelievable ways. AI applications in healthcare include breast or skin-cancer diagnostics, freezing of gait in Parkinson disease detection, thought control in brain computer interface.
Advertising is another key area that has been transformed by AI technology to increase the relevancy of both publishers and advertisers’ ads and boost the return on investment of their advertising campaigns. The AI applications in advertising area include smart search engines, recommendation engines, programmatic advertising, marketing forecasting, and conversational commerce based on speech/text recognition.
AI is revolutionizing the entertain industry from offering customized recommendations on your Friday night movies to delivering sports match highlights during live TV coverage. The AI applications in entertainment range from augmented reality (AR) to emotion analysis to bring human interaction with entertainment contents to the next level. The AI technology also helps to improve movie quality and viewer experience.
Automation is one of key components that revolutionizes industry sectors. Thanks to recent advancements in industrial technology, including more affordable sensors and automated process of data acquisition, more powerful computers to perform more complex tasks with faster speed, faster connectivity infrastructure, and more accessible cloud services from data management, AI technology offers huge advantages over traditional automation. By accelerating the development of new products, AI also helps to increase innovation, eliminate redundant costs and generate new revenue streams to increase profitability.
Self-Driving Cars
AI technology has been used in companies like Google and Teslta to manufacture a self-driving car. Information from sensory systems, including lasers and cameras, are collected and teach a car learn how to avoid obstacles safely.
Image Recognition
AI technology has created a new standard for image recognition applications. It aims to recognize and identify people and objects in images as well as to understand the content and context. Thanks to recent deep learning technology, the accuracy rate in image recognition applications has reached its highest level with stable prediction results. Image recognition has been used widely in several sectors like gaming, social media, retail, tourism.
Wearable Technology
The market for wearable technology is increasing steadily with around 115 million wearables were shipped in 2017 (30% increment compared to 2016). AI Technology has brought wearables to the next level in providing smart assistants in wellness and sports, including virtual coaching, performance analytics, personal assistants, to keep users motivated and improve performance while decreasing their likelihood of injuries. Connected wearables with AI-enabled technology are also likely to increase left expectancy and improve quality of life based on analytics of collected data. AI technology also helps to improve security. Smart trackers for children monitoring that uses machine learning to analyse daily routes and routines of the kids from map tracking is excellent example.
Voice-Activated Assistants
Voice-activated intelligent assistant is one of the key applications that demonstrates AI’s advantage. With the big tech giants have already made significant investments in this area, voice-activated assistants can be found on nearly every smartphone such as Apple’s Siri, Google Assistant, and Microsoft Cortana.

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