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Design for the Future: How UALink Interconnects Empower Next-Gen AI Systems

Design for the Future: How UALink Interconnects Empower Next-Gen AI Systems

Learn how UALink offers an open, high-speed interconnect for AI accelerators, that enables scalable, low-latency, and energy-efficient AI systems for next-gen workloads.


How Mature-Technology ASICs Can Give You the Edge

How Mature-Technology ASICs Can Give You the Edge

Learn how application-specific integrated circuits can enable companies to leverage their key IP and distinguish themselves from competitors who use off-the-shelf ICs.


AI’s Appetite for Memory: Can Hardware Designs Keep Pace?

AI’s Appetite for Memory: Can Hardware Designs Keep Pace?

Memory selection has become a priority, as AI system designs demand more memory. Learn how to navigate hardware designs impacts and supply chain issues, and how BOM management tools help smooth the way.


Beyond Copper and Optical, a New Interconnect Eyes Next Gen Data Centers

Beyond Copper and Optical, a New Interconnect Eyes Next Gen Data Centers

Both copper and optical interconnects face limitations as choices for next gen data centers. Learn how a third option promises to enable scaling up AI clusters in data centers for years to come.


Edge AI Meets Next-Gen Cooling: The Breakthrough of Silicon-Based Micro-Cooling Fans

Edge AI Meets Next-Gen Cooling: The Breakthrough of Silicon-Based Micro-Cooling Fans

MEMS-based miniature-fan technology can provide improved thermal performance, increased reliability, and reduced noise for advanced processors.


AI Inferencing in Data Centers: Breaking the Efficiency-Cost Tradeoff

AI Inferencing in Data Centers: Breaking the Efficiency-Cost Tradeoff

Training and inferencing comprise two crucial aspects of AI processing in datacenters. Learn the differences between the two, and the cost-efficiency issues involved.


Post-Quantum Cryptography—Securing Semiconductors in a Post-Quantum World

Post-Quantum Cryptography—Securing Semiconductors in a Post-Quantum World

Quantum computing advances are exciting, but they’re also a looming threat to securing ICs, driving the need for Post-Quantum Cryptography (PQC). Learn about PQC, how it’s being implemented, and the legislation involved.


Unlocking the Future: AI-Driven Embedded Systems

Unlocking the Future: AI-Driven Embedded Systems

AI-driven embedded systems are enabling smarter, more efficient, and adaptive systems. We will explore key industry innovations and identify applications that can benefit from this revolutionary technology.


Rethinking Computational Storage: Unlock the Processing Power of SSDs

Rethinking Computational Storage: Unlock the Processing Power of SSDs

Generic concepts of computational storage are a dead end, but targeted accelerators leveraging the massive on-board bandwidth of solid-state drives may benefit high-performance computing.


Harnessing the Power of a Software-Based Image Signal Processing Approach

Harnessing the Power of a Software-Based Image Signal Processing Approach

There are numerous advantages to leveraging a software-based image signal processor (ISP) approach. Learn the advantages and the solutions available to implement this technology.


Unlocking New Frontiers in Space Applications with Off-the-Shelf Edge AI Processors

Unlocking New Frontiers in Space Applications with Off-the-Shelf Edge AI Processors

Learn how government space experts are re-evaluating radiation environments and identifying commercial electronics, including new edge AI co-processors, that can meet the mission requirements of future missions.


Edge AI Demands Call For Optimized Storage Controller Chips

Edge AI Demands Call For Optimized Storage Controller Chips

AI will push the limits of PCs and smartphones. In turn, demands on storage controller chips will be intense. Learn how chip architectures and firmware schemes must be optimized for these AI workloads.


Rethinking MCU Architectures for the AI Era

Rethinking MCU Architectures for the AI Era

MCUs that only do control tasks are one thing. But in today’s AI age, a truly AI-enabled MCU needs to offer more. Learn the important factors—from optimized neural processing units (NPUs) to power efficient architectures to clever memory topologies.


Crafting a Silicon Lifecycle Management Strategy for HPC and Data Centers

Crafting a Silicon Lifecycle Management Strategy for HPC and Data Centers

As data center computing and HPC advances, the stakes for ensuring reliability are high. Learn how to develop a silicon lifecycle management (SLM) strategy that ensures a successful future for your designs.


Speeding Derivative SoC Designs With Networks-on-Chips

Speeding Derivative SoC Designs With Networks-on-Chips

With the help of a case study, we examine how adopting NoC technology can significantly improve the process of updating existing chip designs.


Applying IP Customization to Improve AI Chips: A Case Study

Applying IP Customization to Improve AI Chips: A Case Study

For your next chip design, should you select a design-services provider with the ability to create custom fundamental IP blocks, including standard cells and libraries? This article will help you answer this question.


How To Perform Fault Classification With an AI-Based Vibration Sensor Node

How To Perform Fault Classification With an AI-Based Vibration Sensor Node

Learn how to use edge AI technology to do predictive maintenance, leveraging machine learning, vibration sensors, and wireless connectivity.


Improving Battery Life in IoT Smart Camera Designs

Improving Battery Life in IoT Smart Camera Designs

The wireless connectivity side eats up a huge portion of the power budget in an IoT smart home security camera design. Learn how to keep power low as smart cameras add more processing intelligence.


System Challenges of Generative AI Inference Acceleration

System Challenges of Generative AI Inference Acceleration

When you look under the hood of generative AI processing, the system design challenges are many. Learn how efficiency, power consumption, and memory issues all come into play.


How Will Angstrom-Scale Chips Advance the Electronics Industry?

How Will Angstrom-Scale Chips Advance the Electronics Industry?

Angstrom-scale ICs will require innovation across the entire semiconductor ecosystem: This will include advances in both the hardware (transistors, power distribution, and connection of multi-die systems) and tools (EDA tools with AI/ML and silicon life-cycle management).