UPVIS

Technological progress is accelerating in an unprecedented way.   We all know this fact, but often we only use it in decisions such as when to buy a new phone with greater capabilities and a cheaper price.   The goal of this article is to get you to think a little further. In a report by the Australian Youth Foundation - a non-profit organization that works to develop educational outcomes and life opportunities for young Australians - it was found that 70% of young people newly joining the workforce work in jobs that will be drastically affected by automation and technical progress, while 60% of current students They are being qualified for jobs that will experience similar impacts, many of which will disappear within 10 to 15 years, because two-thirds of them will be automated within the next few decades. The report also adds that the way we work will change - more automation, globalization, open jobs and new partnerships will lower barriers to entry into the labor market

. First it was personal computers, then smartphones.   What is the next platform to transform into a public computing platform? the cars.   Cars will be the next computing platform.   (Well, an upcoming 'one' computing platform). The general trend towards developing robotic cars (or self-driving cars as they are known in the media) is one of the main factors that will lead to this happening.   Building a computer system that can "completely" replace a human driver requires enormous processing capabilities, which means that the number of computing units used in cars will double.   I remember reading a while ago that the average number of processors in a modern car - nowadays - is 200, despite the fact that the jobs that cars currently perform are primitive compared to what a car running in the fifth automation level is supposed to do.  The best description I've read of those cars is going to be "Supercomputer on Wheels", or "supercomputer on wheels&q

The risk associated with the widespread use of artificial intelligence algorithms is far from world-dominating scenarios ... etc. The real danger is the "normalization" of reliance on algorithms in making decisions, which means the disappearance of the party that can be held responsible when something goes wrong. Why can't I get a credit card? "- Sir, we do not know. The regime decided that." "- Who will bear the millions that we lost in the previous deal?" "- Sir, we do not know, but it was the regime that suggested it was a profitable deal." - Why did you bomb the hospital even though it was not a military target? "We, sir, did not bomb it, the regime did that." While this risk is general and not related to AI algorithms specifically, the amount of confidence that the non-specialist gives to anything whose description contains the term "artificial intelligence" exceeds that which it gives to other algorithms, which means

I just ran into the corner of their performance when I started playing.   It wasn't the playing that caught my attention so much as the manner of playing it.   Watching it directly is very different from watching it in a video, for example. Speed, flow, harmony, that inhuman amount of motion control made it sound as if violin was part of her body.   How can a person reach such limits by his body? When I got home I searched for more information about her.   She is 25 years old and started playing at the age of 3.   That means she's been playing for 22 years.   It may have started as a hobby, but now it is all that she does in her life.   Continuity is the password, although it is not a secret.   The same applies not only to physical skills, but also to mental skills. I mentioned this story because there is a deeper point that I would like to make.   In our country, the only concern of parents is for their children's academic success.   Having a hobby not related to studying

The false sense of security behind a computer or phone screen tempts an individual to bypass the lines that they usually do not cross, which leads to results that are usually unfortunate as well.  In particular, there are two types of abuse that are most common: personal information and thoughtless speaking. Ah, what can I say about the first.   As if it were an epidemic that infects individuals with a state of involuntary leakage of personal information in a way that does not occur in any other context.   No, it is impossible to happen in any context at all.   How many details do some (the majority?) Post is confusing.   I can't find a precise word "confusing" to describe it.   Usually a mother does not know that much information about her children.   No, rather, the individual usually does not know about himself that much.   The matter is not limited to the sound, image and video of the individual in all situations and in all places and with all persons, but rather goes

Robotic cars are one of the applications of mobile robotics, which is why the technologies used to develop them are the same technologies that researchers have been developing for decades, with an important difference: the acceptable margin of error in the case of robotic cars is close to zero.   This is not currently supported by technologies developed for research purposes. How do we deal with this matter?   A logical start is a review of the main assumptions on which all this research is based, and there we may find what helps us.   One of the main assumptions is that the environment in which the robot (or vehicle) moves does not contain any amount of intelligence or reactivity, so the robot must do everything on its own by relying on its own sensing capabilities. For example, if we assume that the robot we are talking about is a car approaching an intersection, what we would expect of the car is that it will be able to recognize a traffic light, stop with a red light, and travel wi