Here's what's scheduled for the event. All Times are in BST.
| AGENDA, DAY ONE | |
| 09:00 | REGISTRATION AND WELCOME COFFEE |
| 09:30 | OPENING ADDRESS FROM THE CHAIRMAN |
| 09:40 | DEEP LEARNING AT THE EDGE WITH GPUS: AN END-TO-END WORKFLOW Case study • Hardware architecture for high-performance and efficiency at the edge • Training and optimization for edge deployment • From data to insights: end-to-end hardware acceleration • Simulation and hardware-in-the-loop |
| 10:20 | SPEED NETWORKING Innovative approach to maximize networking capabilities through two minutes periods, where delegates can meet their peers and exchange business cards before rotating to the next company representative |
| 10:50 | MORNING COFFEE AND NETWORKING BREAK |
| 11:20 | THE EVOLUTION OF AI CHIPS: PAST, PRESENT, AND FUTURE Case study • AI chips and their role in AI development • The rise of deep learning and the demand for AI-specific hardware • AI’s technology roads • Future directions for AI chips |
| 12:00 | RESPONSIBLE COMPUTING – HOW AI CHIPS ENGINEERING THE FUTURE OF DATA AND AI PLATFORM IN THE CLOUD Case study • Learn to build a sustainable AI Infrastructure to acquire and store the data • Select compute options and network considerations - design for capacity, availability, and sustainability • Adopt a low carbon cost chip sets approach while training and building our ML models, source the training data, and consider algorithmic selection |
| 12:40 | HARDWARE ACCELERATION FOR AI Case study • FPGA and ASIC solutions for AI applications • Role of neuromorphic computing in hardware acceleration • Efficient hardware for machine learning inference |
| 13:20 | BUSINESS LUNCH |
| 14:30 | AI CHIP MANUFACTURING TECHNOLOGIES Case study • Innovations in nanoscale fabrication processes • Overcoming manufacturing challenges for AI chips • Enhancing yield and quality control in chip production |
| 15:10 | AI ETHICS IN CHIP DESIGN AND APPLICATIONS Case study • The overview of importance of AI ethics in the development of AI chips • Key principles of ethical AI • Ensuring ethical practices in AI chip design and deployment • Safety and risk management in AI chips for autonomous systems • International cooperation on ethical AI standards for chip design |
| 15:50 | NETWORKING COFFEE BREAK |
| 16:20 | POWER EFFICIENCY IN AI CHIPS Case study • Low-power design techniques for AI chips • Energy-efficient hardware for edge computing • Dynamic voltage and frequency scaling (DVFS) in AI chips |
| 17:00 | PANEL DISCUSSION The latest advancements in AI chips and hardware, their impact on artificial intelligence applications, and the challenges and opportunities that lie ahead in this rapidly evolving field. |
| 17:30 | CHAIRMAN’S CLOSING REMARKS AND END OF DAY ONE |
| 17:40 | COCKTAIL RECEPTION |
| AGENDA, DAY TWO | |
| 09:00 | REGISTRATION AND WELCOME COFFEE |
| 09:30 | OPENING ADDRESS FROM THE CHAIRMAN |
| 09:40 | AI CHIP SECURITY AND TRUST Case study • Hardware security vulnerabilities in AI systems • Side-channel attack mitigation in AI chips • Trusted execution environments for AI |
| 10:20 | AI CHIP BENCHMARKING AND PERFORMANCE EVALUATION Case study • Voltage metrics for evaluating AI chip performance • Real-world AI workloads and benchmarks • Comparative analysis of leading AI chips |
| 11:00 | MORNING COFFEE AND NETWORKING BREAK |
| 11:30 | CUSTOMIZED HIGH PERFORMANCE AND ENERGY EFFICIENT COMMUNICATION NETWORKS FOR AI CHIPS Case study • Energy efficiency as a critical aspect of AI chip communication networks, ensuring minimal power consumption while maintaining high throughput • Tailored communication protocols and architectures that enable seamless integration of AI chips with other components of the system, enhancing overall performance • Scalability as a key consideration, ensuring that communication networks can support larger AI chip clusters and accommodate future expansion |
| 12:10 | REVOLUTIONIZING CHIP DESIGN: HOW AI IS TRANSFORMING THE SEMICONDUCTOR INDUSTRY Case study • The transformative potential of AI in chip design • The role of semiconductor industry in Artificial Intelligence |
| 12:50 | BUSINESS LUNCH |
| 14:00 | ARTIFICIAL-INTELLIGENCE HARDWARE: NEW OPORTUNITIES FOR SEMICONDUCTOR COMPANIES Case study • The growing importance of Artificial Intelligence in various industries and its impact on the semiconductor industry • Overview of the current landscape of AI hardware, including specialized chips and hardware accelerators, and their applications in AI workloads • Exploration of the challenges faced by semiconductor companies in designing AI hardware, such as power efficiency, performance, and scalability • Analysis of emerging trends and opportunities in AI hardware, including advancements in neuromorphic computing, quantum computing, and edge AI |
| 14:40 | AI HARDWARE SECURITY AND RELIABILITY Case study • Trustworthy AI hardware design and verification • Ensuring reliability and fault tolerance in AI hardware |
| 15:20 | NETWORKING COFFEE BREAK |
| 15:50 | PANEL DISCUSSION The role of close collaboration between hardware designers, AI chip manufacturers, and communication network experts that essential to achieve optimal performance and energy efficiency. |
| 16:20 | CHAIRMAN’S CLOSING REMARKS AND END OF THE CONFERENCE |
This premier B2B event provided a platform for experts, researchers, and industry professionals to come together, share insights into cutting-edge AI chip technologies, ethical considerations, real-world implementations, and the role of hardware innovation in driving AI's future. It is an opportunity to exchange knowledge and connect with leading experts. It is an honour and privilege to invite you to participate on this Conference. We look forward to welcoming you at the Conference in Berlin upcoming November.
✓ The latest trends and future directions in AI chip technologies
✓ Cutting-edge research and advancements in AI hardware
✓ The challenges and opportunities in AI chip design and implementation
✓ State-of-the-art AI chips, hardware accelerators, and innovative AI computing solutions
✓ The advancements in power-efficient AI chips and techniques for reducing energy consumption without compromising performance
✓ The importance of hardware security and reliability in AI chips, addressing concerns about privacy and data protection
✓ The ethical considerations in AI hardware design, ensuring responsible and unbiased AI technologies
Directors, VPs, Managers and Heads of:
✓ Scientists and Researchers
✓ Software Developers, Engineers & Architects
✓ Machine Learning Engineers, Data Engineers & Data Scientists
✓ Semiconductor Engineers and Designers
✓ AI Hardware Architects
✓ Head of Innovation
✓ Technology Investors and Developers
✓ Research enterprises
✓ Technology and Electronics
✓ Data Centers and Cloud Computing
✓ Robotics and Automation
✓ Internet of Things (IoT)
✓ Academic and Research Institutions
✓ Innovative & Emerging Technologies
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