Do More With Less In Semiconductor Manufacturing


The recent resolution of labor disputes sheds light on a universal concern: the balance between automation and workforce dynamics. These situations mirror a challenge faced in semiconductor manufacturing—embracing AI without displacing the people driving the industry. Moving beyond automation fears US port workers expressed concerns about automation technologies, such as autonomous cranes a... » read more

Accelerating The AI Economy Through Heterogeneous Integration


The world is rapidly transitioning from an internet economy to an AI economy. In the internet economy, we stayed constantly connected to the internet 24/7 through our smartphones, PCs, and IoT devices. However, in the AI economy, every aspect of our lives is interwoven with artificial intelligence. You may already be familiar with AI tools such as ChatGPT or Google Gemini, which answer question... » read more

Integrating Ethernet, PCIe, And UCIe For Enhanced Bandwidth And Scalability For AI/HPC Chips


By Madhumita Sanyal and Aparna Tarde Multi-die architectures are becoming a pivotal solution for boosting performance, scalability, and adaptability in contemporary data centers. By breaking down traditional monolithic designs into smaller, either heterogeneous or homogeneous dies (also known as chiplets), engineers can fine-tune each component for specific functions, resulting in notable im... » read more

Why PCIe And CXL Are Essential Interconnects For The AI Era


As the demand for AI and machine learning accelerates, the need for faster and more flexible data interconnects has never been more critical. Traditional data center architectures face several challenges in enabling efficient and scalable infrastructure to meet the needs of emerging AI use cases. The wide variety of AI use cases translate into different types of workloads. Some require high ... » read more

NPU Acceleration For Multimodal LLMs


Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now efficiently support the computation of weights and propagation of activations through a series of attention blocks. Increasingly, NPUs must be able to process models with multiple input modalities with ac... » read more

The Future Of AI For Games


Earlier this month, I had the pleasure of attending the inaugural AI and Games Conference at Goldsmiths in London, for which Arm was an associate sponsor. Hosted by Dr. Tommy Thompson, and borrowing its name from his AI and Games YouTube channel, the day really delivered on the promise of bringing experts and enthusiasts (and subscribers) together for interesting talks on the intersecti... » read more

Research Bits: Dec. 11


Photonic AI processor Researchers from Massachusetts Institute of Technology (MIT), Enosemi, and Periplous developed a fully integrated photonic processor that can perform all the key computations of a deep neural network optically on the chip. The chip is fabricated using commercial foundry processes and uses three layers of devices that perform linear and nonlinear operations. A particula... » read more

Automotive Design: How AI Is Transforming The Art Of Simulation


The automotive sector is about to experience a major wave of innovation as artificial intelligence (AI) is applied to design simulation, according to experts. The technology makes it possible to reduce the time needed to run the analyses for crash-test simulations — one of the most data-heavy exercises in automotive design — from several days to minutes. Read more here to learn about a p... » read more

Semiconductor Test Faces Technology Shifts In The AI Era


The surge in data-rich applications shows no signs of slowing down, fueling significant evolution within the global semiconductor industry. This insatiable demand for data necessitates a comprehensive ecosystem involving sensors and systems to capture data, networks to transmit it, and storage and processing power to analyze it. Successful deployment of these applications relies on the devel... » read more

AI Predictive Modeling Tools Move Into Critical Role To Leverage AI, ML


The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, inflate research and development costs, and lead to expensive delays when problems arise. As manufacturers navigate these challenges, the need for comprehensive prediction of manufacturing proble... » read more

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