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* In-memory processing may be used by gaming consoles such as the [[PlayStation]] and [[Xbox]] to improve game speed.<ref>{{Cite web |last=Park |first=Kate |date=2023-07-27 |title=Samsung extends cut in memory chip production, will focus on high-end AI chips instead |url=https://techcrunch.com/2023/07/27/samsung-extends-cut-in-memory-chip-production-will-focus-on-high-end-ai-chips-instead/ |access-date=2023-12-05 |website=TechCrunch |language=en-US}}</ref> Rapid data access is critical for providing a smooth game experience.
* Certain wearable devices, like smartwatches and fitness trackers, may incorporate in-memory processing to swiftly process sensor data and provide real-time feedback to users. Several commonplace gadgets use in-memory processing to improve performance and responsiveness.<ref>{{Cite journal |last1=Tan |first1=Kian-Lee |last2=Cai |first2=Qingchao |last3=Ooi |first3=Beng Chin |last4=Wong |first4=Weng-Fai |last5=Yao |first5=Chang |last6=Zhang |first6=Hao |date=2015-08-12 |title=In-memory Databases: Challenges and Opportunities From Software and Hardware Perspectives |url=https://doi.org/10.1145/2814710.2814717 |journal=ACM SIGMOD Record |volume=44 |issue=2 |pages=35–40 |doi=10.1145/2814710.2814717 |s2cid=14238437 |issn=0163-5808}}</ref>
* In-memory processing is used by smart TVs to enhance interface navigation and content delivery. It is used in digital cameras for real-time image processing, filtering, and effects.<ref>{{Cite book |chapter-url=https://ieeexplore.ieee.org/document/9937475 |access-date=2023-12-05 |doi=10.1109/ISCAS48785.2022.9937475 |s2cid=253462291 |chapter=Approximate In-Memory Computing using Memristive IMPLY Logic and its Application to Image Processing |title=2022 IEEE International Symposium on Circuits and Systems (ISCAS) |date=2022 |last1=Fatemieh |first1=Seyed Erfan |last2=Reshadinezhad |first2=Mohammad Reza |last3=Taherinejad |first3=Nima |pages=3115–3119 |isbn=978-1-6654-8485-5 }}</ref> Voice-activated assistants and other home automation systems may benefit from faster understanding and response to user orders.
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