Marketplace Artificial Intelligence
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Global HUB ExpertDr. Hardy F. Schloer
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Artificial Intelligence (AI) refers to the simulation of human intelligence by machines, particularly computer systems, to perform tasks that typically require human cognitive functions. These functions include learning (acquiring knowledge and improving performance over time), reasoning (solving problems and making decisions), perception (processing sensory information), and language understanding.
the future of Artificial IntelligenceThe future of Artificial Intelligence (AI) holds transformative potential across numerous fields, impacting society, industry, and the way humans interact with technology. Here are some key trends and considerations for AI's trajectory:
Technological AdvancementsGeneral AI (AGI)
- Research aims to create systems with generalized intelligence that can perform tasks across domains, rivaling human cognitive abilities. Achieving AGI could redefine what machines are capable of.
Reinforcement Learning & Self-Learning Systems
AI systems will become more autonomous, improving their ability to learn from limited data and adapt to novel challenges without human intervention.
Quantum Computing
Quantum AI could significantly accelerate complex computations, optimizing solutions in areas like cryptography, drug discovery, and financial modeling.
Explainable AI
Transparency will grow in importance. AI systems will be designed to explain their decisions, ensuring accountability and trustworthiness.Integration into Society
Healthcare
Advanced diagnostics, personalized medicine, and robotic surgical assistants are likely to become mainstream.
AI may also help in drug discovery and mental health support through virtual therapists.
Education
AI-driven personalized learning platforms will adapt to individual needs, making education more accessible and effective.
Workforce Transformation
AI will automate repetitive tasks, reshaping industries and requiring reskilling for jobs that emphasize creativity, emotional intelligence, and complex problem-solving.
Smart Cities
AI will optimize urban planning, traffic management, and energy consumption, enhancing sustainability and livability.Ethical and Regulatory ChallengesBias and Fairness
Ensuring AI models do not reinforce societal biases will remain a critical challenge.
Data Privacy
Stricter regulations around data use and privacy will shape how AI systems are developed and deployed.
Job Displacement
Addressing the socioeconomic impact of AI-driven automation will require proactive policies, such as universal basic income or reskilling programs.
Governance
International cooperation will be essential to set standards and prevent misuse, such as AI in autonomous weaponry or surveillance.Long-term VisionHuman-AI Collaboration
AI systems will increasingly work alongside humans, augmenting capabilities rather than replacing them.
Global Issues
AI will play a crucial role in tackling climate change, improving food security, and advancing scientific research.
Ethical AI Development
The focus will shift toward creating "ethical AI," aligning machine behavior with human values and ensuring that systems act in humanity's best interest.
Human Augmentation
Integrations like brain-computer interfaces (e.g., Neuralink) could blur the line between humans and machines, enhancing cognition and physical abilities.Conclusion
The future of AI is both promising and complex. While its potential to revolutionize industries and improve lives is immense, its development must be guided by ethical considerations, regulatory frameworks, and a commitment to inclusivity and fairness. Balancing innovation with responsibility will be critical as we navigate this transformative era.
The Future Now Show
Quantum Relations Intelligence – The Breakthrough
with Hardy Schloer & Katie SchultzHardy Schloer engages in a discussion about quantum relations intelligence and its distinction from traditional AI models. Hardy emphasizes the need to understand the core concept of intelligence before implementing AI and criticizes current AI models for lacking true innovation. He also shares his insights on the functionality of the human brain, suggesting it stores sensations and undergoes changes whenever there is a sensation and further discusses the process of how the brain learns and understands through sensations and associations. – AI summary by Zoom
Moderator
CreditsHardy F. Schloer
Founder & CEO of Alpha Centauri International
Cognitive Intelligence by Alpha Centauri Group
Malaysia:
L1-01, Cyberview CoPlace 5, Block 3710, Persiaran APEC, Cyber 8, 63000 Cyberjaya, Selangor, Malaysia
Dubai:
Dubai Silicon Oasis, DDP Building A2 Dubai, United Arab Emirates
cognitivintelligence.comModerator
Katie Schultz (Miss Metaverse™)
Futurist and Content Creator
Bangkok, Thailand & Cary, North Carolina, USA
missmetaverse.io
futuristmm.com
Felix B Bopp
Producer of The Future Now Show
clubofamsterdam.com
The Future Now Show
clubofamsterdam.com/the-future-now-show
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BooksIntroductory and Non-Technical Books
Life 3.0: Being Human in the Age of Artificial Intelligence
by Max Tegmark
Explores how AI might shape our future, touching on ethical and existential questions.
AI Superpowers: China, Silicon Valley, and the New World Order
by Kai-Fu Lee
A deep dive into the AI race between China and the U.S., highlighting economic and societal implications.
Artificial Intelligence: A Guide to Intelligent Systems
by Michael Negnevitsky
A great starting point for beginners, focusing on practical applications of AI.
Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
Discusses the potential risks and benefits of developing superintelligent AI.
Technical and Advanced Books
The Quantum Relations Principle: Managing Our Future in the Age of Intelligent Machines
by Hardy F Schloer, Mihai I. Spariosu
Drawing extensively on the current critical state of affairs at the global level, this book highlights the vital importance of systemic thinking and integrated, transformative knowledge in bringing about a paradigm shift from fragmented, linear ways of thinking to holistic ones, based on the interconnectedness of the web of life. It offers a comprehensive vision and innovative solutions for a sustainable future of our planet, combining traditional wisdom with advanced scientific knowledge and high-end, state-of-the-art information technology. This integration of resources is the premise for the planetary wisdom we so deeply need in order to transform the present global crisis into an opportunity for further human development.
Artificial Intelligence: A Modern Approach
by Stuart Russell and Peter Norvig
Often considered the definitive textbook for AI students and professionals.
Deep Learning
by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
A comprehensive guide to deep learning techniques, suitable for those with a background in mathematics and programming.
Reinforcement Learning: An Introduction
by Richard S. Sutton and Andrew G. Barto
A must-read for understanding the principles of reinforcement learning.
Pattern Recognition and Machine Learning
by Christopher M. Bishop
Focuses on statistical techniques in AI and machine learning.
Philosophical and Ethical Perspectives
The Alignment Problem: Machine Learning and Human Values
by Brian Christian
Explores how AI systems align (or fail to align) with human values and ethics.
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
by Cathy O'Neil
Critiques the misuse of algorithms and their impact on society.
AI in Society and Business
Prediction Machines: The Simple Economics of Artificial Intelligence
by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
Explains how AI transforms decision-making and business operations.
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
by Erik Brynjolfsson and Andrew McAfee
Explores the broader societal implications of AI and automation.
Sustainable mining in an AI-driven world
by Dr Kash Sirinanda
This book is aimed at a general mining audience wanting to understand the future of the mining sector. In some of the areas covered in the book, there are mining companies which are leading and some that are falling far behind. In addition, some of the concepts discussed are starting to emerge in the mining sector; others are not. The contents of the book articulate a vision for futuristic mining. They discuss concepts of futuristic mining and operating models, and present compelling arguments about where the industry should be heading in terms of AI and sustainability.
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ArticlesAn Academic Analysis of
Sam Altman's "The Intelligence Age": Projections
and Implications for the Future of Artificial Intelligence
by Igor van Gemert, Expert on Generative AI and CyberResilience
An entire brain-machine interface on a chip
EPFL
BMind
Baracoda
The Impact of Generative AI on Decision-Making,
Cost Reduction, and Quality Improvement
by Igor van Gemert, Expert on Generative AI and CyberResilience
Shadow AI and Data Poisoning in Large Language Models:
Implications for Global Security and Mitigation Strategies
by Igor van Gemert, Expert on Generative AI and CyberResilience
How we describe the metaverse makes a difference –
today’s words could shape tomorrow’s reality and who benefits from it
by Tom Boellstorff, University of California, Irvine
Apple’s new Vision Pro mixed-reality headset could
bring the metaverse back to life
by Omar H. Fares, Toronto Metropolitan University
The AI Generation:
how universities can prepare students for the changing world
by Richard Brown, Visiting Fellow at the School of Advanced Study, University of London, published by Demos
The Rise of Shadow AI: How Nation-States Undermine Trust in AI for Political Gain
by Igor van Gemert, Expert on Generative AI and CyberResilience
Generating Democracy: AI and the coming revolution in political communications
by Alice Dawson and James Ball
Published by Demos January 2024
AI In Banking and Financial Services
by Rohit Talwar, CEO, Fast Future
OpenAI-backed "AGI ROBOT" shocked the entire Industry
by Matthew Berman
Futurists predict a point where humans and machines become one.
But will we see it coming?
by John Kendall Hawkins and Sandy Boucher, University of New England
Four ways AI could help us respond to climate change
– despite how much energy it uses
by Lakshmi Babu Saheer, Anglia Ruskin University
Artificial Intelligence & Climate Change
Energy Efficiency
Renewable Energy Integration
Climate Modeling and Prediction
Natural Resource Management
Precision Agriculture
Climate Adaptation and Resilience
Carbon Capture and Sequestration
Behavioral Change and AwarenessAi Weiwei says art that can be replicated by AI is ‘meaningless’ – philosopher explains what that means for the future of art
by Maria Serban, University of East AngliaThe Economy of Tomorrow | AI Revolution | Megacities | Documentary
by Moconomy
GOFAR : Global Organization For Agricultural Robotics
What are Hollywood actors and writers afraid of?
A cinema scholar explains how AI is upending the movie and TV business
by Holly Willis, University of Southern California
Finding The Wisest Ways To Global AI Regulation
by IEEE Spectrum
Synthetic futures: my journey into the emotional, poetic world of AI art making
by Mitch Goodwin, Faculty of Arts, The University of Melbourne
Artificial intelligence and algorithms: pros and cons
by DW Documentary, Tilman Wolff and Ranga Yogeshwar
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VideosAI Collaboration in Creative Workflow
with Kris Krüg & Katie (Miss Metaverse®) Schultz
Collective Wisdom and AI
with George Pór & Reto Brosi
Building The Metaverse
with Jake Aaron, Jenni Nexus, Katie Schultz (Miss Metaverse™) & Mario de Vries
Quantum Relations Intelligence – The Breakthrough
with Hardy Schloer & Katie Schultz
Futurenomics
with Bronwyn Williams & Katie Schultz
The Entertainment Futurist
with Robert Tercek & Miss Metaverse
Artificial Intelligence
with Hardy Schloer, Harish Shah, Mario de Vries & Miss Metaverse
AI and Business
with Maarten Stol
Causalities and A.I.
with Hardy Schloer hosted by Simon Jones
Digital Twin Cities & Artificial Intelligence
with Igor van Gemert
Music, AI, the future of Multimedia
Phyllis Josefine and Zak Field
Artificial Intelligence & Business
Nikola Danaylov aka “Socrates” and Katie Aquino, aka “Miss Metaverse”
Robotics and A.I.
Karin Jironet, Markus Petz, Katie Aquino, aka “Miss Metaverse” and Annegien Blokpoel
Global Marketplace
with Hardy F Schloer, moderated by Mustafa Chaudhry
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Links
Major Technology Companies
Google DeepMind
A subsidiary of Alphabet Inc., DeepMind is renowned for its groundbreaking work in deep learning and reinforcement learning. Notable achievements include AlphaGo, AlphaZero, and AlphaFold, which have significantly advanced AI applications in gaming and protein folding.
Microsoft
Through substantial investments in AI research and integration of AI across its product suite, Microsoft has established itself as a key player in the AI landscape. Its Azure AI platform offers a range of services for developers and enterprises.
OpenAI
An AI research organization dedicated to ensuring that artificial general intelligence benefits all of humanity. OpenAI has developed advanced language models, including the GPT series, with GPT-5 (code-named Orion) currently under development.
NVIDIA
Known for its high-performance GPUs, NVIDIA has been instrumental in providing the hardware necessary for AI research and deployment. The company also develops AI frameworks and platforms that support deep learning and other AI applications.
Amazon Web Services (AWS)
AWS offers a comprehensive suite of AI and machine learning services, enabling businesses to build and scale AI applications efficiently.
Emerging AI Companies
Anthropic
A company focused on AI safety and research, aiming to build reliable, interpretable, and steerable AI systems.
Cohere
Specializes in providing natural language processing (NLP) models and tools, facilitating the integration of language understanding capabilities into various applications.
Hippocratic AI
Collaborates with educational institutions to advance healthcare education through AI, combining practical experience with AI capabilities to enhance learning outcomes.
Research Institutions and Universities
Massachusetts Institute of Technology (MIT)
MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) is at the forefront of AI research, contributing to advancements in machine learning, robotics, and computational theory.
Stanford University
Home to the Stanford Artificial Intelligence Laboratory (SAIL), which conducts research in various AI domains, including computer vision, natural language processing, and autonomous systems.
University of Cambridge
Hosts the Leverhulme Centre for the Future of Intelligence, focusing on the opportunities and challenges posed by AI.
Global AI Hubs
China
Chinese companies such as Alibaba, Baidu, and Tencent are making significant strides in AI, particularly in areas like natural language processing and computer vision. Despite facing restrictions on accessing advanced chips, these companies have reported developments in AI models that compete with leading international counterparts.
European Union
The EU is fostering AI development through initiatives like the European AI Alliance, aiming to promote collaboration and establish ethical guidelines for AI deployment.
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