Agenda

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Tracks

A

Track 1: Siskiyou/Donner

B

Track 2: Sierra

C

Track 3: San Jose/Santa Clara
Time
Session Title
8:00 a.m.
Registration, Breakfast, and Technology Showcase: Bayshore Foyer and Cascade
General Sessions: Siskiyou/Donner
8:30 a.m.
Keynote: Beyond the "I" in AI
9:05 a.m.
Keynote: Next-Generation Wi-Fi Networks for Time-Critical Applications
9:45 a.m.
What's New in MATLAB and Simulink
10:15 a.m.
Break and Technology Showcase
Track 1: Siskiyou/Donner
Track 2: Sierra
Track 3: San Jose/Santa Clara
11:00 a.m.
A Exploring Microsoft Machine Teaching Online Service for Building Autonomous Systems Using Simulink Models
B On the New Generation of Bio-Inspired Robots
C Leveraging MATLAB and Simulink in Building Battery SOH
11:30 a.m.
A Model-Based Hyper Scalable Assessment of Automated Vehicle Functions
B Design for AMI - A New Integrated Workflow for Modeling High-Speed PAM4 SerDes Systems
C Full Vehicle Simulation for Electrified Powertrain Selection
12:00 p.m.
A CAEML Research in Hardware Design and Optimization Using Machine Learning
B Verify 5G System Performance Using Xilinx RFSoC and Avnet RFSoC Development Kit
C Design and Test of Automated Driving Algorithms
12:30 p.m.
Lunch and Technology Showcase: Bayshore Foyer and Cascade
Women in Tech Ignite Lunch and Networking: Carmel/Monterrey
1:30 p.m.
A Insights into MATLAB — Memory Handling and Datatypes
B RF Design and Test Using MATLAB and NI Tools
C Adopting Model-Based Design for FPGA, ASIC, and SoC
2:00 p.m.
C Making Software Safe and Secure with Team Collaboration
2:30 p.m.
A Deep Learning and Reinforcement Learning Workflows in AI
B Wired Communications Systems Modeling and Analysis
C Planning Simulink Model Architecture and Modeling Patterns for ISO 26262 Compliance
3:00 p.m.
Break and Technology Showcase
3:30 p.m.
A AI Techniques in MATLAB for Signal, Time-Series, and Text Data
B Top-Down Modeling and Analysis of Analog Mixed-Signal Systems
C Toolchain Definition and Integration for ISO 26262-Compliant Development
4:00 p.m.
A Sensor Fusion and Tracking for Autonomous Systems
B Understanding and Modeling the 5G NR Physical Layer
C Developing Battery Management Systems Using Simulink
4:30 p.m.
A Deploying Deep Neural Networks to Embedded GPUs and CPUs
5:00 p.m.
A Digital Twins for Smart Manufacturing
5:30 p.m.
Reception: Cascade
6:00 p.m.
End of Day