| Page 1481 | Kisaco Research
 

Sebastian Gabor

Founder
Digitail

Sebastian Gabor

Founder
Digitail

Sebastian Gabor

Founder
Digitail
 

Bob Lester

Chief Medical Officer
WellHaven Pet Health

Bob Lester

Chief Medical Officer
WellHaven Pet Health

Bob Lester

Chief Medical Officer
WellHaven Pet Health
 

Susan Paterson

Director
Virtual VetDerms

Susan Paterson

Director
Virtual VetDerms

Susan Paterson

Director
Virtual VetDerms
 

Adele Williams

AI & Clinical Data Consultant
AWX Consultancy

Adele Williams

AI & Clinical Data Consultant
AWX Consultancy

Adele Williams

AI & Clinical Data Consultant
AWX Consultancy
 

Clint Latham, J.D

Director of Veterinary Data Security
Lucca Veterinary Data Security

Clint Latham, J.D

Director of Veterinary Data Security
Lucca Veterinary Data Security

Clint Latham, J.D

Director of Veterinary Data Security
Lucca Veterinary Data Security
 

Charlie Barton

Co-Founder
Virtual Recall

Charlie Barton

Co-Founder
Virtual Recall

Charlie Barton

Co-Founder
Virtual Recall
 

Nuala Summerfield

Co-Founder and Director
Virtual Veterinary Specialists

Nuala Summerfield

Co-Founder and Director
Virtual Veterinary Specialists

Nuala Summerfield

Co-Founder and Director
Virtual Veterinary Specialists
 

Amanda Boag

Group Referral Director
IVC Evidensia

Amanda Boag

Group Referral Director
IVC Evidensia

Amanda Boag

Group Referral Director
IVC Evidensia

Kisaco Leadership Chart on Neuromorphic Processors 2021-22

  • Motivation

    Neuromorphic computing arises out of artificial intelligence (AI) research based on technology that has direct biological links with the human brain. The brain is an analog system that uses electrical spikes to transmit signals between neurons, similarly many vendors that choose the neuromorphic label for their processors use spiking neural networks (SNNs) in an analog system, typically electric circuits. However, other such vendors choose to use digital devices with a SNN, and yet again others use an analog device with non-spiking, continuous value signal neural networks.

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Anna-Katrina Shedletsky

Founder & CEO
Instrumental

Anna-Katrina Shedletsky is the CEO and founder of Instrumental, a manufacturing data company that uses machine learning to find anomalies on consumer electronics assembly lines. She has two degrees in mechanical engineering from Stanford University, and went on to work as a Product Design Engineer at Apple. During her six years there, she designed mechanical components for three iPods and led system product design for the Apple Watch Series 1.

Anna-Katrina Shedletsky

Founder & CEO
Instrumental

Anna-Katrina Shedletsky

Founder & CEO
Instrumental

Anna-Katrina Shedletsky is the CEO and founder of Instrumental, a manufacturing data company that uses machine learning to find anomalies on consumer electronics assembly lines. She has two degrees in mechanical engineering from Stanford University, and went on to work as a Product Design Engineer at Apple. During her six years there, she designed mechanical components for three iPods and led system product design for the Apple Watch Series 1. After spending over 300 days in China finding and fixing issues on manufacturing lines, she started Instrumental to build an intelligent quality system to modernize manufacturing. Instrumental customers range from startups to Fortune 500s and span consumer electronics, apparel and more.