The Future is Now Exploring Cutting Edge AI & Innovation #254035

Upon completion of this course, participants will be able to:

• Understand Frontier AI Technologies: Explain the core concepts, capabilities, and limitations of cutting-edge AI fields such as generative AI, neuromorphic computing, and AI agents.

• Analyze Industry-Specific Transformations: Evaluate how emerging AI advancements are poised to disrupt specific sectors like healthcare, finance, manufacturing, and creative industries.

• Anticipate Ethical and Societal Implications: Critically assess the potential risks, ethical dilemmas, and societal impacts of widespread adoption of advanced AI systems.

• Develop Foresight and Strategic Foresight: Apply tools and frameworks for trend analysis and scenario planning to anticipate future technological shifts.

• Identify Innovation Opportunities: Recognize new avenues for innovation, investment, and strategic development within their own fields.

• Navigate the Innovation Ecosystem: Map the key players, from leading research labs to startups, driving progress in advanced AI.

This course is designed for forward-thinking professionals who need to understand the next wave of technological change:

• C-Suite Executives and VPs of Innovation/R&D

• Product Managers and Technology Strategists

• Research Scientists and Engineers

• ** Venture Capitalists** and Investors in deep tech

• Entrepreneurs and Startup Founders

• Policy Makers and Government Regulators

• Consultants specializing in digital transformation

• Anyone with a deep interest in the future of technology and its impact on society

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: The State of the Art: Beyond Generative AI

• AM: The Expanding AI Universe

  • From Narrow AI to Artificial General Intelligence (AGI): Pathways and predictions

  • Beyond ChatGPT: Advanced architectures in generative AI (multimodal models, AI agents)

  • Key players: Overview of leading research labs (OpenAI, DeepMind, Anthropic) and their roadmaps

• PM: Hardware Revolution

  • Next-generation computing: Neuromorphic chips, quantum computing for AI, and photonic processors

  • The role of specialized hardware in accelerating AI capabilities

  • Workshop: Analyzing the compute requirements for future AI models

Day 2: Autonomous Systems & Embodied AI

• AM: The Future of Autonomy

  • Advances in robotics: humanoid robots, swarm intelligence, and precision automation

  • Autonomous vehicles: From cars to aerial drones and marine vessels

  • Case study: Real-world applications in logistics, manufacturing, and exploration

• PM: AI in Physical Worlds

  • Embodied AI: Systems that learn and interact in physical environments

  • Simulation and digital twins for training AI systems

  • Demo: Interacting with a simulation environment for AI training

Day 3: AI for Science and Discovery

• AM: Accelerating Scientific Breakthroughs

  • AI in drug discovery and genomics: Designing new molecules and personalized medicine

  • AI for material science: Discovering new materials with desired properties

  • AI in climate science: Modeling complex systems and optimizing renewable energy

• PM: AI-Driven Engineering

  • Generative design and AI-optimized engineering

  • AI for chip design and hardware engineering

  • Workshop: Exploring AI tools for scientific discovery

Day 4: The Human-AI Frontier

• AM: Brain-Computer Interfaces and Cognitive Augmentation

  • Neural interfaces: Current capabilities and future potential

  • AI-assisted cognition and decision-making

  • Ethical considerations of human augmentation

• PM: AI in Creative Domains

  • Advanced AI in art, music, and storytelling

  • The future of creative work and intellectual property

  • Hands-on session: Collaborating with AI on a creative project

Day 5: Navigating the Future

• AM: Safety, Ethics, and Governance

  • AI alignment and safety research

  • Regulatory frameworks and global governance approaches

  • Strategies for responsible innovation and deployment

• PM: Future Scenarios and Strategic Planning

  • Scenario planning exercise: Mapping possible AI futures

  • Developing innovation strategies for different future scenarios

  • Capstone project: Creating a future-ready innovation roadmap for your organization

  • Course conclusion: Key takeaways and personal action plans