https:\/\/drive.google.com\/file\/d\/1AhVDvTKGMaYKLSQe6LMVdPYyqTz0uavB\/view?usp=sharing<\/a><\/p>\n\n\n\nProbably many of you have been heard that artificial intelligence has been used in the board game. Not long ago the IBM Big Blue beating the best chess player in the world. Chess is rather simple board game as compaire with another board game called Go. And in 2016, the Google DeepMind AlphaGo won over a human grandmaster in Go, which is very complex board game, with a lot of moves. Since then you can see that there are many many possibilities that you can use artificial intelligence in several kind of board games. And by doing that, this software can predict and analyse al the moves and find the way to win again.<\/p>\n\n\n\n
Last look at other implementation of artificial intelligence, especialy in an area that I am very familiar with: Artificial intelligence in aerospace. Aerospace is a data intensive industry that not many people know about it. When we are talking about data intensive, you think about Google, think about facebook, some people think about healthcare. But one area that very few people know is aerospace. And aerospace is basically a data intensive industry.<\/p>\n\n\n\n
Let’s look at the data in aerospace industry. Facebook accumulates 800 Terabytes per day. But let’s look at the Boeing 787, that has thousands sensors, that can generate about 1 terabytes of data per hour. So a fleet of one hundred 787 flying about 16 hours a day, can create about 1600 Terabytes per day. And there are about thee to four hundred 787 in operation today, the thoudand more are on order. So within a few years, you have a huge number of data in one airplane alone, one type of airplane alone. And these are things that we have massive number of data that the company can collect.<\/p>\n\n\n\n
Data is not new in the aerospace industry. Every airplane has sensors, they mean we can collect data on aircrafts or altitudes or speeds or stability during the flight all for a long time. The aerospace industry has been collecting data, so we can improve aircraft’s performance, raising safety standards for years. And a fleet of multiple airplane types from 737, 747,767 and 787 can generate exabytes and zettabytes in all time.<\/p>\n\n\n\n
With these amount of huge data, it is a tremendous opportunity to use artificial intelligence to apply in this industry. By collecting the airplane’s performance data on the aircraft, every aerospace company can use artificial intelligence to improve, to adjust a way the airplane are flown, to deal with potential maintenance issues before they end up grounding airplanes for repairs. Airplanes go into repairs periodicly. But of course things broke down unexpectedly. So by using the maintenance records, collecting the data, using artificial intellegence we can predict certain parts of the airplane may need to be replaced before it breaks down. Therefore we can prevent the grounding of the airplane.<\/p>\n\n\n\n
Airlines make money when airplanes fly. They don’t make money when airplanes cannot fly. Therefore it is the tremendous savings and tremendous cost savings for the airlines and for the aerospace companies. By using artificial intelligence machines, we can also collecting data in the factories. In the maintenance data we can predict certain parts should be replaced and we can correlate those parts with airplane maintenance. So when the time for periodic maintenance, we can predict certain parts that is possibility maybe broken down within certain number of hours. So therefore we can predict them and replacing them during the normal annual maintenance or must-be maintenance of the airplanes, to prevent the parts break down unexpectly. Basically having the right parts at the right place at the right time and save tremendous amount of money.<\/p>\n\n\n\n
Today every airplanes engines have a lot of sensors, that collect the data on the engine’s performance. We can use artificial inteligence software to the fine tune thrusts and the fuel consumption of the airplanes to reducing noise and emissions and also improve fuel efficiency. It has been demonstrated in some airlines and I think that it will be possible to use in all of airplanes fly today to bacically improve fuel consumtion of certain engines.<\/p>\n\n\n\n
Basically aerospace companies can using artificial intelligence to increase the accuracy, the quality and yield of manufacturing by streamline the workflow. We can collect the data when the airplane go to assembly line, we can see where are the issues, where are the problems that frequently occurs. We know where the bottle-neck is and we can fix that. Basically we can make assembly lines rolling out much more smoother if we have all the data collected and analysed.<\/p>\n\n\n\n
By measure all these data we can also help traceability of certain sensors to giving visibility of the daily operation of the fleet. And also by using certain artificial intelligence software we can improve the quality of the production from the airplane down to machine level and correlate that with the financial performance of the company. So that a huge amount of data that already exists, that we can use. And if we know how to analyse and do that correctly that is a huge potential to improve financial performance of a company.<\/p>\n\n\n\n
And also by having all of those, machine learning and data collecting, we can predict certain things within the airplane operation and increase the quality of airplanes, predicting better performance over time. So that is a huge potential to use artificial intelligence in this industry.<\/p>\n\n\n\n
Also for the airlines industry’s point of view, AI can also be used to reduce the down time of the aircrafs. That means the airplane can continue to fly as a service to the passengers and making more revenues to the airlines. We can also use AI to improve operation data, make better accuracy on predicting the arival and departure time, based on the weather conditions, based on certain performance of certain ariplanes, and then we can optimize the fleet management and crew assignments for certain airlines.<\/p>\n\n\n\n
Today many of these activities are still used a very archaic like spreedsheet and some experiences of the people who schedule that. I think that it can be improved significantly by using AI activities and a strong machine learning, software. We can also using AI to identify and predict certain passenger-flight patterns, destinations, booking and cancellation to improve customers’ satisfactions and increase loyalty to the company. So that is a huge potential that we can use AI in the airlines industry.<\/p>\n\n\n\n
AI and also be used in the biotech and healthcare significantly in the past few years. AI tools have been used for genomics analysis and gen sequencing in many hospitals and research institutions with extremely accuracy. To match any personal to a basically a lot of personalized medicines that we can use a lot about the data to identify and matching certain patients with certain treatments. In the past certain treatments were standadized. Everybody has this kind of disease follows this procedure. But with AI and with also genomic sequences we can identify certain amount of patients who can be more successful with such treatment than the others. So those things are being used today mostly still in research phase in hospital but I think in the next few years it would be exploded, using gen sequence associated with person life medicine.<\/p>\n\n\n\n
We can also use AI software for mobile coaching to improve the ability for the doctors to advise patients and using real-time data and tell medicines is very popular today, especially in third world countries. But it is still direct between a doctor and a patient. But with the help of AI we can significantly increase the performance and much better outcome if we’re using such tools that can predict certain treatment for a particular patient. AI can also be used to expedite the very expensive and time consuming of drug discovery. Instead set up using animal in the lab, we can simulate reactions of such cell-pattern with such drug treatment and identify the best pathway for the drug interact with the body using certain AI algorithm.<\/p>\n\n\n\n
There are a lot of usage of AI you probably heard about the new one that coming out some week ago about Google’s Talk to Book. Many of you like to read books. There are a lot of books but sometime you read something and you forget about it. Now you can ask Google to find such quote, certain thing from certain book by just Talk to Book. Basically these are number of queries you can have by asking “I was reading that Book and I am looking for such phases such sentence such quotation.” Google can be able to find it for you. So these are the new tools that is available, it is also AI tools.<\/p>\n","protected":false},"excerpt":{"rendered":"
Tr\u00edch ra t\u1eeb video c\u1ee7a Gs. John Vu (25:57-38:05) t\u1ea1i https:\/\/drive.google.com\/file\/d\/1AhVDvTKGMaYKLSQe6LMVdPYyqTz0uavB\/view?usp=sharing C\u00f3 l\u1ebd nhi\u1ec1u ng\u01b0\u1eddi trong c\u00e1c b\u1ea1n \u0111\u00e3 t\u1eebng nghe n\u00f3i r\u1eb1ng tr\u00ed tu\u1ec7 … <\/p>\n","protected":false},"author":2,"featured_media":6500,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48],"tags":[],"class_list":["post-6499","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/6499","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6499"}],"version-history":[{"count":2,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/6499\/revisions"}],"predecessor-version":[{"id":6611,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/6499\/revisions\/6611"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/media\/6500"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6499"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6499"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6499"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}