Hardware | Kisaco Research

Hardware

Color: 
#1d3459
Hardware
AI Infrastructure

Author:

Salam Al Mosawi

SVP Growth
Nscale

Salam Al Mosawi

SVP Growth
Nscale
AI Infrastructure
Systems
Hardware
Generative AI

Author:

Manoj Saxena

Founder and Executive Director
Responsible AI Institute

Manoj Saxena

Founder and Executive Director
Responsible AI Institute

Author:

Paul Dongha

Group Head of Data and AI Ethics
Lloyds Banking Group

Paul Dongha

Group Head of Data and AI Ethics
Lloyds Banking Group
TRACK A: HARDWARE & SYSTEMS
Hardware
Systems
AI Infrastructure
Moderator

Author:

Sally Ward-Foxton

Senior Reporter
EETimes

Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

Sally Ward-Foxton

Senior Reporter
EETimes

Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

Author:

Stylianos Venieris

Senior Research Scientist
Samsung AI

Stylianos Venieris

Senior Research Scientist
Samsung AI

Author:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

Author:

Phil Burr

Head of Product
Lumai

Phil Burr is Head of Product at Lumai where he is focused on bringing the world’s fastest and most energy efficient datacentre AI accelerator to market.  Phil has over 25 years of experience in global product management, go-to-market and leadership roles within leading semiconductor and technology companies, and a proven track record of building and scaling products and services. Phil’s previous experience includes leadership roles at Arm, indie Semiconductor, Mentor Graphics (now part of Siemens) and The Technology Partnership.

Phil Burr

Head of Product
Lumai

Phil Burr is Head of Product at Lumai where he is focused on bringing the world’s fastest and most energy efficient datacentre AI accelerator to market.  Phil has over 25 years of experience in global product management, go-to-market and leadership roles within leading semiconductor and technology companies, and a proven track record of building and scaling products and services. Phil’s previous experience includes leadership roles at Arm, indie Semiconductor, Mentor Graphics (now part of Siemens) and The Technology Partnership.

Author:

Jake Kochnowicz

VP Product Management
Imagintation Technologies

Jake Kochnowicz

VP Product Management
Imagintation Technologies
TRACK A: HARDWARE & SYSTEMS
Hardware
AI Infrastructure

Author:

Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

Building AI infrastructure for both research and user-facing products, and bridging the gap between

TRACK A: HARDWARE & SYSTEMS
Hardware
Systems

Author:

Dylan Curley

Engineering Manager
Google

Dylan Curley has spent the majority of his career in AI from a software engineering background. He focuses on large scale AI systems infrastructure, automation, scaling, and reliability. These days Dylan manages a team of SREs (reliability engineers) at Google, who are responsible for the vast majority of AI systems across Alphabet including launching & operating the latest advances in Generative AI (Bard, Workspace, Search, YouTube, etc). He has also spent time working on AI for medical research and astrophysics, and advises startups in AI.

Dylan Curley

Engineering Manager
Google

Dylan Curley has spent the majority of his career in AI from a software engineering background. He focuses on large scale AI systems infrastructure, automation, scaling, and reliability. These days Dylan manages a team of SREs (reliability engineers) at Google, who are responsible for the vast majority of AI systems across Alphabet including launching & operating the latest advances in Generative AI (Bard, Workspace, Search, YouTube, etc). He has also spent time working on AI for medical research and astrophysics, and advises startups in AI.

TRACK B: INDUSTRIAL EDGE AI INFRASTRUCTURE
Edge AI
AI Infrastructure
Systems
Hardware

Author:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.

After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.

Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here

TRACK A: SERVER/CLOUD AI INFRASTRUCTURE
AI Infrastructure
Generative AI
Hardware
Software

Author:

Dimitri Metzger

Digital, Data, & IT for Medical AI R&D
Merck

Dimitri Metzger

Digital, Data, & IT for Medical AI R&D
Merck

Author:

Asim Shah

Generative AI Research Engineering Lead
Citi Bank

Asim Shah

Generative AI Research Engineering Lead
Citi Bank

Author:

Euan Wielewski

Machine Learning Lead
NatWest

Euan Wielewski

Machine Learning Lead
NatWest

Author:

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Jürgen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric