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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
... read more

Mike Bursell

Executive Director
Confidential Computing Consortium

Author:

Mike Bursell

Executive Director
Confidential Computing Consortium
... read more

Mike Bursell

Executive Director
Confidential Computing Consortium

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

Submitted by Priya Khosla on June 27, 2024 - 6:05am
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.

The Future of Consumer Edge-AI Computing

Submitted by Priya Khosla on June 27, 2024 - 5:50am
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

Submitted by Priya Khosla on June 27, 2024 - 5:44am
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.

Ceva enhances Edge AI with TinyML NPUs for AIoT devices

Submitted by Priya Khosla on June 27, 2024 - 5:33am
AI
Ceva, the pioneering licensor of silicon and software IP that enables Smart Edge devices to connect, sense, and infer data more reliably and efficiently, announces that it has extended its Ceva-NeuPro family of Edge AI NPUs with the introduction of Ceva-NeuPro-Nano NPUs.

The Rise of On-Device AI: Faster, More Secure, and Cost-Effective Solutions Needed

Submitted by Priya Khosla on June 27, 2024 - 5:24am
AI
Semiconductors
On-device AI
AI Hardware
The era of On-Device AI has officially begun, marking a significant shift in the landscape of artificial intelligence technology. This new phase is characterized by the emergence of innovative products equipped with On-Device AI, such as Samsung's Galaxy S24 series, Apple Intelligence, and Microsoft's Copilot+PC. These advancements aim to address the limitations of traditional cloud-based AI systems, which have been the backbone of popular services like OpenAI's ChatGPT, Google's Gemini, and Microsoft's Copilot.