SEALSQ Corp announces its entry into the AI chip market, focusing on the integration of artificial intelligence and the Internet of Things to enhance digital transformation and security in the quantum era.

SEALSQ Enters AI Chip Market with Ambitious AIoT Strategy

Geneva, Switzerland – SEALSQ Corp, a firm known for its work in semiconductors, PKI, and post-quantum technology hardware and software, has announced its entry into the artificial intelligence chip market. The company’s new strategy focuses on the convergence of AI and the Internet of Things (IoT) under the AIoT (Artificial Intelligence for Internet of Things) banner.

Emerging AIoT Technology

Integrating AI and IoT is not new, but SEALSQ notes recent technological advances have accelerated adoption. These include improved connectivity, cloud computing, machine learning, analytics, and the availability of low-cost sensors. Ai enables systems to understand their surroundings, solve problems, and act autonomously, addressing the increasing challenges of data absorption, interpretation, and decision-making across industries.

Central to SEALSQ’s approach is the fusion of advanced semiconductors, smart sensors, AI, and comprehensive data cloud technology. This integration aims to create a robust platform for digital transformation, enhancing efficiency and innovation for its clients. The SEALSQ Ecosystem, which currently secures over 1.6 billion IoT devices through SEALSQ VaultIC, is expected to expand further with the introduction of 5G technology.

Future Development and Security

SEALSQ’s vision extends to integrating comprehensive post-quantum chips into mainstream computing and AI by 2028, significantly enhancing AI efficiency and ensuring security in a post-quantum world. The company’s high-level goals include:
* Achieving a 50x improvement in AI training and inferencing times.
* Ensuring 99.999% quantum-resistant security.
* Integrating SEALSQ chips into 70% of AI-driven technologies, from home automation to autonomous vehicles.

Strategic Initiatives

The company has outlined several strategic initiatives:
1. Quantum AI Accelerator: Collaborate globally with AI research institutions to leverage quantum computing in AI advancements.
2. Ultra-Secure Quantum Networking: Partner with major telecom providers to implement quantum networking for secure communication.
3. Quantum-Optimised Industry Solutions: Develop quantum-enhanced products for sectors like automotive and home automation.
4. Global Quantum Security Alliance: Form a coalition to set post-quantum security standards.
5. Quantum Sensing: Integrate quantum-enhanced sensors into daily technology.

Implementation Roadmap

SEALSQ’s plan for the next five years includes:
1. Years 1-2: Focus on R&D for post-quantum capabilities and launch the Quantum AI Accelerator.
2. Years 2-3: Release developer kits for SEALSQ chips, launch quantum-optimised products, and host conferences.
3. Years 3-4: Expand internationally, start the Global Quantum Security Alliance, and collaborate with educational institutions.
4. Years 4-5: Achieve extensive integration of SEALSQ chips across AI technologies and update to keep ahead of quantum technology advancements.

Market Trends and Projections

The broader IoT market continues to grow. The “State of IoT—Spring 2023” report by IoT Analytics highlighted an 18% increase in global IoT connections in 2022, totalling 14.3 billion active endpoints. This number is projected to reach 29 billion by 2027. The integration of AI with IoT (AIoT) is seen as a powerful development, enhancing the functionality and efficiency of devices through autonomous decision-making and predictive maintenance.

SEALSQ’s entry into the AI market with a focus on AIoT aims to position the company at the forefront of this digital transformation, addressing the needs for better data interpretation and decision-making capabilities in various industries. As the company embarks on this ambitious endeavour, its commitment to innovation and security in the quantum era remains a core focus.

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Ivan Massow Senior Editor at AI WEEK, Ivan, a life long entrepreneur, has worked at Cambridge University's Judge Business School and the Whittle Lab, nurturing talent and transforming innovative technologies into successful ventures.

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