Agenda Schedule
Thursday, November 7
By the end of 2025 there will be more than 100 billion AI-capable Arm-powered devices in the world, all powered by the brightest leaders in this partner ecosystem. This enormous opportunity presents new challenges that we must come together to resolve ; delivering AI everywhere is bringing in a new level of power consumption and compute complexity that requires us to rethink everything.
The solution requires a platform that seamlessly combines power efficiency, optimized software, and integrated solutions that help bring your ideas to market faster. Join us as we highlight the technologies, solutions and the opportunity underpinning the Arm platform, and how together, we will build the AI compute platform for the future.
Takayuki Yokoyama hosts a panel discussion with Toshio Yoshida, VP, Executive Director, Fujitsu Limited and Shojiro Nakao, R&D Division Assistant Director, Panasonic Automotive Systems Co., Ltd.In this session, Arm will conduct the conversation with the partners to explore the AI opportunities in their own domains and share how they are going to address them with their AI strategies.
Semiconductors are key technologies indispensable for the realization of digitalization and decarbonization. Moreover, from the perspective of economic security, they are strategic products that significantly influence Japan's overall industrial competitiveness. It is crucial for our country's economic future growth to capture the increasing global demand of semiconductor. Today, countries worldwide are striving to secure semiconductor manufacturing capabilities, investing massive amounts of government funds into the semiconductor industry on a scale that was once unthinkable. In other words, the world has entered an era of international competition in industrial policy. Japan is also providing robust support to the semiconductor industry, realizing several large-scale investment projects in collaboration with the world's top players. These include the construction of an advanced logic semiconductor factory in Kumamoto in collaboration with Taiwan's TSMC, and the Rapidus Project, which aims for mass production of the most cutting-edge semiconductors in collaboration working together with IBM. Through these initiatives, we have not only filled the missing pieces in semiconductor technology that our country has lacked and strengthened the entire industry's supply chain, but also begun to create significant ripple effects on related industries and a virtuous cycle of investment and wage increases. We intend to continue and accelerate this trend in the future.
time |
track a
|
|
---|---|---|
13:00 - 13:30 | Arm Neoverse - Future of Infrastructure is Built on Arm | |
13:35 - 14:05 | Arm Neoverse - Future of Infrastructure is Built on Arm | |
14:05 - 14:25 | Networking/Booth Visits | |
14:25 - 14:55 | Accelerating Innovation on Arm with Subscription Access | |
15:05 - 15:35 | Socionext's Solution SoC Leveraging Arm CSS | |
15:35 - 15:55 | Networking/ Booth Visits | |
15:55 - 16:25 | Automotive Compute Systems and the Journey to Chiplets | |
16:30 - 17:00 | TSMC Open Innovation Platform Updates |
time |
track b
|
|
---|---|---|
13:00 - 13:30 | Architecting for CPU Performance to Enable AI Workloads Everywhere on Arm | |
13:35 - 14:05 | AI in Mobile and Consumer Devices, Today and Tomorrow | |
14:05 - 14:25 | Networking/Booth Visits | |
14:25 - 14:55 | Traveling in an AI-Enabled Car | |
15:05 - 15:35 | Enabling a Software-Defined Automotive Edge with VirtIO based Device Virtualization | |
15:35 - 15:55 | Networking/ Booth Visits | |
15:55 - 16:25 | AI HPC Server’s Latest Lego-like Architecture ─ Arm CSS V3, Chiplet and UCIe | |
16:30 - 17:00 | Generative AI: From Hype to Deployment with Arm Neoverse |
time |
track c
|
|
---|---|---|
13:00 - 13:30 | Automotive Architecture Transition: Delivering on the Passenger Experiences of the Future | |
13:35 - 14:05 | Accelerating Automotive System Development with Virtual Prototyping | |
14:05 - 14:25 | Networking/Booth Visits | |
14:25 - 14:55 | Evolution by Arm Technology : MPU/MCU Products from Renesas Utilizing cutting-edge Arm Technology to Deliver Wide Range of AI/ML Solutions | |
15:05 - 15:35 | Changes to Arm Compiler for Embedded | |
15:35 - 15:55 | Networking/ Booth Visits | |
15:55 - 16:25 | Driving the Transition to High-Performance IoT Platforms | |
16:30 - 17:00 | Unlocking AI and Generative AI Use Cases on Edge IoT Devices |
time |
track d
|
|
---|---|---|
13:00 - 13:30 | Accelerate the Execution of Generative AI Workloads on Arm-based Hardware | |
13:35 - 14:05 | LLM Inference on Android with KleidiAI, MediaPipe, and XNNPACK | |
14:05 - 14:25 | Networking/Booth Visits | |
14:25 - 14:55 | Benchmarking Machine Learning Workloads on Arm Servers | |
15:05 - 15:35 | Moving on up to Armv9: The Next-level of Performance and Features | |
15:35 - 15:55 | Networking/ Booth Visits | |
15:55 - 16:25 | AI at the Edge: Building Secure, Compliant Devices with Linaro and ONELab | |
16:30 - 17:00 | Enabling the Windows on Arm Ecosystem: an IBV and OEM Perspective |