TRACK B: Architecting Autonomous Vehicles: Getting Software to Work Across Hybrid Environments | Kisaco Research
Session Topics: 
Edge AI
Enterprise AI
ML at Scale
Novel AI Hardware
Systems Design
Speaker(s): 

Author:

Girish Venkataramani

Senior Director, ML Accelerators
Cruise

Girish Venkataramani

Senior Director, ML Accelerators
Cruise

Author:

Ravi Narayanaswami

Principal MLA Architect
Cruise

Ravi Narayanaswami

Principal MLA Architect
Cruise

Author:

Prasun Raha

Head of HW Platform Architecture
Rivian

Prasun Raha

Head of HW Platform Architecture
Rivian

Author:

Nikunj Kotecha

Solutions Architect
BrainChip

Nikunj Kotecha is a Machine Learning Solutions Architect at BrainChip Inc. Currently, he works on developing and optimizing Machine Learning algorithms for the AkidaTM neuromorphic hardware. He also demonstrating capabilities of AkidaTM to client and supports with their neuromorphic solutions for AkidaTM. He has a Master of Science in Computer Science, where he specialized in concepts of Artificial intelligence with Deep Learning algorithms. At the time, he was a part of the Machine Learning lab and has published technical papers, supported research into different avenues of AI. He published research on Cross-Modal Fusion with Transformer architecture for Sign Language translation during the completion of his Masters. He has also worked at Oracle, where he build and integrated Machine Learning solutions to provide operational benefits of using Oracle Clinical Trial software.

Nikunj Kotecha

Solutions Architect
BrainChip

Nikunj Kotecha is a Machine Learning Solutions Architect at BrainChip Inc. Currently, he works on developing and optimizing Machine Learning algorithms for the AkidaTM neuromorphic hardware. He also demonstrating capabilities of AkidaTM to client and supports with their neuromorphic solutions for AkidaTM. He has a Master of Science in Computer Science, where he specialized in concepts of Artificial intelligence with Deep Learning algorithms. At the time, he was a part of the Machine Learning lab and has published technical papers, supported research into different avenues of AI. He published research on Cross-Modal Fusion with Transformer architecture for Sign Language translation during the completion of his Masters. He has also worked at Oracle, where he build and integrated Machine Learning solutions to provide operational benefits of using Oracle Clinical Trial software.

Author:

David Tai

Senior Staff Engineer
DiDi Autonomous Driving

David Tai

Senior Staff Engineer
DiDi Autonomous Driving