🔻OXYGEN OS E COLOR OS UNISCONO LA CODEBASE🔻
#OP#OPPO#OOS#COLOR
Dopo la notizia della condivisione di alcune risorse tra OnePlus e Oppo, arrivano i primi risultati.
D'ora in avanti, OxygenOS e ColorOS uniranno la codebase. Ma cosa significa? Il nucleo del sistema sarà lo stesso in tutte e due le ROM, ma si tratta di cambiamenti interni, non visibili all'utente comune. Se le due ROM cominceranno ad assomigliarsi in grafica e funzioni, quello sarà un altro discorso.
Il beneficio di questa mossa è uno: gli aggiornamenti. OnePlus ha comunicato la nuova politica di manutenzione software per i suoi dispositivi, che si articola così:
🔸Flagship (da Serie 8): 3 aggiornamenti di Android e 4 anni di patch
🔸Nord, Nord CE e flagship vecchi: 2 aggiornamenti di Android e 3 anni di patch
🔸Nord serie N: 1 aggiornamento di Android e 3 anni di patch
Pierre
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Il nostro canale 👉🏻@oneplusguide
I nostri gruppi 👉🏻@oneplusitcommunity
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El aprendizaje automático es un vasto campo con muchos conceptos clave que conocer. Nuestro curso intensivo cubre todos los componentes básicos que necesita para sumergirse en el aprendizaje automático del mundo real.
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What’s Really Going On in Machine Learning? Some Minimal Models—Stephen Wolfram Writings
https://writings.stephenwolfram.com/2024/08/whats-really-going-on-in-machine-learning-some-minimal-models/
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Meta's second version of segment anything.
https://github.com/facebookresearch/segment-anything-2
They have a nice demo:
https://sam2.metademolab.com/
#ml
I was searching for a tool to visualize computational graphs and ran into this preprint. The hierarchical visualization idea is quite nice.
https://arxiv.org/abs/2212.10774
#ml
Like a dictionary
Kunc, Vladim’ir, and Jivr’i Kl’ema. 2024. “Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.09092.
#ml
I got interested in satellite data last year and played with it a bit. It's fantastic. The spatiotemporal nature of it brings up a lot of interesting questions.
Then I saw this paper today:
Rolf, Esther, Konstantin Klemmer, Caleb Robinson, and Hannah Kerner. 2024. “Mission Critical -- Satellite Data Is a Distinct Modality in Machine Learning.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.01444.
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Jelassi S, Brandfonbrener D, Kakade SM, Malach E. Repeat after me: Transformers are better than state space models at copying. arXiv [cs.LG]. 2024. Available: http://arxiv.org/abs/2402.01032
Not surprising at all when you have direct access to a long context. But hey, look at this title.