AI/ML IoT Development Training: Works With 2022
Machine learning (ML) technology is fast-moving and constantly evolving. To meet the demands for lower power consumption and address size constraints in consumer devices, small, integrated development solutions are needed to take ML capabilities to the edge while remaining feature rich.
Check out the courses below to learn more about bringing ML to edge IoT applications to reduce bandwidth requirements, save power, and increase a device’s ability to make smarter decisions.
AI/ML IoT Sessions:
1. AIML-101: TinyML Applications with Silicon Labs Wireless SoCs
2. AIML-102: ML Workflow and Software Development Tools
3. AIML-2O1: Rapid VUI Prototyping with Sensory’s VoiceHub on SILabs
Gecko Family MCU using the XG24 Development Kit
4. AIML-301: Enabling Continuous Learning for ML-based Anomaly
Detection at the Edge
5. AIML-302: Building Multi-Sensor Algorithms for the IoT Edge
with SensiML
Featuring the Following Speakers:
Tamas Daranyi
Product Manager
Silicon Labs
Dan Kozin
Senior Product Manager
Silicon Labs
Jeff Rogers
Vice President
of Sales
Sensory
Jenny Plunkett
Senior Developer Relations Engineer
Edge Impulse
Chris Rogers
CEO
SensiML
AI/ML IoT Development Training: Works With 2022
Machine learning (ML) technology is fast moving and constantly evolving. To meet the demands for lower power consumption and address size constraints in consumer devices, small, integrated development solutions are needed to take ML capabilities to the edge while remaining feature rich.
Check out the courses below to learn more about bringing ML to edge IoT applications to reduce bandwidth requirements, saves power, and increases a device’s ability to make smarter decisions.
Featuring the Following Speakers:
Tamas Daranyi
Product Manager
Silicon Labs
Dan Kozin
Senior Product Manager
Silicon Labs
Jeff Rogers
Vice President
of Sales
Sensory
Jenny Plunkett
Senior Developer Relations Engineer
Edge Impulse
Chris Rogers
CEO
SensiML