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

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

6. INDUSTRY REVOLUTION

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

15. SOFTWARE DEVELOPMENT

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