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Evangelos Eleftheriou

Co-Founder and CTO
Axelera AI

Evangelos Eleftheriou, an IEEE and IBM Fellow, is the Chief Technology Officer and co-founder of Axelera AI, a best-in-class performance company that develops a game-changing hardware and software platform for AI.

As a CTO, Evangelos oversees the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase Axelera AI’s business.

Evangelos Eleftheriou

Co-Founder and CTO
Axelera AI

Evangelos Eleftheriou

Co-Founder and CTO
Axelera AI

Evangelos Eleftheriou, an IEEE and IBM Fellow, is the Chief Technology Officer and co-founder of Axelera AI, a best-in-class performance company that develops a game-changing hardware and software platform for AI.

As a CTO, Evangelos oversees the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase Axelera AI’s business.

Before his current role, Evangelos worked for IBM Research – Zurich, where he held various management positions for over 35 years. His outstanding achievements led him to become an IBM Fellow, which is IBM’s highest technical honour.

In 2002, Evangelos became a Fellow of the IEEE, and later in 2003, he was co-recipient of the IEEE ComS Leonard G. Abraham Prize Paper Award. He was also co-recipient of the 2005 Technology Award of the Eduard Rhein Foundation. In 2005, he was appointed an IBM Fellow and inducted into the IBM Academy of Technology. In 2009, he was co-recipient of the IEEE Control Systems Technology Award and the IEEE Transactions on Control Systems Technology Outstanding Paper Award. In 2016, Evangelos received an honoris causa professorship from the University of Patras, Greece. In 2018, he was inducted into the US National Academy of Engineering as Foreign Member. Evangelos has authored or coauthored over 250 publications and holds over 160 patents (granted and pending applications).

His primary interests lie in AI and machine learning, including emerging computing paradigms such as neuromorphic and in-memory computing.

Evangelos holds a PhD and a Master of Eng. degrees in Electrical Engineering from Carleton University, Canada, and a BSc in Electrical & Computer Engineering from the University of Patras, Greece.

HPRI South 2025 WIIFT Speaker Doc

In this session, we'll explore the transformative potential of confidential computing as a pervasive Privacy Enhancing Technology (PET). The discussion will delve into real-world use cases across various industries, illustrating how confidential computing is enabling secure data processing in sensitive environments. Additionally, we will examine the future trajectory of this technology, identifying key trends, emerging challenges, and strategic moves that industry players can adopt to harness its full potential. This session aims to provide a comprehensive understanding of the current landscape and future direction of confidential computing, offering valuable insights for stakeholders looking to integrate this technology into their privacy frameworks.

Author:

Mike Bursell

Executive Director
Confidential Computing Consortium

Mike Bursell

Executive Director
Confidential Computing Consortium

Author:

Mike Bursell

Executive Director
Confidential Computing Consortium

Mike Bursell

Executive Director
Confidential Computing Consortium

Samsung Electronics to Launch Appliances with On-Device AI Next Year

On-device AI
AI
AI Hardware
Samsung Electronics plans to incorporate on-device artificial intelligence (AI) into its appliances starting next year. Following the launch of its first AI smartphone, the Galaxy S24 earlier this year, Samsung aims to rapidly dominate the “hyper-connected ecosystem” spanning both appliances and smartphones, positioning itself strongly against Apple in the AI competition.

HPE CEO Unveils 'Simple' AI Hardware Aimed to Help Businesses

AI
AI Hardware
(Reuters) - Hewlett Packard Enterprise CEO Antonio Neri pitched a new line of hardware, software and services to businesses interested in deploying various forms of artificial intelligence at its Las Vegas conference on Tuesday.

The Future of Consumer Edge-AI Computing

Edge AI
In the last decade, Deep Learning has rapidly infiltrated the consumer end, mainly thanks to hardware acceleration across devices. However, as we look towards the future, it is evident that isolated hardware will be insufficient. Increasingly complex AI tasks demand shared resources, cross-device collaboration, and multiple data types, all without compromising user privacy or quality of experience.

How edge AI can power real-time decision making

AI
Edge AI
With data generation expected to reach 175 zettabytes by 2025, the demand for real-time processing has never been bigger and is expected to grow. Globally, the edge artificial intelligence (AI) market was valued at $20 billion in 2023 and is projected to grow to $186 billion by 2032, due to the fact that edge AI enables near-instant data processing and analysis.