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Emerging of AI & What we offer
A few decades ago, we didn’t even imagine that machines can generate human-like responses. We always had a question that “Can machines think?”. Articial Intelligence (AI) has been part of computing since the 1950s. However, since 2000, AI systems have only been able to perform useful functions such as image classification or spoken language interpretation. Machine Learning has only recently grown to a stage where critical AI calculations on smartphones and tablets are feasible. Artificial intelligence and machine learning are today used in different areas as being a part of the working life of major organizations. AI is a ground-breaking technology intended to transform the way people work and manage enterprises with computers, due to the fast speed of AI growth – achievement on unmanned aerial vehicles and human beating in chess and poker, digital customer support, and analytical systems.
The emergence of smart computers that can solve complex challenges, in such a manner that only humans have been ignorant. AI technology has developed and improved since the day it was invented. AI is commonly used in many areas because of its learning capacity. Particular AI implementations include expert systems, voice recognition, deep learning, machine vision, auto code generations (SQL, react native .. etc). The fast acceptance of AI is motivated by two key factors. Firstly, there is access to quality, adaptable styles of learning. The second is that vast volume of data needs to be managed cheaper and more effectively, rather than massively expenditure in huge networks. We are expertise in all of these areas, especially in deep learning and neural networks.
Services we offer in AI
AI is a broad term that represents advanced intelligence in computing. From chess to speech recognition assistants such as Apple’s Siri and Amazon’s Alexa, AI can include anything.
Machine Learning is a subset of AI. Machine Learning is primarily based on data reception and learning from computers. Today, ML tools are for companies the most sought-after AI tools. In order to excellently identify face and voice, object recognition, translation, chatbots, etc, machine learning systems are able to use information gained by training from large sets of data. Although a hand-coded program needs those instructions to execute a task, ML may identify patterns alone in order to anticipate the next step.
ML is the computer’s ability to understand and work without specific scripting. To enable this self-learning function, Machine Learning uses the below techniques:
- Supervised learning
- Unsupervised learning
- Semi-supervised learning
- Reinforcement learning