Advances in artificial intelligence (AI) and machine learning (ML), from production to delivery, have enabled manufacturers, retailers and broadcasters to develop and implement smarter tools and applications to boost the entire product and content lifecycle and changing and supporting our behavior. Many companies are developing AI and ML systems to give computers the ability to perform tasks such as visual perception, speech recognition and language translation. If a computer could perform these tasks as proficiently as a human, it would open up entirely new markets for many businesses. There are many companies developing these technologies to give computers the ability to perform tasks such as visual perception, speech recognition and language translation. Today we get algorithms that are learning from getting information that is upload by humans or gather by itself from the internet and the algorithm starts to play different scenarios to learn possible outcomes and improve probabilities of decisions. From helping blind people, self driving cars to healthcare.
To start I will like you to watch the video from Microsoft that will revolutionize and help many people and industries in different tasks. I am sure that this video will open up a lot of new ideas of what is possible.
Now that you have seen this video, you have a sense of how visually impaired people will have the ability to understand what is around them, to read their environment and to become a little more independent. Imagine now when the technology is fast enough to be all the time telling them everything that is happening or anticipating something for them. Now, in terms of industries that could be benefited our of this technology, imagine face recognition and security companies, validation of Identity cards (we might not require anymore IDs), financial industries that no longer require cards but just your face. Moreover, Facebook is using a technology like this to be able to read a picture and describe it to a blind person.
Google is one of the companies that is investing in the technology. AlphaGo was develop by Deepmind and is a the GO game board that learned from itself and no can outplay any human in the world, it might sound like something already achieved with chess. However, chess possible moves are 10ˆ40, the number of atoms in the visible universe is 10ˆ80 and the number of moves in GO is 2.08X10ˆ170. There is no computer fast enough to do all the calculations in a game, therefore the DeepMind team created an AI algorithm to allow the machine to learn from all the games possible and them play itself to improve and beat the best players of GO in the world.
Another company is Nvidia, which was well known in the past as mastering and leading
production of graphics processing units. GPUs were previously mainly of interest to gamers for obvious reasons, but in the past couple of years, Nvidia has been doing a lot of business in the cryptocurrency sector and the automobile industry for self driving cars. Therefore, another company that is getting into many sectors with a technology that might change the way that industries currently compete. Now imagine the CPUs in virtual reality and healthcare.
There are many other such as Amazon, that is using the technology to provide a dynamic website all the way to translating calls to evaluate customers sentiment in real time. Personal assistance are strongly competing for being in your house and for that we have Amazon Alexa, Apple Siri, Google assistance, among other.
The company that probably is more related to AI is IBM Watson. Today, there are many companies using Watson as a AI tool to support their process and improve response and efficiencies. From industries such as energy, insurance, design companies, wine companies for irrigation systems, airlines, movies, healthcare to mention some. Take a look at the first movie trailer developed by AI entirely and for a AI horror movie. This video explain the process and how Watson analyzing the scenes of the movie determined the exciting moments and created the trailer.
The way it works is by using sources of information that include encyclopedias, dictionaries, thesauri, newswire articles, and literary works. Watson also used databases, taxonomies, and ontologies. Specifically, DBPedia, WordNet, and Yago are used. The IBM team provided Watson with millions of documents, including dictionaries, encyclopedias, and other reference material that it could use to build its knowledge. On the healthcare industry, It is said that IBM Watson will be carrying the knowledge-base of 1000 cancer specialists which will bring a revolution in the field. IBM is regarded as a disruptive innovation. However the stream of oncology is still in its nascent stage. Currently, based from Watson database knowledge, It can now predict with 90% of confidence if a patient has certain type of cancer while the tumor board doctors were much slower than Watson at making a recommendation. In fact, this tool as support to doctors can speed and help them a lot, at least today, when it learns fully and becomes autonomous we might be able to go to Watson directly.
AI and ML are here and the deep learning is fast to start changing the way humans see the world. However, we as humans are not as fast to adapt or adopt these technologies and we might be obsolete very fast, in our interactions, our jobs or even our society.
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