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6G WHITE PAPER ON
MACHINE LEARNING
MIRZA TIMOOR SULTAN BAIG
6 g white paper on machine learning
WHAT IS MACHINE LEARNING
• Programming a computer to optimize performance standard
by using past experience
• machine language is a branch of artificial intelligence
• Calculation of algorithm allow computer to develop behavious
based on real data
QUICK FACT OF MACHINE LEARNING
Machine learning algorithm
There are two types of algorithm
1.Supervise algorithms
• Apply fast information registered to new data
2.Unsuoervise algorithm
• Draw conclusions of data base
CHALLENGES A CREATING A TRUSTWORTHY
INTELLIGENT AND SELF-HEALING
CONNECTIVITY
• Guaranteed industrial grades QoS for service level agreement
• Massive secure connectivity in future system
• Peer to peer transactions and financial settlement
• Decentralization of power ownership
• Data transparency confidentially and integrity
• Trustless access control and auditability
• Network privacy and resiliency
• Security and vulnerability for apps using smart devices
INDUSTRY REVOLUTION
COMPONENTS OF MACHINE LEARNING
• Representation
• evolution
• optimization
WHAT IS ARTIFICIAL INTELLIGENCE
6 g white paper on machine learning
COMPONENTS OF ARTIFICIAL INTELLIGENCE
INDUSTRIES WHICH WILL BENEFITS BECAUSE
OF MACHINE LEARNING AND ARTIFICIAL
INTELLIGENCE
6 g white paper on machine learning
ALL RESEARCH
• Only 15% of papers publish their code
• Less than 35% of paper mention the framework they used
• for biggest tech companies their code is intertwined with
proprietary scaling infrastructure
• Centralization of al-tach and compute is a hug problem
AL INDUSTRY
Al-first: A is the fist class citizen
• Drug and therapeutic discovery
• FDA acknowledged traditional medical devices regulation was
not designed for al-first software which improve over time.
The raise of MLOps signal and industry shift from R and D to
operations
• Enterprises report that al drives revenue in sale and marketing
reducing costs in supply chain management and
manufacturing function
SOFTWARE DEVELOPMENT
CONCLUSION
• 6G standardization and commercialization could happen as early
2025
• It will be a force multiplier for 6G
• Arm race is inevitable
• Talent will remain scarce
• Large platform companies will dominate 6G
patents
• Legal ethics dilemma need to be addressed
EXAMPLES
• Movies/songs recommendation
• Fraud detection /credit card purchases
• Smart home devices
• Facebook /trading friends
• Video games
• Virtual personal assistants like siri or cortana
6 g white paper on machine learning
6 g white paper on machine learning

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6 g white paper on machine learning

  • 1. 6G WHITE PAPER ON MACHINE LEARNING MIRZA TIMOOR SULTAN BAIG
  • 3. WHAT IS MACHINE LEARNING • Programming a computer to optimize performance standard by using past experience • machine language is a branch of artificial intelligence • Calculation of algorithm allow computer to develop behavious based on real data
  • 4. QUICK FACT OF MACHINE LEARNING Machine learning algorithm There are two types of algorithm 1.Supervise algorithms • Apply fast information registered to new data 2.Unsuoervise algorithm • Draw conclusions of data base
  • 5. CHALLENGES A CREATING A TRUSTWORTHY INTELLIGENT AND SELF-HEALING CONNECTIVITY • Guaranteed industrial grades QoS for service level agreement • Massive secure connectivity in future system • Peer to peer transactions and financial settlement • Decentralization of power ownership • Data transparency confidentially and integrity • Trustless access control and auditability • Network privacy and resiliency • Security and vulnerability for apps using smart devices
  • 7. COMPONENTS OF MACHINE LEARNING • Representation • evolution • optimization
  • 8. WHAT IS ARTIFICIAL INTELLIGENCE
  • 10. COMPONENTS OF ARTIFICIAL INTELLIGENCE
  • 11. INDUSTRIES WHICH WILL BENEFITS BECAUSE OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
  • 13. ALL RESEARCH • Only 15% of papers publish their code • Less than 35% of paper mention the framework they used • for biggest tech companies their code is intertwined with proprietary scaling infrastructure • Centralization of al-tach and compute is a hug problem
  • 14. AL INDUSTRY Al-first: A is the fist class citizen • Drug and therapeutic discovery • FDA acknowledged traditional medical devices regulation was not designed for al-first software which improve over time. The raise of MLOps signal and industry shift from R and D to operations • Enterprises report that al drives revenue in sale and marketing reducing costs in supply chain management and manufacturing function
  • 16. CONCLUSION • 6G standardization and commercialization could happen as early 2025 • It will be a force multiplier for 6G • Arm race is inevitable • Talent will remain scarce • Large platform companies will dominate 6G patents • Legal ethics dilemma need to be addressed
  • 17. EXAMPLES • Movies/songs recommendation • Fraud detection /credit card purchases • Smart home devices • Facebook /trading friends • Video games • Virtual personal assistants like siri or cortana