Hunting for AI

Hunting for AI

Deloitte Global predicts that by the end-2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products

Basing on the Deloitte TMT Predictions it is expected that the cognitive technologies that will be the most important in the enterprise software market will be: machine learning, natural language processing and speech recognize

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As far as all global market is hunting for artificial intelligence, most of experts believe that computers are smarter that human.

Deloitte Global expects cognitive technologies will be deployed to different extents by enterprise software companies, but it is still needed to define three most widely used in the near-term

Machine learning the ability of the computer systems to improve their performance by exposure to data but without the need to follow explicitly-programmed instructions.

Natural language processing (NLP) – whereby computers can process text in the same way as humans, for example extracting meaning from text or even generating text that is readable, stylistically natural, and grammatically correct. The development of NLP applications is challenging because computers traditionally require humans to “speak” to them in a programming language that is precise, unambiguous and highly structured or, perhaps through a limited number of clearly-enunciated voice commands. Human speech, however, is not always precise — it is often ambiguous and the linguistic structure can depend on many complex variables, including slang, regional dialects and social context.

Speech recognition – the ability to automatically and accurately transcribe human speech is useful for applications that may benefit from hands free models of operation

Speech recognition works using algorithms through acoustic and language modeling. Acoustic modeling represents the relationship between linguistic units of speech and audio signals; language modeling matches sounds with word sequences to help distinguish between words that sound similar.

Writing in The Independent, Hawking readily acknowledges the good that comes from such technological advancements:

Recent landmarks such as self-driving cars, a computer winning at “Jeopardy!,” and the digital personal assistants Siri, Google Now, and Cortana are merely symptoms of an IT arms race fuelled by unprecedented investments and building on an increasingly mature theoretical foundation.

One question is still bothering me: can AI be dangerous?

I believe that this a disruptive step forward, but I am pretty sure that the hands of the wrong person, these weapons could easily cause mass casualties.

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