Impact of AI On IP And Chip Design


By Global Semiconductor Alliance (GSA) In conjunction with the Global Semiconductor Alliance's IP Interest group, Expedera explores the impact of AI on intellectual property (IP) and Chip Design, providing comprehensive details and multifaceted data to cover all aspects of the semiconductor industry. It highlights AI growth trends, market predictions, and current silicon chip design innovati... » read more

Report: The Future of AI Processing


AI is now emerging in everyday use cases thanks to advances in foundational models, powerful chip technology, and abundant data. As a result, new approaches in AI compute are required to deploy these advanced use cases with minimal effort. This report features insights on how to move AI forward from industry leaders at AWS, Meta, Samsung and Arm, and includes research from MIT Technology Rev... » read more

Arm AI Readiness Index


The Arm AI Readiness Index report is a comprehensive analysis of global AI readiness and implementation for enterprises worldwide. Drawing on survey data from business leaders across eight countries, the report offers a range of insights exploring the global opportunities and challenges around AI, including: Business adoption Technology requirement The policy and regulatory landscape... » read more

Discovering Digital Twins: A Complete Guide


As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, their integration with simulation is amplifying the capabilities of digital twins. AI/ML, simulation, and reduced-order modeling (ROM) technologies combine to create hybrid digital twins—virtual replicas that blend data-driven insights with the accuracy of physics-based models. This powerful approa... » read more

GenAI for Analog IC Design (McMaster University)


A new technical paper titled "Generative AI for Analog Integrated Circuit Design: Methodologies and Applications" was published by researchers at McMaster University. Abstract "Electronic Design Automation (EDA) in analog Integrated Circuits (ICs) has been the focus of extensive research; however, unlike its digital counterpart, it has not achieved widespread adoption. In this systematic re... » read more

Silicon Reimagined: New Foundations For The Age of AI


The semiconductor industry is undergoing a pivotal transformation driven by the rise of artificial intelligence (AI) and the slowing of traditional Moore’s Law scaling.  In this comprehensive 42 page report, several key trends shaping the industry’s future are highlighted. The push toward more specialized architectures tailored for specific workloads, particularly in AI. The critic... » read more

Cradle-To-Grave Analysis Of The Carbon Footprint of AI Hardware (Google)


A new technical paper titled "Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends" was published by researchers at Google. Abstract "Specialized hardware accelerators aid the rapid advancement of artificial intelligence (AI), and their efficiency impacts AI's environmental sustainability. This study presents the first publication of a comprehensive AI acc... » read more

Accelerating Artificial Intelligence Innovation With Concurrent Design Engineering


Artificial intelligence (AI) is transforming every industry and creating new demands for computing performance, efficiency, and scalability. Designers are creating and deploying AI-dedicated chips to meet these challenges and enable faster and smarter applications across various domains, such as cloud, edge, mobile, automotive, and the Internet of Things (IoT). However, designing AI chips is no... » read more

Current and Emerging Heterogeneous Integration Technologies For High-Performance Systems (Georgia Tech)


A technical paper titled "Heterogeneous Integration Technologies for Artificial Intelligence Applications" was published by Georgia Tech. Abstract "The rapid advancement of artificial intelligence (AI) has been enabled by semiconductor-based electronics. However, the conventional methods of transistor scaling are not enough to meet the exponential demand for computing power driven by AI. ... » read more

The Impact Of Simulation On The Carbon Footprint of Wafer Fab Equipment R&D


A new technical paper titled "Achieving Sustainability in the Semiconductor Industry: The Impact of Simulation and AI" was published by researchers at Lam Research. Abstract "Computational simulation has been used in the semiconductor industry since the 1950s to provide engineers and managers with a faster, more cost-effective method of designing semiconductors. With increased pressure in t... » read more

← Older posts