This MIT Technology Review article highlights the critical role of materials science in advancing AI technology as the semiconductor industry approaches the physical and economic limits of Moore’s Law. It emphasizes that traditional approaches to chip miniaturization are becoming unsustainable, with AI’s computing demands doubling every six months since 2010. The article underscores the need for innovative materials and fabrication techniques to sustain progress. Advanced materials enable developments such as heterogeneous integration and photonic chips while paving the way for transformative paradigms like quantum and neuromorphic computing. These technologies, inspired by biology and quantum mechanics, promise to overcome current limitations in energy efficiency and scalability, driving the next phase of AI and computing advancements. Materials science is positioned as a cornerstone in producing next-generation semiconductors and unlocking the future of AI.
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Best regards,
Dr. Gabriele Mogni
Technical Consultant and EU Representative of Virtual Lab Inc., the parent company of the Materials Square platform
Website: Home | Virtual Lab Inc.
Email: gabriele@simulation.re.kr
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