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A new technique developed by researchers at the Massachusetts Institute of Technology (MIT) enables artificial intelligence (AI) on edge devices, such as smartphones, to continuously learn from user data. The PockEngine training method allows machine-learning models to efficiently and continuously learn on edge devices. This breakthrough could significantly enhance AI learning on smartphones and other edge computing devices, paving the way for greater AI use. The technique has garnered attention from various tech and AI-focused sources, including MITIBMLab, TechXplore_com, and siliconrepublic.
A new training method from researchers at the Massachusetts Institute of Technology (@MIT) could be used to enable continuous learning for AI on edge computing devices. https://t.co/63PvKgyos1
New technique could boost AI learning on smartphones https://t.co/63PvKgyos1
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Technique from MIT, @MITIBMLab, and elsewhere enables AI on edge devices to keep learning over time. With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones. https://t.co/HMFQOclyME
Technique enables AI on edge devices to keep learning over time @MIT @arxiv https://t.co/TSwCgLn190 https://t.co/ZYlGImt8LQ
-0712 #AI on #EdgeDevices can now keep learning over time, thanks to a new technique! Check out the details at https://t.co/qzHZgSybby #Tech #Innovation #AIRevolution
Technique enables AI on edge devices to keep learning over time - MIT News https://t.co/ccDNKJMFWG @_GenerativeAI #ArtificialIntelligence
Technique enables AI on edge devices to keep learning over time https://t.co/68nhnNbDAi