AI Agents Need Goals


Experts At The Table: Definitions and goals matter when it comes to using AI effectively, and it has to be tightly reined in to be effective. Semiconductor Engineering sat down with a panel of experts to discuss these issues and others, including Johannes Stahl, senior director of product line management for the Systems Design Group at Synopsys; Michael Young, director of product marketing for ... » read more

Leveraging Foundation IP For Low-Power AI Processor Development


Artificial intelligence (AI) has become widespread in recent years, quickly establishing itself as a groundbreaking technology. AI operates on machine learning (ML) algorithms, which demand substantial computational power. Traditionally, designers have utilized graphics processing units (GPUs) to run these ML algorithms. Initially created for graphics rendering, GPUs have shown to be highly eff... » read more

Are You Ready For AI?


The semiconductor industry sits at the heart of the artificial intelligence revolution, providing the essential computational foundation that powers AI's rapid evolution. However, new research suggests that while AI adoption is accelerating globally, strategic implementation remains a significant challenge across industries. According to the recently released Arm AI Readiness Index Report, 8... » read more

Implementing AI Activation Functions


Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can be fussy to build in silicon. Is it better to have a CPU calculate them? Should hardware function units be laid down to execute them? Or would a lookup table (LUT) suffice? Most architectures inc... » 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

2030 Data Center AI Chip Winners: The Trillion Dollar Club


At the start of 2025, I believed AI was overhyped, ASICs were a niche, and a market pullback was inevitable. My long-term view has changed dramatically. AI technology and adoption is accelerating at an astonishing pace. One of the GenAI/LLM leaders, or Nvidia, will be the first $10 Trillion market cap company by 2030. Large language models (LLMs) are rapidly improving in both capability and ... » read more

AI For The Edge: Why Open-Weight Models Matter


The rapid advancements in AI have brought powerful large language models (LLMs) to the forefront. However, most high-performing models are massive, compute-heavy, and require cloud-based inference, making them impractical for edge computing. The recent release of DeepSeek-R1 is an early, but unlikely to be the only, example of how open-weight AI models, combined with efficient distillation t... » read more

The Rise Of Generative AI On The Edge


Artificial intelligence (AI) and machine learning (ML) have undergone significant transformations over the past decade. The revolution of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) is evolving toward the adoption of transformers and generative AI (GenAI), marking a pivotal shift in the field. This transition is driven by the need for more accurate, efficient, and ... » read more

How Physical AI Is Redefining The Automotive Industry


The automotive world is experiencing a groundbreaking transformation, with technology and AI-driven innovation at its core. Among the most significant advancements is the rise of physical AI, a concept that is redefining the industry from the ground up. Physical AI goes beyond traditional artificial intelligence by enabling autonomous systems to seamlessly perceive, understand, and interact wit... » read more

Times Are Changing For EDA


The EDA industry is about 50 years old, and I see the people responsible for its first generation setting their LinkedIn employment status to 'retired, at home' almost daily. I, for one, have a foot in that camp, but reporting/writing is different than having a full-time job because I can control the time commitment. We have seen many serial entrepreneurs who have created several successful com... » read more

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