Article Roundup: Calibre nmLVS-Recon to streamline IC circuit verification, Design and verify 5G systems - Part 1, Running With O-RAN, AV Transformation Design and Verification Turbocharges OEMs, Mapping Neurons to a Model

1. Calibre nmLVS-Recon to streamline IC circuit verification
   
2. Design and verify 5G systems, part 1

3. 与O-RAN一起运行

4. AV Transformation Design and Verification Turbocharges OEMs

5. Mapping Neurons to a Model

Calibre nmLVS-Recon to streamline IC circuit verification
ElectronicSpecifier.com

在本文中，作者讨论了导师对口径Recon技术的扩展到口径NMLVS电路验证。Calibre NMLVS-Recon解决方案通过帮助系统片内（SOC）工程师，电路设计人员和IC电路验证团队识别和解决开发阶段的早期选择的系统错误来帮助速度整体电路验证周转时间。

Design and verify 5G systems, part 1
EDN

在本文中，提交人强调了5G通信的重要技术要求。他进一步强调，5G标准是从所有四个以前的无线标准的飞跃，有利于更快的速度，更高的数据传输速度和更低的覆盖率，并且5G将结束妨碍老化4G标准的拥堵和延迟问题。

与O-RAN一起运行
SemiEngineering

O-RAN is a complex standard, with a six layer stack of functionality and there are currently 9 technical workgroups that are defining the specification. It is the architectural foundation for companies to build out intelligent 5G systems. 5G SoCs demand a new verification approach that meets the challenges of the exponential rise in required tests: a verification flow for pre- and post-silicon. In this article, the author highlights that open and flexible 5G standards are driving new development of highly customized hardware and by using O-RAN teams can bring their tested solutions to market faster.

AV Transformation Design and Verification Turbocharges OEMs
电子指导

In this article, the author explains in detail on how emulation delivers on the industry need for pre-silicon verification of AV chips. Closed-loop validation hinges on rigorous pre-silicon validation of deterministic (rules-based) and non-deterministic (AI-based) approaches to safe self-driving in the context of the full digital twin. Emulation provides a portfolio addressing design exploration, validation, and verification of autonomous vehicles to optimize R&D spending on AV development. The author further stresses that OEMs will be able to create a sustainable, competitive advantage in the market by embracing this transformational change.

Mapping Neurons to a Model
MentorBlogs.

这个博客探索大脑的神经元的映射into a software model. A neuron receives inputs that constantly add (excite) and subtract (inhibit) based on what the brain is thinking about. When the total input reaches a threshold voltage, where the excitation outweighs the inhibition, an electrical spike occurs, triggering a synaptic release which allows communication to another set of neurons. Developing a model that can be used for an AI application, like object recognition, requires connecting together many neurons in a network and attending to details about handling errors and adjusting weights accordingly.