GDDR6 Delivers The Performance For AI/ML Inference


AI/ML is evolving at a lightning pace. Not a week goes by right now without some new and exciting developments in the field, and applications like ChatGPT have brought generative AI capabilities firmly to the forefront of public attention. AI/ML is really two applications: training and inference. Each relies on memory performance, and each has a unique set of requirements that drive the choi... » read more

Designing Crash-Proof Autonomous Vehicles


Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and hearing to assess driving conditions. When drivers detect objects in front of the vehicle, the automatic reaction is to slam on the brakes or swerve to avoid them. Quite often drivers cannot react q... » read more

3D Structures Challenge Wire Bond Inspection


Adding more layers in packages is making it difficult, and sometimes impossible, to inspect wire bonds that are deep within the different layers. Wire bonds may seem like old technology, but it remains the bonding approach of choice for a broad swath of applications. This is particularly evident in automotive, industrial, and many consumer applications, where the majority of chips are not de... » read more

Optimizing Scan Test For Complex ICs


As chips become more heterogeneous with more integrated functionality, testing them presents increasing challenges — particularly for high-speed system-on-chip (SoC) designs with limited test pin availability. In addition, the complexity of emerging packages like 3D and chiplets necessitates comprehensive new solutions that can provide faster results at multiple stages in the silicon lifec... » read more

The Data Revolution Of Semiconductor Production


During our insightful panel discussion on “The Data Revolution of Semiconductor Production – How Advancements in Technology Unlock New Insights,” we covered several topics including machine learning, edge computing and cloud-based data management. We discussed questions including: Are we creating the right data and doing enough with it? What needs to be done to make data actionable? Ho... » read more

ML Automotive Chip Design Takes Off


Machine learning is increasingly being deployed across a wide swath of chips and electronics in automobiles, both for improving reliability of standard parts and for the creation of extremely complex AI chips used in increasingly autonomous applications. On the design side, the majority of EDA tools today rely on reinforcement learning, a machine learning subset of AI that teaches a machine ... » read more

Role Of IoT Software Expanding


IoT software is becoming much more sophisticated and complex as vendors seek to optimize it for specific applications, and far more essential for vendors looking to deliver devices on-time and on-budget across multiple market segments. That complexity varies widely across the IoT. For example, the sensor monitoring for a simple sprinkler system is far different than the preventive maintenanc... » read more

Issues And Challenges In Super-Resolution Object Detection And Recognition


If you want high performance AI inference, such as Super-Resolution Object Detection and Recognition, in your SoC the challenge is to find a solution that can meet your needs and constraints. You need inference IP that can run the model you want at high accuracy. You need inference IP that can run the model at the frame rate you want: higher frame rate = lower latency, more time for dec... » read more

Accelerating Coverage Closure With AI-Based Verification Space Optimization


Coverage is at the heart of all modern semiconductor verification. There is no maxim more fundamental to this process than “if you haven’t exercised it, you haven’t verified it.” Although covering a particular aspect of a chip design does not guarantee that all bugs are found — bug effect propagation and checker quality are also key factors — it is certainly true that bugs cannot po... » read more

From Data Center To End Device: AI/ML Inference With GDDR6


Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inference. As inference migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be incre... » read more

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