Brainchip presenting on day 2 at 2pm..agenda below for...

Brainchip presenting on day 2 at 2pm..agenda below for 24th

Agenda for Day Two: October 24, 2019
View Day One

Clickbelow to view presentation abstract or click here ->to view allabstracts

	9:00am-9:50am	Keynote Session: Challenges and Opportunities of Architecting AI Systems at Data-Center Scale Misha Smelyanskiy, Director of AI System Codesign Group,Facebook There will be a brief Q&A with the speaker.
1	9:50am-10:30am	Session 7: SoCs for Edge Devices As network-edge devices and local clients offload more processing from the network core, chip vendors are striving to meet demands for higher performance within a manageable power envelope. Machine learning and 5G pile even heavier workloads on these systems. This session, moderated by The Linley Group senior analyst Tom R. Halfhill, presents several new products and technologies for higher-performance embedded systems and mobile clients. A Processor for 5G Open RAN Systems Toby Foster, Senior Product Marketing Manager,NXP Introducing Intel Tremont Microarchitecture Stephen Robinson, Senior Principal Engineer – Tremont Architecture,Intel
2	10:30am-10:50am	Break - Sponsored by SiFive
3	10:50am-12:45pm	Session 7: SoCs for Edge Devices (cont.) Scalable IP for High-Performance Configurable SoC Design Krste Asanović, Co-Founder & Chief Architect,SiFive The Next Level of Performance and Energy-Efficient Edge Computing Simon Craske, Lead Embedded Architect and Fellow,Arm Designing a GPU for the 5G Era Kristof Beets, Senior Director of Product Management & Technology Marketing, PowerVR Graphics,Imagination There will be Q&A and a panel discussion featuring above speakers.
4	12:45pm-2:00pm	Lunch - Sponsored by Intel
5	2:00pm-3:30pm	Session 8: AI at the Edge Neural-network accelerators offer numerous options for designing AI-powered edge devices, but selecting the one best suited to a particular application is challenging. Many vendors use purpose-built digital designs, while others are developing neuromorphic architectures modeled after the human brain. This session, moderated by The Linley Group principal analyst Linley Gwennap, will discuss new hardware-software solutions for improving AI performance and power efficiency in edge devices. Edge Inference Architecture for High Throughput at Low Power and Low Cost Cheng Wang, Sr. VP, Software, Architecture, Engineering,Flex Logix A Graph-Based Dataflow Architecture for Executing Neural Networks Dave Fick, CTO and founder,Mythic Introducing Akida: An Event-Based Processor Anil Mankar, Chief Development Officer,Brainchip GrAI One – NeuronFlow Processing for the Edge Jonathan Tapson, Chief Scientific Officer,GrAI Matter Labs
6	3:30pm-3:50pm	Break - Sponsored by SiFive
7	3:50pm-5:00pm	Session 8: AI at the Edge (cont.) Bringing Native AI Processing to the Edge Chien-Ping Lu, CTO,NovuMind There will be Q&A and a panel discussion featuring above speakers.
8	5:00pm	End of Conference