Tech emphasis

The concept of intelligence is at once both controversial and complex depending on the levels of its perception. While humans are considered to be the most intelligent being in nature today, computers being a device inverted by humans for easy calculations, in the beginning, researches has been elongated to its own intelligence today. One of the definitions of intelligence complies that it is the ability of the subject to consciously be able to perceive its environment and be able to interact and respond to it rationally which a human can do naturally. Besides rationality on the verse of intelligence comply that doing the right thing, through experience and learning. Intelligence is a special characteristic gifted to the human being and artificial intelligence is a property that human has been trying to put into the computer system from the last fifty years and the journey is still continuing. Research over languages, libraries, algorithms alongside ontology, neural networks, speech pr...

Back in 2011 with the original release of Siri in iPhone 4S, as a virtual assistant, it was praised for its voice recognition and processing, and with that gradual development to date, a lot of breakthroughs have been made out in this field. Today alike Siri, you have Cortana, Alexa or Google assistant, and google translator translating languages to your understandable ones, which have excellent speech recognition engines built behind it. While we are comfortable and enjoy using all of these and criticize them when we find yet to improve issues, what’s behind these huge technologies? All the answer lies over natural language processing and machine learning algorithms. Caption: Virtual Assistants -Siri, Alexa, Google Assistant Source:  Businessinsider In an extremely simple and improvised way to distinguish the natural language processing application from other data processing systems, consider a word counter program, used to count the total number of bytes and words in a text fil...

AI has undoubtedly brought immense changes to different fields especially, 'healthcare', with capabilities to recognize images and categorize data. They have helped to make the patient-doctor equation stronger and medical treatments faster and more affordable. Additionally, Surgeons employ AI to use smaller tools and more accurate incisions. Similarly, Visual nurse assistants may remind patients about the timing of the medication. Despite human assistance, not many of those major advancements have come. AI and humans are a balanced team in providing a diagnosis of health care. Thus, such magical wonders cannot be performed by AI itself.   1 .      Writing computer programs:  AI is not capable of writing apps. In the book 'The Mythical Man-Month', American computer architect 'Frederick Brooks' conveys that given the advances brought by AI, it does not have the human factor of understanding which makes it incapable of writing software. He explains that writing...

With all the breathless hype of transitioning science fiction to a real-world where intelligence has been researched, tested and so far developed so much giving out the technological breakthroughs and the current state-of-art   of deep learning using artificial neural networks, the field of artificial intelligence in the field of the hard-working computer geeks, engineers and researchers. While all the milestones like Deep Blue defeating the world chess champion Garry Kasparov to machines learning to identify cats to self-driving cars hitting the streets and the lavish lists of all the research and development, the major foundation is the soul of algorithms being implemented through the programming languages.   Here’s the rundown of top programming languages for artificial intelligence be it machine learning or deep learning. 1.  Python Python being an open-source programming language boasts the most leverage proven pre-built libraries and community support in the fie...

Artificial Intelligence (AI) aka machine learning is a broad branch of computer science dedicated to developing smart machines that can perform tasks that usually involve human intelligence. Additionally, it is a multi-approach discipline however, the constant development in machine learning and deep learning are causing a paradigm shift in nearly every field of the tech industry possible. If you have tried reading books on AI, you might have found those textbooks define AI as a field of intelligent agents' study. Usually, the topic is often used to describe machines or computers that mimic the mental actions that associate with the human mind, such as learning and problem-solving. Now, the new learners have questions regarding how AI works. The answers are, AI works or automates, through the provided data, repetitive learning, and discovery. However, it is different from robotics automation which is driven by hardware. It does regular, high-volume, computerized tasks consistentl...