Calibre nmLVS-Recon to streamline IC circuit verification
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.
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
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.