MIT to Propose to Teach AI Like a Baby

The machine must independently observe people, “listen” to their conversations and form vocabulary
02 November 2018   436

MIT has developed a parser for artificial intelligence learning language. Its feature is learning through observation - as children do. This is reported by Engadget Com.

The method is not based on clear descriptions of words and concepts, but on the method of “weak control” and passive learning. The machine must independently observe people, “listen” to their conversations and form vocabulary. In the same way, children learn to speak, listening and learning words.

It is assumed that this approach will simplify the accumulation of vocabulary and allow programs and robots to more accurately perceive human speech and respond to it.

People in conversation often use only part of the sentence and violate the rules of grammar. Word analysis 'on the run' is supposed to improve the performance of AI systems and parsers. The parser does not rely on a specific context, and therefore, allows robots to perceive implicitly formulated orders.

The analyzer will help to find out how your child learns the language, which will help not only the developers of robots, but also specialists working with children.

MIT used the passive method of teaching the AI ​​network underlying the parser. Neural networks see video and text descriptions of actions, and the system correlated data and linked words with objects and actions. Researchers used 400 videos.

Scientists argue that the technology is easily scaled, and can be used where voice control or communication with AI is necessary.

Python to be Language of 2018 According to TIOBE

According to experts, Python has become an integral part of many IT-spheres, including AI
09 January 2019   328

TIOBE experts called Python the programming language of 2018 - according to them, Python has become an integral part of many IT-spheres. It is leader of use at statistics, artificial intelligence systems development, scripts and system tests, and is still widely used in web development and scientific computing.

By the way, Python reached this peak for the third time - none of the languages ​​showed this result.

TIOBE Languages of the Year List
TIOBE Languages of the Year List

TIOBE experts summed up not only the whole year, but also the month. Returning to the top three in December, in January, Python continued to push C ++, although the last time it lost ground fairly quickly.

MATLAB changed places with Ruby: the first one rose to the 11th line, the second one dropped to 18. TypeScript took off as much as 118 points and took the 49th place. F # lost two dozen points, and Alice lost all four.

Tiobe Index Jan 2019 to Jan 2018 Compare
Tiobe Index Jan 2019 to Jan 2018 Compare

Kotlin started the year with a positive. The language has risen to 31st place, and experts believe that in 2019 it will enter the top 20.