HOME TIMELINE TEAM SHOWCASE FAQ ANNOUNCEMENT
SHOWCASE
ON THIS PAGE YOU CAN LEARN ABOUT THE MATRIX'S COMPLETED TECHNICAL PRESENTATIONAND THE LATEST RESEARCH AND DEVELOPMENT
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SHOW CASE
HIGH-PERFORMANCE BAYESIAN ARTIFICIAL INTELLIGENCE LEARNING ALGORITHM:
HIGH-PERFORMANCE BAYESIAN ARTIFICIAL INTELLIGENCE LEARNING ALGORITHM:
PICTURE: MATRIX BAYESIAN ALGORITHM KNOWLEDGE CATEGORY GENERATE DIAGRAM
THE LATEST BAYESIAN ARTIFICIAL INTELLIGENCE ALGORITHM, WHICH IS UNIQUE TO THE MATRIX, CAN LEARN AND GENERATE A NEW CATEGORY NODE WITH ONLY 20 OF EXAMPLES, WHICH IS NEARLY AS EFFICIENT AS THE ORDER OF MAGNITUDE OF HUMAN LEARNING AND DRAMATICALLY IMPROVES THE EFFICIENCY OF MACHINE LEARNING.
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SHOW CASE
HIGH-PERFORMANCE BAYESIAN INFERENCE MACHINE (MATRIX CENTRAL NETWORK MINING MACHINE PROTOTYPE):
HIGH-PERFORMANCE BAYESIAN INFERENCE MACHINE (MATRIX CENTRAL NETWORK MINING MACHINE PROTOTYPE):
PHOTO: MATRIX CENTRAL NETWORK MINING MACHINE NODE PROTOTYPE-HIGH PERFORMANCE BAYESIAN INFERENCE MACHINE
EFFICIENT MCMC (MONTE CARLO. MARKOV) COMPUTING POWER, THE COMPLEXITY OF 500K EQUIVALENT LOGIC GATE, OPERATING FREQUENCY 200MHZ, DO MCMC CALCULATION FASTER THAN I7 PROCESSOR 50 TIMES, BAYESIAN NETWORK LEARNING IS MORE THAN THREE TIMES FASTER THAN THE TITAN GPU
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SHOW CASE
BLOCKCHAIN DIGITAL ASSET SAFE:
THE PROTOTYPE DESIGN OF THE MATRIX DIGITAL ASSET SAFE DEPOSIT BOX HOT AND COLD END SEPARATION, PRIVATE KEY WILL NEVER BE CONNECTED; LIMITED PROTECTION OF SMALL AREA LAN; PROACTIVE TEST CONFIRMATION BEFORE TRADING TO PREVENT WRONG ADDRESS; ACTIVE SNIFFING AND PROTECTION OF TRADE LOOPHOLES;SUPPORT THE MAINSTREAM BLOCK CHAIN DIGITAL ASSETS.
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SHOW CASE
ARTIFICIAL INTELLIGENT ROBOT:
IN ORDER TO BETTER SERVE THE USER, WHILE ALLOWING USERS TO HAVE A MORE INTUITIVE EXPERIENCE OF THE MATRIX AI TECHNOLOGY, WE HAVE JOINED IN THE COMMUNITY AI CHAT ROBOT, PLEASE EYES TO FIND THEM!
PROJECT PROGRESS UPDATE:
MATRIX WILL UPDATE THE LATEST CODE AND PROGRESS TO THE GITHUB IN REAL TIME; PLEASE VISIT THE LINK BELOW TO PAY ATTENTION TO THE LATEST PROGRESS OF MATRIX. GITHUB LINK: HTTPS://GITHUB.COM/MATRIXAINETWORKMAN"