Why Memory Matters: Rambus' HBM4 Memory Controller IP
Patrick Hopper
Publisher, President #Influencer @ OpenSystems Media | Embedded | AI | IoT | Military | Aerospace | Embedded World Media Partner #ew25 #embeddedworld
In this episode of?Embedded Insiders, we take a deep dive into the newly announced?HBM4 Memory Controller IP?from Rambus, with insights from Fellow and Distinguished Inventor Steven Woo . Rambus is leading the way with its?silicon IP portfolio, and Steven shares his perspective on the latest memory industry trends, the challenges it faces, and the?impact of AI on memory technologies.
Later, Rich sits down with Rob Oshana, PhD , the Senior Vice President of the Software and Security Group at 亚德诺半导体 to discuss how the company has transformed from being a traditional analog supplier into a vendor who delivers a mix of software with development kits and IDEs that bring all the technologies together. Tune in.
New White Paper: Edge Computing Boosts Retail Applications Through Improved Image Recognition
Artificial Intelligence (AI) is increasingly becoming a vital tool in the retail industry, improving efficiency, personalizing customer experiences, and driving sales while enhancing security measures.?
Retailers are using AI to deliver tailored shopping experiences, optimize operations such as inventory management and dynamic pricing, and improve supply chain logistics. Embedded computers at the Edge provide real-time decision-making and cost-effective solutions, optimizing operations across single stores or larger retail chains. However, complex data tasks may still require cloud-based processing for more intensive analytics and model training. Together, AI and Edge computing present a powerful combination for retailers to stay competitive in a fast-evolving market. Read more.
From Reactive to Predictive: Revolutionizing Industrial Maintenance with Cervoz
In industrial automation, maintaining machine and process health is as crucial as the automation itself, evolving from a reactive approach to a more sophisticated, data-driven strategy. Initially, reactive maintenance fixed issues only after they caused costly downtimes and production delays. Preventive maintenance marked the next step, introducing regular inspections and part replacements to reduce such risks, but it still couldn't fully optimize asset utilization. Predictive Maintenance (PdM) now represents the pinnacle of this evolution in asset management, harnessing data, artificial intelligence (AI), and advanced hardware to anticipate and resolve potential issues before they escalate into failures, thus ensuring peak equipment performance and seamless operations. Read more.
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