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SEALSQ Decentralizes AI Development With $10M Post-Quantum Semiconductor Investment, Promoting Sustainable AI Future; DeepSeek Challenges AI Status Quo With Cost-Effective LLM, Highlighting Need for Decentralized Approach

SEALSQ Decentralizes AI Development With $10M Post-Quantum Semiconductor Investment, Promoting Sustainable AI Future; DeepSeek Challenges AI Status Quo With Cost-Effective LLM, Highlighting Need for Decentralized Approach

SEALSQ通過1000萬的後量子半導體投資,實現人工智能的發展去中心化,推動可持續的人工智能未來;DeepSeek以具有成本效益的大型語言模型挑戰人工智能現狀,強調去中心化方法的必要性。
Benzinga ·  01/28 15:48

SEALSQ Decentralizes AI Development with Cost-Effective Post-Quantum Semiconductors, Paving the Way for a Decentralized and Sustainable AI Future

SEALSQ通過成本效益高的後量子半導體去中心化人工智能開發,爲去中心化和可持續的人工智能未來鋪平道路

SEALSQ Corp (NASDAQ:LAES) ("SEALSQ" or "Company"), a company specializing in Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced that it decentralizes AI development with cost-effective post-quantum semiconductors, paving the way for a decentralized and sustainable AI future.

SEALSQ CORP(納斯達克:LAES)("SEALSQ"或"公司")是一家專注於半導體、PKI和後量子技術硬件及軟體產品的公司,今天宣佈利用成本效益高的後量子半導體去中心化人工智能開發,爲去中心化和可持續的人工智能未來鋪平道路。

To realize the potential of decentralized AI, robust hardware capable of supporting secure, efficient, and scalable systems is essential. SEALSQ's post-quantum semiconductors are at the forefront of this technological evolution. SEALSQ has developed post-quantum semiconductors with an R&D investment of approximately $10 million, achieving results comparable to those of tech giants that have invested a lot more on R&D development.

要實現去中心化人工智能的潛力,需要具備支持安全、高效和可擴展系統的強大硬件。SEALSQ的後量子半導體正處於這一技術進步的最前沿。SEALSQ的後量子半導體經過約1000萬的研發投資,取得了與那些在研發開發上投入更多資金的科技巨頭相當的成果。

The emergence of China's DeepSeek, a highly efficient and cost-effective large language model (LLM), presents a pivotal moment to reassess how AI is developed, deployed, and sustained. DeepSeek's open-source model has achieved near-parity with GPT-4-level performance at a fraction of the computing power and training costs, challenging the status quo of resource-intensive AI. This shift calls for a decentralized approach to AI development and underscores the need for robust, efficient, and secure technologies like post-quantum semiconductors.

中國的DeepSeek出現了,這是一種高效且成本效益顯著的大型語言模型(LLM),這是重新評估人工智能的開發、部署和可持續性的重要時刻。DeepSeek的開源模型在計算能力和訓練成本上僅需較小部分,已實現接近於GPT-4級的表現,這挑戰了資源密集型人工智能的現狀。這一轉變呼喚去中心化的人工智能開發方式,並強調了像後量子半導體這樣的強大、高效和安全科技的必要性。

譯文內容由第三人軟體翻譯。


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