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Enabling High-Performance AI PC Web Cameras Using eUSB2V2 Version of USB

Enabling High-Performance AI PC Web Cameras Using eUSB2V2 Version of USB

Learn how eUSB2V2-based enabling technology for next-generation AI PC web cameras delivers the high bandwidth, local intelligence, and power efficiency required for emerging edge AI use cases.


Edge AI Development Is a Lifecycle Problem

Edge AI Development Is a Lifecycle Problem

Edge AI success is limited by memory and power. Fragmented tools cause failures. Learn how a cohesive, full-lifecycle approach unifying design and deployment is essential for scalable systems.


The Hidden Cooling Bottleneck Inside Liquid-Cooled AI Data Centers

The Hidden Cooling Bottleneck Inside Liquid-Cooled AI Data Centers

Learn how liquid cooling eliminates system airflow, creating a hidden thermal bottleneck for 'left-behind' components like memory and SSDs. Targeted micro-cooling is required to restore system balance.


How Neuromorphic Chips are Revolutionizing the Edge

How Neuromorphic Chips are Revolutionizing the Edge

Neuromorphic Edge AI chips mark a fundamental departure from traditional silicon, utilizing brain-inspired, event-driven architectures to enable real-time inference within milliwatt-level power budgets.


The New Moore’s Law: Why Optical Computing Could Redefine Scaling for AI

The New Moore’s Law: Why Optical Computing Could Redefine Scaling for AI

Optical computing is the "New Moore's Law" for AI. It solves electronic scaling limits, offering higher speed, lower power, and efficiency gains proportional to problem size for matrix operations.


The Configurable Matrix Computer: A New Alternative to the von Neumann Architecture

The Configurable Matrix Computer: A New Alternative to the von Neumann Architecture

Learn how this new type of AI processor provides a 100x improvement in power and performance over conventional GPUs or MCUs.


Advancing Telecommunications With Edge AI

Advancing Telecommunications With Edge AI

By strategically incorporating artificial intelligence throughout their networks, telecom companies can meet demand for better performance, streamlined operations, and improved customer experiences.


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.


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.


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.


Diverse Lockstep Technology in MCUs for Enhanced ADAS Safety and Security

Diverse Lockstep Technology in MCUs for Enhanced ADAS Safety and Security

Diverse lockstep technology uses two unique architecture cores executing different instructions to complete the same overall task for improved autonomous vehicle reliability.


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.


Evolving Beyond Single-Processor Embedded Systems for IoT Edge Sensor Nodes

Evolving Beyond Single-Processor Embedded Systems for IoT Edge Sensor Nodes

Learn how system partitioning can optimize IoT edge sensor node operation by intelligently separating the analog sensors that measure slowly varying signals from the communication networks using high-speed digital signals.


The 150-Year-Old Principle at the Root of Secure Silicon and Software

The 150-Year-Old Principle at the Root of Secure Silicon and Software

Learn how open source silicon can provide better security than traditional measures like obscurity, but only if employed correctly, managed well, and backed with appropriate resources.


Efficient Discrete Logic Implementation Using MCU Complex Logic Blocks

Efficient Discrete Logic Implementation Using MCU Complex Logic Blocks

Learn how the Configurable Logic Block (CLB) peripheral in the PIC16F13145 family of microcontrollers allows developers to implement complex discrete logic functions in hardware to reduce the Bill of Materials and develop custom application-specific logic.


Understanding the Challenges of Image Signal Processing Calibration

Understanding the Challenges of Image Signal Processing Calibration

Calibrating your image signal processor is a complex engineering task, but it's critical for digital image quality. Learn about these nuances and about the resources available to help you tackle these challenges.


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).


Understanding the Compute Hardware Behind Generative AI

Understanding the Compute Hardware Behind Generative AI

Generative AI tools like ChatGPT have had a huge impact in numerous sectors of society. As engineers, it’s helpful for us to understand the computing technology that makes it possible.