HOW NEURAL NETWORKS WILL RULE 2021-2030 RESEARCH ON AI AND NEURAL NETWORKS BEGAN WAY BACK IN THE MID 1900’S. SO WHY IS IT THAT CERTAIN AI BASED TECHNOLOGIES HAVE SEEN EVOLUTION ONLY IN THE LAST DECADE . THE ANSWER TO THIS QUESTION LIES IN THE VERY NATURE OF NEURAL NETWORKS. TO UNDERSTAND THIS BETTER LETS […]
YOU MUST BE FAMILIAR WITH CPU( CENTRAL PROCESSING UNIT) . AND IF YOU ARE EITHER A GAMING ENTHUSIAST OR SOMEONE WHO KEEPS HIMSELF UPDATED WITH AI ADVANCEMENTS CHANCES ARE HIGH THAT YOU HAVE HEARD OF GPU’S. THEY HAVE EMERGED AS A BOON FOR AI DEVELOPMENT . AND SURELY THEY ARE DOING THEIR PART IN GAMING /GRAPHICS ADVANCEMENTS. WITH THE INCREASING USAGE OF DEEP LEARNING IN GAMES ,WE MIGHT SEE REALLY DIFFERENT VERSIONS OF GAMES BY THE END OF THIS DECADE . SMART AND INTELLIGENT ONES !!!!
LETS ANSWER THE BASIC QUESTION FIRST
GPU STANDS FOR GRAPHICS PROCESSING UNIT .THE CORE PRINCIPLE ON WHICH GPU WORKS IS ” DIVIDE AND CONQUER ” . IN TECHNICAL TERMS WE CALL IT PARALLEL COMPUTING . THIS IS WHAT MAKES A GPU SO GOOD IN WHAT IT DOES . THIS IS IN CONTRAST TO A CPU WHICH CAN DO ONLY A HANDFUL OF CALCULATIONS AT ONCE . BUT HOW DOES A GPU DOES SO .WELL , THE ANSWER SEEMS OBVIOUS!!
IF YOU ARE READING THIS ON A LAPTOP , OR IF YOU OWN ONE , YOU MUST HAVE HEARD TERMS LIKE DUAL CORE ,QUADCORE AND OCTACORE . SO BASICALLY A CPU CONSISTS OF A FEW CORES WHICH CAN HANDLE ACTIVITIES AND SUPPORT MULTIPROCESSING . IN CONTRAST A GPU CONSISTS OF A HUNDREDS OF CORES WHICH ALLOWS IT TO PERFORM PARALLEL COMPUTING BY BREAKING THE PROBLEM INTO SUBPROBLEMS.
I HOPE YOU ARE FAMILIAR WITH NEURAL NETWORKS. AND IF NOT ,SUGGEST READING THIS AND THEN COMING BACK TO UNDERSTAND BETTER . ITS EASY TO SEE HOW THE NUMBER OF CALCULATIONS NEEDED PER CYCLE OF BACKPROPOGATION /FEEDFORWARD INCREASES DRASTICALLY WITH THE INCREASING COMPLEXITY OF THE NETWORK. ( MORE NEURONS , HIDDEN LAYERS AND SO) . THE NUMBER OF CALCULATIONS SOON RISE TO MILLIONS . TRAINING SUCH A MODEL ON A CPU WOULD BE A TEST OF PATIENCE . GPUs , BECAUSE OF THEIR ABILITY TO BREAK UP THE PROBLEMS USES PARALLEL COMPUTING TO ITS AID WHICH SPEEDS UP THE PROCESS EXPONENTIALLY .
I THINK BY NOW YOU CAN REALISE HOW GPUs WOULD OUTPERFORM CPUs IN THESE APPLICATIONS . SURELY BY THE END OF NEXT DECADE THE AI WOULD EFFECT GAMES , HEALTHCARE AND MANY DOMAINS OF COMPUTER SCIENCE . CURRENTLY NVIDIA IS LEADING THE GPU PRODUCTION MARKET . NVIDIA GRAPHICS CARDS ARE FAIRLY POPULAR AMONG GAMERS . CURRENTLY THE GAMES THAT CLAIM TO USE ” AI ” ARE IN REALITY USING ALGORITHMS FOR OPTIMISING THE ENEMIES BEHAVIOUR /APPROACH . THEY WORK ON TECHNOLOGIES LIKE “FINITE STATE MACHINES” . BUT SOON WE EXPECT THINGS TO CHANGE . TILL THEN , GAME ON!!!!
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