Okay, that is an overstatement meant to capture your attention and set the course of the information we want to share with you about Machine Learning.
Machine Learning is the advancement of computer science into pattern recognition and computational learning theory of artificial intelligence. By studying the patterns and building an algorithm, a machine can make decisions more closely related to a human. This is why some fear this technology and others find it exciting and groundbreaking.
Mica Specialties embraces the study and challenges that Machine Learning brings. We have always welcomed new advancement in technology wide-eyed and awe-struck. We live and breath technology and have a thirst for it. We do not fear it as many other do since we see it as a natural progression of computer science. And we have followed the future of technology since the late 1970's and know that Machine Learning has been with us for some time now, just in different forms.
Search Engines are powered by Machine Learning.
Optical Character Recognition (OCR) is made possible by Machine Learning.
Email Spam Filters utilize Machine Learning.
All of these applications are patterns of positive uses of Machine Learning that benefits humans today. So the next big question for us is if this pattern holds true for tomorrow!
Please Contact Us to share your thoughts or resources, or if we can help with any technology based needs.
At Mica Specialties, we love technology. We are dedicated to the quest of discovering the future of technology and feel Cognitive Computing Technology is about to be upon us all with a great force. We see the patterns (not to the precise ability of Machine Learning) and know this is not a trend but an absolute growth of yesterday's technology.
Cognitive Computing utilizes Technology better than we humans could on our own. It is the action of man & machine advancing together as a team by applying technology to work smarter. By allowing a computer to handle complex problems, it can address the complex situation and make the context computable and make massive amounts of data relatable for humans to understand more easily and much faster.
Even with this super advancement, legacy computing systems will not be fazed out for a very long time. Instead, Cognitive Computing and Legacy Systems will enhance each other's abilities for the betterment of human needs. It is a great step forward for us and something we feel will be an exciting journey to be a part of.
Microsoft Cortana - Cortana very literally thinks like a
person, but she does it at a tremendously faster speed.
Facebook AI Research (FAIR) - Facebook Artificial Intelligence Researchers (FAIR) seek to understand and develop systems with human level intelligence by advancing the longer-term academic problems surrounding AI.
Apple Siri - You can ask Siri to show you the Orion constellation or to flip a coin.
IBM Watson - Uses natural language processing and machine learning to reveal insights from large amounts of unstructured data.
Amazon’s Alexa Voice Service - Alexa skills include the ability to answer general knowledge questions, provide weather forecasts, query Wikipedia and much more.
Google Now /
Deepmind - We combine the best techniques from machine
learning and systems neuroscience to build powerful
general‑purpose learning algorithms.
Microsoft Artificial Intelligence - By building software that automatically learns from data, we design applications that have new functions and flexibility.
Association for the Advancement of Artificial Intelligence (AAAI) - Founded in 1979, the Association for the Advancement of Artificial Intelligence (AAAI) (formerly the American Association for Artificial Intelligence) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI aims to promote research in, and responsible use of, artificial intelligence. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.