AI / ML
Tackling complex decision-making processes In the words of Dharmendra Modha , lead researcher of the Cognitive Computing group at IBM Almaden Research Centre : “ Cognitive computing goes well beyond artificial intelligence and human-computer interaction as we know it – it explores the concepts of perception , memory , attention , language , intelligence , and consciousness .
“ Typically , in AI , one creates an algorithm to solve a particular problem . Cognitive computing seeks a universal algorithm for the brain .”
By learning patterns and behaviours and becoming more intelligent , a computer system can tackle complex decisionmaking processes , according to Sue Tripathi Ph . D , Managing Director , Global GTM , Data , AI at Accenture .
“ The genesis of cognitive computing aligns to the basic characteristics of most human beings-understand , reason , learn and interact ,” she says . “ Like humans , cognitive computing has its own language , viz ., natural language processing and machine learning with neural networks . Natural language processing aids in intuitive discovery , understanding meaning and context .
“ On the other hand , machine learning with neural networks provides algorithms that help train the system to recognise images and understand speech . Cognitive computing stimulates human thought processes in machines using self-learning algorithms , through data mining , visual and speech recognition and natural language processing to find answers to complex problems .
“ By mimicking human thought processes , cognitive computing systems essentially create an artificial environment where computers help people make better decisions .
“ Typically , in AI , one creates an algorithm to solve a particular problem . Cognitive computing seeks a universal algorithm for the brain ”
DHARMENDRA MODHA IBM aimagazine . com 51