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NATO Innovation Fund Co-Leads €25M Series A In Photonics Startup Camgraphic

The NATO Innovation Fund (NIF) has co-led a €25 million Series A funding round for UK-based photonics startup Camgraphic, alongside Italy’s CDP Venture Capital, Sony Innovation Fund, and Berlin’s Join Capital. Additional investors in the round include Bosch Ventures, Frontier IP Group, and Indaco Venture Partners.

Camgraphic is developing innovative graphene microchips that use both light and electrical signals to transmit data, offering a faster, more energy-efficient alternative to traditional silicon-based chips. The company’s technology is poised to enhance a variety of applications, including AI, high-performance computing, autonomous vehicles, satellite communications, and radar imaging.

The funds raised will support the expansion of Camgraphic’s R&D operations in Pisa and the establishment of a pilot manufacturing line in Milan. CEO Ben Jensen revealed that the funding process took eight months to close, with the round raised by Camgraphic’s parent company, 2D Photonics Spa. Jensen anticipates the first commercial applications of their graphene photonic technology to be available within a few years.

The Advantages Of Graphene In Photonics

Photonics refers to the technology that converts data into light signals to transmit over fiber-optic cables. While silicon photonics is currently used in systems like AI, high-performance computers, and 5G/6G communications, it has limitations. Silicon photonics faces challenges like a band gap and low extinction ratio, which result in distorted signals and high latency.

Jensen explains, “Silicon photonics has a finite future. With the rapid rise in data consumption for AI and 5G/6G, the existing material is being stretched to its limits.” Graphene, on the other hand, offers a gapless structure that eliminates these issues, providing higher scalability and significantly reducing latency and bandwidth problems. This makes graphene a more cost-effective and efficient material for photonic circuits.

Plans For Growth

With the new funding, Camgraphic plans to scale its technology, establish manufacturing partnerships and expand its workforce. The company is currently looking to hire a chief financial officer and aims to grow its team from 17 to 34 people within the next year, with further expansion to 68 employees over the next two years.

Notable figures who joined the company’s board as part of this funding round include Ben Balmforth from NATO Innovation Fund, Antonio Avitabile from Sony Innovation Fund, and Sebastian von Ribbentrop from Join Capital, among others.

As Camgraphic moves towards commercialization, its innovative graphene-based photonics technology has the potential to reshape industries reliant on data transmission, from AI to communications and beyond.

AI’s Economic Benefits Surpass Emissions Concerns According to IMF

The International Monetary Fund (IMF) has recently highlighted the potential economic benefits of artificial intelligence (AI), projecting a global output boost of approximately 0.5% per year from 2025 to 2030. This growth is expected to surpass the environmental costs associated with higher carbon emissions from AI-driven data centers.

The report, showcased at the IMF’s spring meeting, emphasizes the need for equitable distribution of these economic gains while managing the adverse effects on our climate. The forecast indicates that AI’s contribution to GDP growth will outweigh the financial impacts of emissions, though it points out the necessity for policymakers and businesses to mitigate societal costs.

Energy Demands and Environmental Footprint

AI is set to escalate global electricity demand, potentially reaching 1,500 terawatt-hours (TWh) by 2030, mirroring the energy consumption of countries like India today.

The increasing demand for data processing capacity could result in higher greenhouse gas emissions, but the AI industry aims to offset these with advancements in renewable energy technologies.

AI: A Driver for Energy Efficiency?

Analysts suggest that AI could potentially reduce carbon emissions through improved energy efficiency, fostering advancements in low-carbon technologies across sectors such as power, food, and transport. Grantham Research Institute stresses the significance of strategic action from governments and industries to facilitate this transition.

The role of AI in the global economy continues to evolve, stirring debates not only about its economic potential but also its environmental impact.

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