“The World is a small place”. You may have heard this phrase many times in many places. But is it true? The world or “earth” in a more planetary aspect, may smaller than Saturn or Andromeda Galaxy, but still, it’s not that small. It’s a large civilization of 7 billion inhabitants. One pillar that holding the stability and sustainability of this community is communication. So how we communicate? The answer to that simple question is “using languages”. The linguistic research estimates that there are 5000 to 7000 languages in this world. But how many languages do you know? Then translators become handier in communication between people.
Today Facebook is a social networking service with 2 billion monthly active users. To enhance the networking and communication capabilities of the platform, Facebook comes with a new translation engine fueled with artificial intelligence. This time Facebook does not amaze us with AI capabilities that can create own language, but they try to assist with our human languages.
Facebook performs about 4.5 billion translations daily. The new system expected to do these translations with higher accuracy. The old system used simpler phrase-based machine translation models. The phrase-based system translated sentences word by word and usually made meaningless phrases. But in the neural network, it considers the whole sentence once. For that, Facebook uses machine learning functionality called long short-term memory network.
This system is capable of learning things by analyzing enormous amounts of data. The Facebook engineers say that their technique is nine times more efficient than other neural network-based methods. Christopher Manning, a professor at Stanford University said that using the Facebook’s neural system “You can have parallel computation on different parts of a sentence, You don’t have to push things along word by word.”
One more interesting thing is, Facebook achieved to perform translations with their new system by using lesser computing power. This means it can do more with its available data center hardware and other resources. Sometimes this can be a small advantage, but in some scenarios, it can become a huge leap over other translation systems.
The Facebook’s Applied Machine Learning team is planning to make the software engine open-source. So you and I also can contribute to the system in the near future. This is one step ahead towards the initiative of internet’s biggest companies, to freely share their AI research. We can forecast that translation will evolve far more quickly across the Internet, with the help of other tech giants like Google, Microsoft, and Baidu, not only Facebook.
How many of you cannot get through a day without a little bit of sweetness?
I presume ALL of you needs at least a tiny percentage of sugar flowing through your blood to get through a day of hard work, maybe at your job, maybe with your studies. Irrespective of age and gender, we all love sweets. Sweetness adds some perfection to the day, no doubt. But what is dangerous about it is, we do not know when we will be diagnosed with diabetes with the amount of glucose we consume.
Around four years back, young children and youth did not have the fear of being diagnosed with diabetes. But, as of now, diabetes has the tendency to affect everyone beyond the barriers of age. Yes, it DOES sound frightening.
Are you a victim of Diabetes? Have you ever monitored how much sugar you consume per day? If not,
Have you ever thought of how maps are made into a flat surface? Can you cut a ball and show me the surface of the ball as a plane? No, you can’t. Then, you may have to make some amendments to do so.
The surface of the sphere cannot be represented as a plane without any distortion. Carl Friedrich Gauss has mathematically proven this. So, long time ago mathematicians have implemented algorithms to achieve this. For that, they used a process called Projection.
Popular rectangular maps are created with cylinder core projections. That is by putting the globe into a cylinder and projecting each point of the globe to the cylinder surface.
You can project the globe also to other objects, and that will affect the way the map looks.
All these projection methods come with trade-offs such as distance, direction, and land area. Those different maps can be used for different kind of purposes.
NASA utilized satellite measurements of carbon dioxide to make a startling new 3D video that shows how the greenhouse gas travels through Earth’s atmosphere.
The information was originated from NASA’s Orbiting Carbon Observatory-2 (OCO-2) satellite, which was sent in 2014 in order to measure atmospheric CO2 at the regional level. The conclusions gathered over one year (from September 2014 to September 2015) were then fused with a high-resolution weather model to provide an unprecedented 3D view.