Nepal and China have recently announced the official elevation adjustment for the world&#39;s tallest mountain Everest. Before that, the Chinese government marked the altitude of the mountain as 8,844.43 meters. This figure is nearly 4 meters lower than the survey height of the Nepalese side. <img src="https://spafile.ghmsoft.vn//uploads/43a72149-0f34-483a-a27c-f37de7d2931a/2020/12/15/d2509bcc1d984994802508dbe624d56a.jpg" alt="appendImg"> But in the latest statement confirmed, both sides reached a consensus after Chinese President Xi Jinping&#39;s visit to Kathmandu in 2019. At the time, a mutual agreement between the two sides was signed. . There has been controversy over the actual elevation of the mountain peak when it was feared that it may have retreated after the massive earthquake in 2015. The quake killed 9,000 people, damaged around 1 million structures in Nepal and an avalanche on Everest that killed 19 people. But surely Everest will still be the highest because the second highest peak K2 is only 8,611 meters high. Everest&#39;s height was first determined by a British research group around 1856, which is 8,842 meters. But the most accepted altitude is still 8,848 meters by the Survey of India organization in 1954. In 1999, a group of the National Geographic Association using GPS technology came up with the number 8,850 meters. Then in 2005, another Chinese team measured the mountain at an altitude of 8,844.43 meters without the snow cover on the top. Meanwhile, the surveyed altitude of Nepal is 8,848 meters, including snow and also based on the data of Survey of India published in 1954. It is an organization specializing in mapping and national surveys. of India and under the Ministry of Science. and Indian technology. According to Nepal survey officials, four of the country&#39;s land survey staff fully recorded their findings. While the Chinese side dispatched a survey team in May 2020 and both countries agreed on a single elevation.

China and Nepal agree on the measurement method, confirming Mount Everest is 0.6 meters higher than before.

BitTrain is trusted and officially selected as the Agile Coaching service provider for GHM from October 2019. The main purpose of this program is to transform Agile (Agile Transformation) for all IT Department and other departments within the company to accelerate the digital transformation process and increase employee productivity. Through lessons, practical knowledge, along with experience from the trainer will help students gain more knowledge and practical experience. One of the very common concerns in Scrum preparatory settings is that the indigenous cultural characteristics will not be consistent with the Scrum work culture that values ​​autonomy, teamwork, customer oriented and ready to adapt. Mr. Nguyen Tien Phong shared: “I have been using Agile for a long time, but not really effective, have made many adjustments to suit the team as well as the company&#39;s characteristics. Through many experiences working with different processes, Agile has evolved. With Intelligent Agile is the most suitable method to develop software projects with clear requirements. <img src="https://spafile.ghmsoft.vn//uploads/43a72149-0f34-483a-a27c-f37de7d2931a/2020/11/06/d330ef3920444053b24f57379b35f020.JPG" alt="appendImg">

BitTrain is trusted and officially selected as the Agile Coaching service provider for GHM from October 2019. The main purpose of this program is to transform Agile (Agile Transformation) for all IT Department and other departments within the company to accelerate the digital transformation process and increase employee productivity. Through lessons, practical knowledge, along with experience from the trainer will help students gain more knowledge and practical experience.

Journey to Agile & Scrum

AI stands for Artificial Intelligence, which means artificial intelligence. In detail, AI is a simulation of human intelligence processing by machines, especially computer systems. A basic AI system normally consists of 3 main processes as follows: Learning: learning - this is the process of acquiring information and the rules for using that information. In other words, it is the process of feeding the machine a set of data and basic processing of the area its creator wants. Reasoning: reasoning, inference - this process uses the rules and information loaded from step 1 to solve a particular problem. Depending on the problem, it will output an approximate value (such as making a prediction about a phenomenon, a trend, ...) or making a conclusion based on a correct set of bases (for example detect human face). Self-Correction: self-correction, change - this is the most important process of AI. The first two processes are of the nature of an ordinary machine. Without this self-correction step a system wouldn&#39;t be considered complete AI. In the process of using and operating, the AI ​​system has the task of self-learning in practice and changing what is right in the system. Updating information and correcting laws helps to improve the system, keeping the system&#39;s accuracy. AI DEVELOPMENT HISTORY John McCarthy was the first to establish the term artificial intelligence in the 1950s, AI has evolved over nearly 70 years now and has achieved amazing achievements. In the past when it comes to AI, people often thought it was tied to robots, like Asimo - a very famous robot (humanoid robot) developed by Honda in the 2000s; Actually, it is necessary to understand that AI is the part contained inside the robot. It is the equivalent of a human brain, and a robot is just the outer body. Today, virtual assistant systems are being developed strongly on smart mobile devices as well as smart homes such as Siri (Apple), Google Assistant (Google), Cortana (Microsoft) or Bixby (Samsung), they also are typical representatives of the new generation of AI. In which software and data are AI, what interacts with the user is the voice it is just a user interface (UI) (that&#39;s why people often don&#39;t envision it as AI). AI CLASSIFICATION There are many ways to classify AI, in terms of computing power, AI can be divided into the following three categories: ANI (Artificial Narrow Intelligence) ADVERTISEMENT REPORT THIS AD ANI is AI with weak computing power, focusing on a certain (narrow) field. For example, the AI ​​A lphaGo of Google can beat the world champion in Go. However that is the only thing it can do. And if you ask it to send a text message to your loved one then it won&#39;t work. AGI (Artificial General Intelligence) AGI is AI with strong processing power, human-level AI, can handle any human intellectual task, equivalent to a real human brain. However, for now, there are still people who haven&#39;t built AGI granted by AI. Wisdom is a very general mental capacity, including unlimited reasoning, planning, problem solving, abstract thinking, and quick learning from experience. With the current rate of development of processors (CPUs), the future when people can conquer AGI is not far away. And if you build AGI, it will do all the things you can do (of course, the things you can&#39;t do). ASI (Artificial Superintelligence) ASI is a superintelligent AI that is smarter than all of the world&#39;s most erudite brains in all fields including scientific creativity, common intelligence and social prowess. ASI is the reason that people often talk about the dangers of AI to humans, extinction or immortality are concepts that are often inspired by science fiction movies about artificial intelligence. Why is anyone smarter than a human? Gone are the days when people kept repeating the saying &quot;after all, it&#39;s just a machine&quot;, now the machine you say can understand what you think, your current feelings, and smarter than you ever imagined. The key to the problem lies in the keyword: the Internet. Internet was born in the 1970s, that is after John McCarthy introduced the concept of artificial intelligence about 20 years. But that is the key to the rapid development of AI today. Have you ever been crazy because you can&#39;t explain why a friend sitting next to you always scores so high on exams, no matter how hard you study. So what&#39;s the solution? Copy its own post. It sounds negative, but the same principle of building a smart machine is. When assembled from small plastic, iron, and metal parts and components with circuit boards, your machine is simply a piece of hardware that is no brainer. But when you let it learn, which is actually copying amazing knowledge from the people you think is smart on your machine, it can be smarter than anyone. Why? There are 3 reasons as follows: Learning happens very quickly: If people need 8 hours to recharge by sleeping every day, a robot does not need that much time. Learning from many sources: If a person takes an average of 2 hours to read a book, your AI will probably need less than 2 minutes to eat that book. And of course he didn&#39;t need to go to the bookstore to buy, nor did he need to turn pages to read. The automatic retrieval of books from the Internet to read makes your AI uncle have a huge amount of data that you cannot swallow a small part of in your whole life. Learning without forgetting, just afraid of running out of memory: Actually, up to now, scientists have calculated the capacity of the human brain, it falls into the range of 3-1000 terabytes, a quite large number. However, with forgetting to forget, human learning ability will be very limited compared to these machines that only remember not to forget. Is it possible that the electric shock can affect that artificial brain, but just like a traffic accident. HOW ALPHAGO WINS CHAIRMAN? AlphaGo is a Go computer program developed by Google DeepMind. In October 2015, AlphaGo became the first computer program to beat a professional Go player. Go is considered a highly complex intellectual sport with a total number of moves of approximately 10 ^ 761, compared to chess 10 ^ 120 and the total number of atoms in the entire universe is about 10. ^ 80 !! Therefore, the algorithm must choose an optimal move out of the rows of billions and billions of options. Basically, AlphaGo will be fed data from human-played games that are fed into for training. However, AlphaGo&#39;s ultimate goal It&#39;s not about playing like humans, you have to win against humans. So, after learning the human games, AlphaGo played itself with millions of games to find new, more optimal moves. Thus, with the power of continuous calculation, self-learning from the available knowledge, AlphaGo almost does not allow people to have any chance of winning in the fight with them. One remarkable point in AlphaGo&#39;s match with Lee Sedol (the Korean Go player) is that AlphaGo lost in game 4 before winning 4-1 in the end. The question was whether AlphaGo had lost, or was deliberately losing; We cannot be proud of a human intelligence win, but we should worry gradually about that unexpected loss of AlphaGo&#39;s. If it really knows how to lose, it will be scary !!! EPILOGUE Currently, the whole world is referring to the 4th revolution; terms of AI, Maching Learning, Big Data, and IOT are too popular. The article just dares to give the most general concepts about AI, about a new generation of artificial intelligence that humans are ready to create and face. The goal of the blog is to create a place to learn, share knowledge about AI, find their own directions in billions of billions of the most distant concepts. Right from the name of the blog: Love AI From Zero, we are all horizontal guys who have a passion for learning about AI. Hope to be interested by everyone. Source: Anyway

In computer science, artificial intelligence or AI, sometimes called artificial intelligence, is the intelligence that is expressed mechanically, as opposed to the natural intelligence of humans.

What is AI?

Full-stack developer (FSD) là người có thể là m các công việc liên quan tới databases, servers, systems engineering và client work. Họcó thể là một FSD về di độ (native applications).

What is FullStack?

Difficulty of restaurant owners 2013 marked a milestone of the digital age 4.0. At the same time is also the time when the world officially knows chatbot. The appearance of chatbots has caused all businesses to quickly change their adaptive state to modern technologies to catch up with market development. In Vietnam, restaurants are no exception. According to the studies done, any large, medium or small-sized restaurant is facing more or less obstacles in managing, maximizing revenue, handling customer requests, ... This directly negatively affects the restaurant brand and invisibly causes the brand&#39;s discretion in the eyes of customers.<img src="https://spafile.ghmsoft.vn//uploads/43a72149-0f34-483a-a27c-f37de7d2931a/2020/12/15/4d21daea395d4d99ab21f7481bf37950.png" alt="appendImg"> What is the solution to overcome the difficult situation? To participate in the race to improve sales and increase customers, the way it operates is something that needs to change. Switching new status by applying chatbot technology is a solution that big restaurants have been doing. The main problem restaurants face today comes from the connection with the guests. This difficulty is reflected in the situation where the restaurant has too many guests booking a table. When the number of service staff is not enough to respond to requests from customers. In the case of even dealing with that whole requirement, the inaccuracy is huge. And most importantly, the cost of human resources to handle the problem is not small. Understanding that difficulty, Bizfly Solution provides a Bizfly chatbot solution package that can help restaurant owners automatically book tables and order dishes at low cost. All with just an extremely simple chatbot tool, easy to use. Instead of using the way of communication with the food delivery app, Bizfly&#39;s chatbot allows customers to order food right on the interface. The tool will display all the restaurant menus as well as detailed prices so that customers can freely choose the right dish. A special feature of the Bizfly chatbot solution is to provide full locations of active restaurant facilities and empty table status. This is extremely convenient when customers can actively arrange a suitable time to arrive at the right time. Best of all, Bizfly&#39;s restaurant chatbot also has an integrated online payment feature, connecting with reputable carriers to help customers choose the right form of delivery. In addition, the &quot;gods&quot; can also evaluate the quality of service and dishes right on the chatbot. Since then, the restaurant has made appropriate adjustments to improve service quality. In general, in the context of the digital age with the rapid changes of technology. Adaptation is a must for every restaurant. Restaurant owners need to grasp the digital transformation to improve management, maximize sales and build strong relationships with customers. Along with that, restaurants should also refer to and apply toolsets - powerful and cost-saving support solutions, such as chatbot for Bizfly restaurants. Refer to the powerful solutions and super attractive offers of Bizfly.

Chatbot - Savior in the digital age

When co-founder Steve Jobs returned to Apple in 1997, he drastically slashed product lines to focus company resources on the most popular products under categories like products for &quot;consumers. use &quot;,&quot; for professional users &quot;,&quot; desktop &quot;and&quot; portable &quot;machines. These hardware segments have become the backbone of Jobs&#39; famous product presentations and speeches. His focus on these product lines became famous because it paved the way for the perfect execution and wide acceptance of Apple products.<img src="https://genk.mediacdn.vn/thumb_w/660/2018/6/6/104511450-gettyimages-6926851041910x1000-1528225857003850572789.jpg" alt="WWDC 2018 cho thấy kỷ nguyên phần cứng của Apple sắp chuyển sang phần mềm - Ảnh 1.">When co-founder Steve Jobs returned to Apple in 1997, he drastically slashed product lines to focus company resources on the most popular products under categories like products for &quot;consumers. use &quot;,&quot; for professional users &quot;,&quot; desktop &quot;and&quot; portable &quot;machines. These hardware segments have become the backbone of Jobs&#39; famous product presentations and speeches. His focus on these product lines became famous because it paved the way for the perfect execution and wide acceptance of Apple products. WWDC 2018 shows Apple&#39;s hardware era about to move to software - Photo 1. But by 2018, that focus is no longer on hardware. Apple has a number of &quot;prosumer&quot; products like the MacBook Pro that can bridge the gap between designers and programmers, and other products like the iPad Pro are suitable for both. phone and computer role. This was even more evident during the WWDC 2018 conference that took place yesterday, when here Apple said the company was still focusing on some key areas to run smoothly - but now software newly created main product categories. As can be seen, Apple&#39;s core products seem increasingly built around the following focus areas:- Healthcare and safety.- Private.- Augmented reality.- Education.- Enterprise.- Music.<img src="https://genk.mediacdn.vn/2018/6/6/photo-1-1528137014323623203871-1528225857006256409222.jpg" alt="WWDC 2018 cho thấy kỷ nguyên phần cứng của Apple sắp chuyển sang phần mềm - Ảnh 2.">None of these names are tied to a hardware device. Of course you may still need an Apple Watch for your meditation and yoga routines, but you can also monitor your mental health through Apple&#39;s new smartphone addiction tools and security apps. all over the car. You&#39;re watching Apple music-themed documentaries or science-themed shows on your Apple TV, before switching to streaming music from your HomePod and doing science exercises on your iPad. You are building AR apps on your computer and using them on your phone. This is the crux of Apple&#39;s new strategy: instead of hardware deeply integrated with custom software for each platform, Apple is slowly reworking its core software and services and making sure. that they will work on all their devices.This is especially evident when software director Craig Federighi has bluntly denied rumors of merging the iOS platform with Apple&#39;s MacOS operating system. But then, he stressed, Apple was starting to build a platform so iOS apps could run on Mac with minimal changes, and talked about the News and Stocks apps for the Mac. He added that by 2019, third-party app makers may also have this capability. If Apple can succeed in re-tuning itself around the new content pillars, it could make even more money from every iPhone user through subscription services and apps, rather than just sell expensive hardware. That becomes more and more important as users keep their devices for longer and longer, instead of upgrading them after two or three years. Indeed, the percentage of revenue coming from software and services is increasing at Apple and will likely continue to grow, if the company&#39;s prediction is correct. Larry O’Connor, founder of computer company Other World Computing, said while he was disappointed that there was no additional Mac hardware from Apple this year, it made perfect sense. Although it has been years since some Mac products were upgraded, they continue to receive new features and connect with newer products. &quot;A new computer becomes less important than the capabilities you can add to what you already have.&quot; O’Connor said.Consult CNBC

It also shows that Steve Jobs' era at Apple with hardware pillar is coming to an end, to welcome a new era with software and content pillar.

WWDC 2018 shows that Apple's hardware era is about to turn to software

It is not difficult to understand that fans of the operating system will often find all kinds of reasons to disparage the rival operating system, but for Windows, the criticism of Linux fans targeting the defects of this operating system are all. have a good reason. Especially when it comes from a long-time professional Windows user. Jamie Wilson, a veteran and also an IT employee who worked for one of the largest car manufacturers in the United States, where all jobs are handled on Windows computers. In addition, he himself had to write software for it, so perhaps he understood better than anyone the flaws of this operating system. After years of working on Windows and suffering from these flaws, Wilson eventually gave it up and switched to Linux (Ubuntu). From now on, he has a clearer view of the flaws in the way Windows operates compared to Linux. <img src="https://spafile.ghmsoft.vn//uploads/43a72149-0f34-483a-a27c-f37de7d2931a/2020/12/10/5bd661ec5fc843d18083b1fd6ef62bba.png" alt="appendImg">

But as Windows has become so ubiquitous, these flaws are taken for granted by the majority of general users and accepted to live with it.

Linux fan explained the reason why he could not love Windows even though he tried

According to Reuters, a security vulnerability caused the Department of Finance and the National Telecommunications and Information Administration under the US Department of Commerce to be visited by foreign hackers and stole an unknown amount of data. While the details of the attack are still unknown, the data leak appears to be quite serious as it forced the US National Security Council to hold an ad hoc meeting on Saturday. Many sources of AppleInsider in the US Department of Defense have confirmed this attack. However, they declined to say how much data was stolen and which agencies were affected in the attack. It is known that the National Telecommunications and Information Administration under the US Department of Commerce (NTIA) is in charge of drafting policies related to telecommunications and internet. <img src="https://spafile.ghmsoft.vn//uploads/43a72149-0f34-483a-a27c-f37de7d2931a/2020/12/15/25b1665009194c0b9bb93a628dfedb69.jpg" alt="appendImg"> According to people familiar with the incident, the attack on NTIA was made possible through a vulnerability in Microsoft&#39;s Office 365, when employee emails in the agency had been monitored by the hacker group for months. The attack also included tricks to deceive Microsoft&#39;s authentication protocol, which showed it was performed by a highly skilled team. A senior US official said the email hack may have happened since summer of this year, but has only now been discovered. &quot;This is a group of foreign-sponsored hackers.&quot; One person briefed about the incident, but added that it was still unclear who was responsible. Federal agencies including the FBI have begun investigating the incident. Two other AppleInsider sources said the data theft was linked to another recent attack against popular cybersecurity company FireEye, aimed at stealing hacking tools and exploiting malware. That attack appeared to use tools refined to target FireEye alone. The Cybersecurity and Infrastructure Agency (CISA) says it is &quot;working closely with our agency partners on recently discovered activities on government networks&quot;, said said the spokesman. &quot;CISA is providing technical assistance to affected entities as they work to identify and mitigate any risk of penetration.&quot; Given the severity of the case, it is likely that investigations will take months or even years before detailed information will be released. Check out Apple Insider