AI just cracked the chip design bottleneck
Original headline: Cognichip reveals how its new AI-assisted program can slash chip design times from months to days — automating labor-intensive tasks cuts design time down, Chief Product Officer explains — tomshardware.com
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Cognichip has launched Artificial Chip Intelligence (ACI), a specialized AI platform designed to automate major portions of the semiconductor design process. The system is built on proprietary models trained on what the company claims is the 'industry’s largest dataset' of semiconductor physics and design principles, including over ten million synthetic and real-world training samples. It uses a 'self-learning flywheel' to continuously integrate specifications, register-transfer level (RTL) code, and verification results to optimize chips for power, performance, and area (PPA) targets.
The platform automates labor-intensive tasks like RTL generation, verification, and PPA optimization, promising to slash design cycles from months to days. This allows human engineers to focus on high-level architecture and product requirements while AI handles implementation details. The breakthrough represents a fundamental acceleration in a critical, historically manual engineering bottleneck, potentially reshaping how complex chips are built.
Read the original at tomshardware.com
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