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Core Viewpoint - The article discusses the challenges in chip design due to increasing complexity and physical limitations, emphasizing the need for innovative solutions to bridge the gap between AI software advancements and hardware design processes [1][4]. Group 1: Challenges in Chip Design - The complexity and high customization of chip designs can lead to costs exceeding $100 million per design [3]. - The traditional chip design process can take over three years and requires significant investment and expertise, making it difficult to meet market demands [4]. Group 2: Cognichip's Approach - Cognichip is developing Artificial Intelligence Chips (ACI) that can understand, learn, and solve chip design problems at high speed and with great parallelism [1][4]. - The company aims to create a foundational model based on physical information to enhance parallelism in the design process, reducing design margins [4]. Group 3: Market Opportunities - Cognichip targets three segments of the semiconductor market: established leaders seeking efficiency, mid-tier companies looking for incremental expertise, and startups aiming for rapid market recognition [5]. - The company has secured $33 million in seed funding from investors such as Lux Capital and Mayfield [5].