Paradigms Of Large Language Model Applications In Functional Verification


This paper presents a comprehensive literature review for applying large language models (LLM) in multiple aspects of functional verification. Despite the promising advancements offered by this new technology, it is essential to be aware of the inherent limitations of LLMs, especially hallucination that may lead to incorrect predictions. To ensure the quality of LLM outputs, four safeguarding p... » read more

HBM3E Memory: Break Through to Greater Bandwidth


Delivering unrivaled memory bandwidth in a compact, high-capacity footprint, has made HBM the memory of choice for AI training. HBM3 is the third major generation of the HBM standard, with HBM3E offering an extended data rate and the same feature set. The Rambus HBM3E/3 Controller provides industry-leading performance to 9.6 Gb/s, enabling a memory throughput of over 1.23 TB/s for training reco... » read more

What’s At Stake In System Design?


When engineers refer to system analysis, they are referring to tool functions for improving an overall electronics design. What you will gain from this eBook: Power and Signal Integrity Insights into harmonic balancing and crosstalk analysis Learning about loop gain and transmission rates Examining the necessity of power-aware systems Electromagnetic Analysis Knowledge ... » read more

Faster And Better Floorplanning With ML-Based Macro Placement


The chips contained in today’s consumer and commercial electronic products are staggering in size and complexity. The largest devices include central processing units (CPUs), graphics processing units (GPUs), and system-on-chip (SoC) devices that integrate many functions on a single die. Additionally, chips are expanding beyond their traditional borders with multi-die approaches such as 2.5DI... » read more

Enabling The Next Generation Of Smarter Self-Navigating Robots Using Hybrid ToF Technology


Previous generations of robot vacuum cleaners have used a random pattern for cleaning that is inefficient and slow. Next-generation robots are much smarter and generate a map of the environment using sensors to localize themselves. This provides users with a floorplan of their home, from which the rooms and areas can be selected for cleaning or restricted from access. The new robots accomplish ... » read more

Ultimate Guide To Machine Learning For Embedded Systems


Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict from data. This is a big diversion from other fields which poses the limitation of programming instructions instead of learning from them. Machine learning in embedded systems specifically target ... » read more

V2X Security Is Multi-faceted, And Not All There


Experts at the Table: Semiconductor Engineering sat down to discuss Vehicle-To-Everything (V2X) technology and potential security issues, with Shawn Carpenter, program director, 5G and space at Ansys; Lang Lin, principal product manager at Ansys; Daniel Dalpiaz, senior manager product marketing, Americas, green industrial power division at Infineon; David Fritz, vice president of virtual and hy... » read more

Rethinking Chip Economics


As process nodes shrink, so does the selection of chips developed at those nodes. Consumers demand more features and functionality, but that carries a high price tag in terms of both complexity and real dollars. In addition, because costs are skyrocketing, there is growing pressure for those chips to remain reliable and up-to-date for longer periods of time. Jayson Bethurem, vice president of m... » read more

Changes And Challenges In Auto MCUs


Microcontrollers have been a key component in automotive for years, starting with single-core devices with limited on-chip memory for very basic functions, and evolving toward multi-core systems with more memory for more complex tasks. But as vehicles become increasingly automated, microcontrollers are changing significantly, and so is the perception of how to utilize them. These new devices ne... » read more

Safeguarding IoT Devices With SESIP And PSA Certified Root Of Trust IP


IoT is everywhere. By the end of 2024, it’s forecasted that there will be a staggering 207 billion IoT devices in the world, that’s 25 each for every human being on Earth. The connectivity of IoT devices brings great value for consumers and businesses alike, but with great connectivity comes greater vulnerability to a wide variety of malicious attacks from cyber criminals. IoT devices ar... » read more

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