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Samsung Galaxy Note 10: What To Expect, Release Date And Leaks

Let’s take a quick look and see what has Samsung’s latest marvel got in store.

When Will Samsung Release Galaxy Note 10?

As far as we can see Samsung’s previous patterns of launching new devices, we’re expecting Galaxy Note 10’s launch to be scheduled somewhere between August and September. Samsung and Apple have always been tough contenders in the race of launching a premium range of smartphones. Looks like Samsung is all set to give some serious competition to newly launched Apple smartphones this fall. Which smartphone will create more buzz in the mobile industry? Apple or Samsung, what’s your pick?

Samsung Galaxy Note 10 Features Bye-bye Headphone Jack

Yes, you heard that right! Love it or hate it but Samsung is finally ditching the headphone jack from Note 10 devices. We’re not sure yet but as far as we’ve heard, Samsung will most likely get rid of its 3.5 MM audio jack and use that space for some other physical components.

Two Variants

Sources have claimed, this time Samsung will be releasing Note 10 devices in two major variants namely Note 10 and Note 10 Pro. Design and specifications will more likely be the same in both models, but with a little difference in detail.

Unique Hole Punch Design

Also Read : What Is Samsung Pay And How To Use It

Multiple Cameras

Well, we’re certainly sure about this one! Sources have claimed that Galaxy Note 10 will be featuring three high-resolution cameras at the back, just like the S10 smartphones. Although, the placement will be a little different. Note 10 will place all these three cameras vertically, unlike S10 where cameras are placed horizontally next to each other.

Enhanced Performance Bear with Bixby Button

No matter how much you hate it, Galaxy Note 10 devices will still come along with a Bixby button shortcut. A huge majority of users have been found hating this presence of Bixby button on Samsung smartphones. So, looks like we still have to bear with Bixby on Note 10 devices!

Next Read: What is Samsung Bixby? And how to use it

Quick Reaction:

About the author

Rimzhim Sharma

A tech blogger and part-time explorer of “Everything cool and trendy”. Slipped into the writing career a couple of years back, for the love of technology. Rimzhim’s blogs solely focus on problem-solving troubleshooting guides for Windows, macOS, Android, and iPhone. She curates tech-related content, tips, DIY hacks that resolve common errors and bugs. Born and raised in the pink city.

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Samsung Galaxy Z Fold 3 Buyer’S Guide: Everything You Need To Know

Eric Zeman / Android Authority

At this point, Samsung owns the foldable market. Although we’ve seen a handful of other companies launch foldable phones, none of them can match Samsung’s breadth of options, software support, and durability. This includes the company’s 2023 flagship foldable, the Samsung Galaxy Z Fold 3.

Comparing the first Galaxy Fold against the Z Fold 3 is like looking at a rough prototype and the real finished product. Samsung has fixed numerous problems that have plagued its foldables over the past few years, made many refinements, and (finally!) dropped the price.

In this Samsung Galaxy Z Fold 3 buyer’s guide, we’ll give you all the information you need to know about Samsung’s 2023 foldable flagship.

See also: The best foldable phones you can get

A newer version of this device has been announced. Samsung has recently revealed the Galaxy Z Fold 4, which features an upgraded processor and an updated design. Read our full

Samsung has recently revealed the Galaxy Z Fold 4, which features an upgraded processor and an updated design. Read our full Galaxy Z Fold 4 buyer’s guide for more detailed information.

What other reviewers from around the web think

Engadget‘s Cherlynn Low praised the foldable screen, camera quality, and S Pen support in her review. But she criticized the “narrow” external screen and the heft compared to other devices. She reckoned that the device tries and fails to be both a tablet and a phone, and that it’s therefore not quite ready for mainstream consumers just yet.

Patrick Holland of CNET praised the Galaxy Z Fold 3 when using it as a tablet, while also pointing to S Pen support, water resistance, and various software improvements as positives. But the reviewer criticized the smartphone experience, battery life, and price tag. He concluded by saying that he wasn’t actually sure who this device was for.

Mark Spoonauer of Tom’s Guide said the device looks like the best foldable yet, praising the durability, water-resistant design, S Pen support, and multitasking features. But he also bemoaned the price tag, the lack of camera hardware upgrades, endurance, and bulk when closed. In any event, Mark lamented the lack of foldable competition.

Most of the big changes Samsung made this year are related to the design and durability of the phone rather than raw specs. Still, Samsung did make some significant internal upgrades. Check them out in the table below:

This is the first time a foldable device has worked with an S Pen.

Meanwhile, the S Pen Fold is specifically catered to the Galaxy Z Fold 3. It doesn’t have Bluetooth or gesture support and is thinner, lighter, and shorter than the S Pen Pro. It’s also cheaper at $50.

With either choice, you get an S Pen with a softer, rounder tip that makes it safer for use with a foldable display. They both also feature retractable points that weaken if you apply too much pressure. This should help preserve the lifespan of your foldable display.

Unfortunately, your purchase of a Galaxy Z Fold 3 does not include either S Pen. They are sold separately.

Is the Galaxy Z Fold 3’s camera good?

Eric Zeman / Android Authority

For all intents and purposes, the camera hardware in the Samsung Galaxy Z Fold 3 is identical to that of the Galaxy Z Fold 2. Other than some minor refinements (and a redesigned exterior module), the systems are essentially the same.

Our reviewer Eric Zeman felt that the Galaxy Z Fold 3 camera experience was a mixed bag. He noted that images shot via the rear cameras were very good but not excellent. Those looking for 8K video or great long-range zoom will also need to look elsewhere, as the phone offers 4K/60fps recording and a 2X telephoto lens respectively.

Samsung also offers two ways to take selfies, namely via the outer screen’s selfie camera and the main display’s under-display selfie camera. The former camera offered “decent” results but the latter shooter was worse. “Shots are noisy, soft, and demonstrate odd color and white balance,” Eric said of the under-display selfie camera, stressing that it simply doesn’t take very good shots.

See also: The best Android smartphones with the best battery life

Our reviewer noted that he generally enjoyed total screen-on time of about five hours when primarily using the foldable display. He also found that the phone would last for a day when using both screens, with about ~20% juice remaining come bedtime.

As far as charging goes, the Galaxy Z Fold 3 has a maximum charging speed of 25W. It also can wirelessly charge at a maximum speed of 10W. There is no charger of any kind in the box, though, so you’ll need to use a charger you already own or buy a new one from Samsung. Eric found that charging with a 25W USB PD PPS charger took 90 minutes from empty. That’s not great compared to rival devices on the market.

How is the Samsung Galaxy Z Fold 3 performance?

Eric Zeman / Android Authority

Inside the Samsung Galaxy Z Fold 3, you’ll find the Qualcomm Snapdragon 888 paired with 12GB of RAM. Although the Snapdragon 888 Plus is technically superior, an SD888 with that much RAM should be more than enough power for the Galaxy Z Fold 3.

This is indeed the case according to our review, with Eric noting that multitasking and dragging content between app windows was a very smooth experience. He also said that demanding games ran fine here.

Phone software and updates

Eric Zeman / Android Authority

Samsung has been setting the bar for Android updates over the past few years. You can rest assured that your Galaxy Z Fold 3 will get plenty of after-purchase support.

Overall size/weight: The Galaxy Z Fold 3 is thinner and lighter than its predecessor. That means not only is it thinner when unfolded but also folded. This should make it more pocket-friendly.

Durability: Samsung earned an IPX8 rating for the Galaxy Z Fold 3. The Galaxy Z Fold 2 has no IP rating at all, which makes the Z Fold 3 much tougher than its predecessor.

Better/stronger displays: This time around, both the interior and exterior displays see 120Hz refresh rates (only the interior display of the Galaxy Z Fold 2 boasted this feature). Additionally, the interior display is stronger by 80%, according to Samsung.

Processing power: The Samsung Galaxy Z Fold 3 features the Qualcomm Snapdragon 888 under the hood. This is faster than the Snapdragon 865 Plus from last year. RAM and internal storage options remain the same, though.

S Pen support: Thanks to the stronger interior display of the Galaxy Z Fold 3, S Pen support is now possible. Samsung offers two models: the S Pen Pro and the S Pen Fold. See more info on this in an earlier section.

UDC: For the first time in any Samsung phone, the Z Fold 3 has an under-display camera (UDC). It appears in the upper right of the interior display. Fair warning, though: even Samsung admits this camera will produce sub-par images. It should be used mostly for things like video chats.

Battery: The Galaxy Z Fold 3 has a slightly smaller battery when compared to last year’s model. The difference is only 100mAh, but that’s not a negligible amount.

Samsung Galaxy Z Fold 4 ($1,799): The most obvious competitor to the Z Fold 3 is its successor. It offers minor improvements including a faster chipset and updated cameras. The two phones currently costs the same, making the Z Fold 4 the better buy.

Samsung Galaxy Z Flip 4 ($999): If you want to enter the world of foldables but stay near the $1,000 range, the Galaxy Z Flip 4 is a good option. Launching on the same day as the Galaxy Z Fold 3, the latest Flip model has a clamshell design. In its unfolded state, it has the size and dimensions of a “normal” phone but then folds down to about half that size.

Where to buy the Samsung Galaxy Z Fold 3

Eric Zeman / Android Authority

Samsung Galaxy Z Fold 3 (256GB): $1,799 / €1,799 / £1,599 / Rs. 149,999

Samsung Galaxy Z Fold 3 (512GB): $1,899 / €1,899 / £1,699 / Rs. 157,999

FAQs

The Galaxy Z Fold 3 will be safe if submerged in up to 1.5m of water for up to 30 minutes. The rating does not make any claims towards dust/particle resistance.

No, this has not appeared on any of Samsung’s foldable phones to date.

No. You are locked to the two internal storage options of 256GB and 512GB.

There are two physical SIM card slots in the phone. Additionally, it also supports an eSIM card. Theoretically, this could allow you three different SIMs.

No. To unlock the phone with your fingerprint, you’ll need to use the capacitive sensor on the side of the device.

Everything You Need To Know About Scikit

Introduction

Scikit-learn is one Python library we all inevitably turn to when we’re building machine learning models. I’ve built countless models using this wonderful library and I’m sure all of you must have as well.

There’s no question – scikit-learn provides handy tools with easy-to-read syntax. Among the pantheon of popular Python libraries, scikit-learn ranks in the top echelon along with Pandas and NumPy. These three Python libraries provide a complete solution to various steps of the machine learning pipeline.

I love the clean, uniform code and functions that scikit-learn provides. It makes it really easy to use other techniques once we have mastered one. The excellent documentation is the icing on the cake as it makes a lot of beginners self-sufficient with building machine learning models.

The developers behind scikit-learn have come up with a new version (v0.22) that packs in some major updates. I’ll unpack these features for you in this article and showcase what’s under the hood through Python code.

Note: Looking to learn Python from scratch? This free course is the perfect starting point!

Table of Contents

Getting to Know Scikit-Learn

A Brief History of Scikit-Learn

Scikit-Learn v0.22 Updates (with Python implementation)

Stacking Classifier and Regressor

Permutation-Based Feature Importance

Multi-class Support for ROC-AUC

kNN-Based Imputation

Tree Pruning

Getting to Know Scikit-Learn

This library is built upon the SciPy (Scientific Python) library that you need to install before you can use scikit-learn. It is licensed under a permissive simplified BSD license and is distributed under many Linux distributions, encouraging academic and commercial use.

Overall, scikit-learn uses the following libraries behind the scenes:

NumPy: n-dimensional array package

SciPy: Scientific computing Library

Matplotlib:  Plotting Library

iPython: Interactive python (for Jupyter Notebook support)

SymPy: Symbolic mathematics

Pandas: Data structures, analysis, and manipulation

Lately, scikit-learn has reorganized and restructured its functions & packages into six main modules:

Classification: Identifying which category an object belongs to

Regression: Predicting a continuous-valued attribute associated with an object

Clustering: For grouping unlabeled data

Dimensionality Reduction: Reducing the number of random variables to consider

Model Selection: Comparing, validating and choosing parameters and models

Preprocessing: Feature extraction and normalization

scikit-learn provides the functionality to perform all the steps from preprocessing, model building, selecting the right model, hyperparameter tuning, to frameworks for interpreting machine learning models.

Scikit-learn Modules (Source: Scikit-learn Homepage)

A Brief History of Scikit-learn

Scikit-learn has come a long way from when it started back in 2007 as scikits.learn. Here’s a cool trivia for you – scikit-learn was a Google Summer of Code project by David Cournapeau!

This was taken over and rewritten by Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent Michel, all from the French Institute for Research in Computer Science and Automation and its first public release took place in 2010.

Since then, it has added a lot of features and survived the test of time as the most popular open-source machine learning library across languages and frameworks. The below infographic, prepared by our team, illustrates a brief timeline of all the scikit-learn features along with their version number:

The above infographics show the release of features since its inception as a public library for implementing Machine Learning Algorithms from 2010 to 2023

Today, Scikit-learn is being used by organizations across the globe, including the likes of Spotify, JP Morgan, chúng tôi Evernote, and many more. You can find the complete list here with testimonials I believe this is just the tip of the iceberg when it comes to this library’s popularity as there will a lot of small and big companies using scikit-learn at some stage of prototyping models.

The latest version of scikit-learn, v0.22, has more than 20 active contributors today. v0.22 has added some excellent features to its arsenal that provide resolutions for some major existing pain points along with some fresh features which were available in other libraries but often caused package conflicts.

We will cover them in detail here and also dive into how to implement them in Python.

Scikit-Learn v0.22 Updates

Along with bug fixes and performance improvements, here are some new features that are included in scikit-learn’s latest version.

Stacking Classifier & Regressor

Stacking is an ensemble learning technique that uses predictions from multiple models (for example, decision tree, KNN or SVM) to build a new model.

This model is used for making predictions on the test set. Below is a step-wise explanation I’ve taken from this excellent article on ensemble learning for a simple stacked ensemble:

The base model (in this case, decision tree) is then fitted on the whole train dataset

This model is used to make final predictions on the test prediction set

The mlxtend library provides an API to implement Stacking in Python. Now, sklearn, with its familiar API can do the same and it’s pretty intuitive as you will see in the demo below. You can either import StackingRegressor & StackingClassifier depending on your use case:

from

sklearn.linear_model

import

LogisticRegression

from sklearn.ensemble import RandomForestClassifier from chúng tôi import DecisionTreeClassifier

from

sklearn.ensemble

import

StackingClassifier

from

sklearn.model_selection

import

train_test_split

X

,

y

=

load_iris

(

return_X_y

=

True

)

estimators

=

[

(

'rf'

,

RandomForestClassifier

(

n_estimators

=

10

,

random_state

=

42

)),

(

'dt'

,

DecisionTreeClassifier

(

random_state

=

42

)

)

]

clf

=

StackingClassifier

(

estimators

=

estimators

,

final_estimator

=

LogisticRegression

()

)

X_train

,

X_test

,

y_train

,

y_test

=

train_test_split

(

X

,

y

,

stratify

=

y

,

random_state

=

42

)

clf

.

fit

(

X_train

,

y_train

)

.

score

(

X_test

,

y_test

)

Permutation-Based Feature Importance

As the name suggests, this technique provides a way to assign importance to each feature by permuting each feature and capturing the drop in performance.

But what does permuting mean here? Let us understand this using an example.

Let’s say we are trying to predict house prices and have only 2 features to work with:

LotArea – (Sq Feet area of the house)

YrSold (Year when it was sold)

The test data has just 10 rows as shown below:

Next, we fit a simple decision tree model and get an R-Squared value of 0.78. We pick a feature, say LotArea, and shuffle it keeping all the other columns as they were:

Next, we calculate the R-Squared once more and it comes out to be 0.74. We take the difference or ratio between the 2 (0.78/0.74 or 0.78-0.74), repeat the above steps, and take the average to represent the importance of the LotArea feature.

We can perform similar steps for all the other features to get the relative importance of each feature. Since we are using the test set here to evaluate the importance values, only the features that help the model generalize better will fare better.

Earlier, we had to implement this from scratch or import packages such as ELI5. Now, Sklearn has an inbuilt facility to do permutation-based feature importance. Let’s get into the code to see how we can visualize this:



As you can see in the above box plot, there are 3 features that are relatively more important than the other 4. You can try this with any model, which makes it a model agnostic interpretability technique. You can read more about this machine learning interpretability concept here.

Multiclass Support for ROC-AUC

The ROC-AUC score for binary classification is super useful especially when it comes to imbalanced datasets. However, there was no support for Multi-Class classification till now and we had to manually code to do this. In order to use the ROC-AUC score for multi-class/multi-label classification, we would need to binarize the target first.

Currently, sklearn has support for two strategies in order to achieve this:

from sklearn.datasets import load_iris  from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import roc_auc_score X, y = load_iris(return_X_y=True) rf = RandomForestClassifier(random_state=44, max_depth=2) rf.fit(X,y) print(roc_auc_score(y, rf.predict_proba(X), multi_class='ovo'))

Also, there is a new plotting API that makes it super easy to plot and compare ROC-AUC curves from different machine learning models. Let’s see a quick demo:

from

sklearn.model_selection

import

train_test_split

from

sklearn.svm

import

SVC

from

sklearn.metrics

import

plot_roc_curve

from

sklearn.ensemble

import

RandomForestClassifier

from

sklearn.datasets

import

make_classification

import

matplotlib.pyplot

as

plt

X

,

y

=

make_classification

(

random_state

=5

)

X_train

,

X_test

,

y_train

,

y_test

=

train_test_split

(

X

,

y

,

random_state

=

42

)

svc

=

SVC

(

random_state

=

42

)

svc

.

fit

(

X_train

,

y_train

)

rfc

=

RandomForestClassifier

(

random_state

=

42

)

rfc

.

fit

(

X_train

,

y_train

)

svc_disp

=

plot_roc_curve

(

svc

,

X_test

,

y_test

)

rfc_disp

=

plot_roc_curve

(

rfc

,

X_test

,

y_test

,

ax

=

svc_disp

.

ax_

)

rfc_disp

.

figure_

.

suptitle

(

"ROC curve comparison"

)

plt

.

show

()

In the above figure, we have a comparison of two different machine learning models, namely Support Vector Classifier & Random Forest. Similarly, you can plot the AUC-ROC curve for more machine learning models and compare their performance.

kNN-Based Imputation

In kNN based imputation method, the missing values of an attribute are imputed using the attributes that are most similar to the attribute whose values are missing. The assumption behind using kNN for missing values is that a point value can be approximated by the values of the points that are closest to it, based on other variables.

The k-nearest neighbor can predict both qualitative & quantitative attributes

Creation of predictive machine learning model for each attribute with missing data is not required

Correlation structure of the data is taken into consideration

Scikit-learn supports kNN-based imputation using the Euclidean distance method. Let’s see a quick demo:

import

numpy

as

np

from

sklearn.impute

import

KNNImputer

X

=

[[4

,

6

,

np

.

nan

],

[

3

,

4

,

3

],

[

np

.

nan

,

6

,

5

],

[

8

,

8

,

9

]]

imputer

=

KNNImputer

(

n_neighbors

=

2

)

print

(

imputer

.

fit_transform

(

X

))

You can read about how kNN works in comprehensive detail here.

Tree Pruning

In basic terms, pruning is a technique we use to reduce the size of decision trees thereby avoiding overfitting. This also extends to other tree-based algorithms such as Random Forests and Gradient Boosting. These tree-based machine learning methods provide parameters such as min_samples_leaf and max_depth to prevent a tree from overfitting.

Pruning provides another option to control the size of a tree. XGBoost & LightGBM have pruning integrated into their implementation. However, a feature to manually prune trees has been long overdue in Scikit-learn (R already provides a similar facility as a part of the rpart package).

In its latest version, Scikit-learn provides this pruning functionality making it possible to control overfitting in most tree-based estimators once the trees are built. For details on how and why pruning is done, you can go through this excellent tutorial on tree-based methods by Sunil. Let’s look at a quick demo now:

from sklearn.ensemble import RandomForestClassifier from sklearn.datasets import make_classification X

,

y

=

make_classification

(

random_state

=

0

)

rf

=

RandomForestClassifier

(

random_state

=

0

,

ccp_alpha

=

0

)

.

fit

(

X

,

y

)

print

(

"Average number of nodes without pruning

{:.1f}

"

.

format

(

np

.

mean

([

e

.

tree_

.

node_count

for

e

in

rf

.

estimators_

])))

rf

=

RandomForestClassifier

(

random_state

=

0

,

ccp_alpha

=

0.1

)

.

fit

(

X

,

y

)

print

(

"Average number of nodes with pruning

{:.1f}

"

.

format

(

np

.

mean

([

e

.

tree_

.

node_count

for

e

in

rf

.

estimators_

])))

End Notes

The scikit-learn package is the ultimate go-to library for building machine learning models. It is the first machine learning-focused library all newcomers lean on to guide them through their initial learning process. And even as a veteran, I often find myself using it to quickly test out a hypothesis or solution I have in mind.

The latest release definitely has some significant upgrades as we just saw. It’s definitely worth exploring on your own and experimenting using the base I have provided in this article.

Related

Xiaomi 12S: Everything You Need To Know

Just as importantly, the trio of 12S phones unveiled in China – the 12S, 12S Pro, and 12S Ultra – are the first to bear a Leica logo, marking the two companies’ new long-term camera collaboration.

Here’s everything we know so far about the three phones, including their prospects of launching in the West.

When will the Xiaomi 12S launch worldwide?

Xiaomi revealed the three 12S phones in China on 4 July, but what about the rest of the world?

The Xiaomi 12 and 12 Pro took a couple of months to get a global launch, so on that timetable we’d expect to see the 12S arrive globally some time in September.

That’s assuming they’ll launch at all. Last year’s Mi 11 Ultra never officially reached the West at all, and Xiaomi has already confirmed to Tech Advisor that “The series will not be coming to the UK.”

There’s still a chance it hits some other markets outside China of course, though right now we’d consider it a long shot. Hopefully we’ll find out more soon.

How much do the 12S phones cost?

With a launch only in China, we only have Chinese prices for the phones so far, but here’s how they convert worldwide:

Xiaomi 12S – From ¥3,999 (around $600/£490/€570)

Xiaomi 12S Pro – From ¥4,699 (around $700/£580/€670)

Xiaomi 12S Ultra – From ¥5,999 (around $900/£740/€860)

What are the Xiaomi 12S specs?

Now that Xiaomi has released the 12S series in China, we know the specs for all three phones. Here’s how they stack up:

Xiaomi 12S specs

The regular 12S will be the smallest and cheapest of the phones in the series, but don’t hold that against it. It’s available in black, purple, green, and a new white finish.

Xiaomi

It uses the same size 6.28in display as the Xiaomi 12, keeping things nice and compact. As you’d expect, it will be a 120Hz AMOLED at a Full HD+ resolution – exactly the same as its predecessor.

There are still some major performance upgrades though. The most obvious it that, like all the 12S phones, it will use the Snapdragon 8+ Gen 1 chipset. That should result in some modest performance gains, and perhaps better battery life – though the actual cell is the same 4500mAh capacity, with 67W wired and 50W wireless charging.

The camera has also been upgraded. The main rear lens is still 50Mp, but it now uses the improved Sony IMX707 sensor – the same used in the 12 Pro earlier this year – with OIS. Like all three of the new phones, it also features Leica branding on the rear to reflect the camera company’s work helping Xiaomi to optimise image quality.

As with all phones in the series, the Xiaomi 12S launches with Android 12 and MIUI 13 installed.

Here are the full Xiaomi 12S specs:

6.28in, 120Hz, FHD+ AMOLED display

Qualcomm Snapdragon 8+ Gen 1

8/12GB RAM

128/256GB storage

50Mp, f/1.9 OIS main camera

13Mp, f/2.4 ultrawide camera

5Mp telemacro camera

32Mp selfie camera

4500mAh battery

67W wired charging

50W wireless charging

Gorilla Glass Victus

152.7 x 69.9 x 8.2 mm

180g

Xiaomi 12S Pro specs

As with the regular Xiaomi 12 line, the 12S Pro sits only a little above the 12S in the hierarchy, and is differentiated by the fact that it’s larger, and has better specced cameras and display.

Xiaomi

Like the 12S you’ll get the Snapdragon 8+ Gen 1, but with slightly improved performance thanks to a larger cooling area. The chipset choice is essentially the only key upgrade from the 12 Pro.

The bigger 6.73in E5 AMOLED display will likely be a big draw to many, backed up by a dynamic 1-120Hz refresh rate and high 2K resolution – though this is essentially unchanged from the 12 Pro.

You also get the same fast charging as the 12 Pro (120W wired, 50W wireless) and the same rear camera setup.

Here are the full specs:

6.73in, 1-120Hz LTPO, 2K AMOLED display

Qualcomm Snapdragon 8+ Gen 1

8/12GB RAM

256GB storage

50Mp, f/1.9 OIS main camera

50Mp, f/2.2 ultrawide camera

50Mp, f/1.9 2x zoom camera

32Mp selfie camera

4600mAh battery

120 wired charging

50W wireless charging

Gorilla Glass Victus

163.6 x 74.6 x 8.2 mm

205g

Xiaomi 12S Ultra specs

The 12S Ultra is a more different phone. That’s obvious immediately from the design – not only is the 12S Ultra larger, it also has a totally different circular rear camera module, surrounded by a 23K gold ring.

Xiaomi

Unlike last year’s Mi 11 Ultra there’s no space carved out for a mini rear display, and instead this bank of space is all about the actual camera – though we’ll get to that in a minute.

The phone comes in a vegan leather finish, available in two colours: Classic Black and Verdant Green. It’s also IP68-rated for water-resistance.

As for the display, you get a 6.73in 120Hz LTPO 2.0 AMOLED in a 2K resolution. As with the other two phones, the 12S Ultra uses the Snapdragon 8+ Gen 1 chipset.

The Ultra is also set to impress on battery. It features a 4860mAh battery with 67W wired charging and 50W wireless – so it actually has slower wired charging than the 12 Pro, but with a slightly larger battery. It also includes a proprietary Surge G1 battery management chipset.

Xiaomi

Now let’s get to the camera. While early reports had suggested the Ultra might be the debut of one of Samsung’s 200Mp camera sensors, in fact the phone uses a brand-new Sony sensor for its main camera, at aperture f/1.9. The new IMX989 is notable for being a 1in sensor – similar to the one equipped by Sony’s own Xperia Pro-I.

It’s paired with 48Mp ultrawide and 5x periscope lenses in essentially the same camera setup as the Mi 11 Ultra, outside of the upgraded main lens. The fourth rear lens is simply a ToF sensor for depth detection, while the selfie camera is be a 20Mp shooter.

6.73in, 120Hz LTPO 2.0, 2K AMOLED display

Qualcomm Snapdragon 8+ Gen 1

8/12GB RAM

256/512GB storage

50Mp, f/1.9 OIS main camera

48Mp, f/2.2 ultrawide camera

48Mp, f/4.1 OIS 5x periscope camera

32Mp selfie camera

4860mAh battery

67W wired charging

50W wireless charging

IP68 rating

Gorilla Glass Victus

17 Best Samsung Galaxy Note 10 Plus Accessories You Should Buy

After months of endless rumors and catchy leaks, Samsung Galaxy Note 10 Plus (along with the 6.3″ Note 10) has finally been released. And looking at what the phablet has to offer, I can safely say that Samsung has set a pretty high standard. Just in case you have gifted yourself this all-new phablet and are hunting for the top-notch accessories to not only protect the device from accidental bumps and scratches but also get the most out of it, this comprehensive assortment of the best Samsung Galaxy Note 10 Plus accessories can play a pivotal role in helping you choose the accessories that can ideally meet your various demands. So, let’s jump right in to the list to explore notable options!

Best Samsung Galaxy Note 10 Plus Accessories You Shouldn’t Miss

While some accessories are a must-have to keep the smartphone safeguarded, others purely depend on needs. Then, there are the ones that can add style quotient to your Note 10 Plus. If spending a few extra bucks in favor of top quality isn’t a big deal, the premium accessories would be an obvious choice. But if there is a desire to kill two birds with one stone, there are quite a few items that offer great value for money. From cases to screen protectors to chargers to Bluetooth headphones, you can find all the best Galaxy Note Plus accessories to deck out your phone. So, let’s check them out, shall we?

Best Samsung Galaxy Note 10 Plus Cases, Screen Protectors, and Camera Lens Protectors 1. Official Samsung Galaxy Note 10 Plus Case

What better way to protect your all-new Note 10+ while also keeping the style factor intact than presenting it a nice-looking case. If you wish to go for a premium cover that can make an impressive match with your smartphone and also safeguard it from bumps and scuffs, the official cases would be right on the money.

Buy From Samsung: (price varies depending on the case you choose)

2. FYY Wallet Case

For the folks who adore classy looking design, FYY genuine leather wallet case seems to be a top-notch pick. Carved out of high-grade cowhide leather, this Galaxy Note 10 Plus sports an aesthetic appearance that can make a great match with your professional profile. And with three card slots along with a big cash pocket to boot, it’s got the quality to be your best travel companion.

But what has impressed me the most in this cover is the RFID shielding technology that makes sure the information of your cards remains safeguarded. Times when you may want to light up your media viewing, you can use the hidden kickstand functionality to watch videos hands-free. Even better, FYY Galaxy Note 10 Plus case also works with wireless chargers so that you can comfortably power up your phablet.

3. Spigen Ultra Hybrid Clear Case for Note 10 Plus

Showcasing a crystal clear profile, Spigen Ultra Hybrid case gives full license to Note 10 Plus to flaunt its elegant design. With the integration of durable PC and shock-absorbing TPU, the cover has the strength to offer the required protection to the phablet. Moreover, the rubberized bumper also plays a vital role in providing much-improved gripping.

To provide an additional shield to the Note 10 Plus’ screen and camera against scratches, Spigen Ultra Hybrid features raised bezels. Besides, the pronounced buttons are much easier to press. As for colors, this clear case comes in only two options: crystal clear and matte black.

By from Amazon: $11.99

4. Dome Glass Samsung Galaxy Note 10 Plus Screen Protector

Screen protectors are the most important line of defense for smartphones and tablets. So, you shouldn’t fail to offer a solid safeguard to Note 10 Plus’ Dynamic AMOLED display against accidental falls and ugly scratches. Speaking of screen guards, there is no dearth of options, however, the one that has caught my attention is from Dome Glass.

Made of top-grade tempered glass, this screen guard excels in providing trusted defense against bumps thanks to maximum hardness. And with the presence of rounded edges, this screen defender not only ideally fits on the screen but also offers full coverage. Moreover, it boasts high clarity and is extremely responsive to the touch. It might be a bit pricey but it is totally worth it.

Buy From Amazon: $49.99

5. PULEN Liquid Skin Screen Protector for Galaxy Note 10+

Besides, the liquid skin is also very sensitive and feels pretty smooth to the touch, giving full liberty to both your finger and digital pen to glide on the surface. As the PULEN screen guard is completely bubble-free, you can expect your installation to be pretty easy.

Buy From Amazon: $9.99 (pack of 3)

Note: Would you like to take a peek at more screen guards for your Note 10+? Jump over to this comprehensive lineup.

6. QHOHQ Galaxy Note 10 Plus Camera Lens Protector

Made of TPU material, the camera lens defender brings a bubble-free installation experience. And with the HD clarity, it ensures the lens works spotlessly without any interference. As for protection, it’s more than good enough to keep minor bumps and scratches at bay. Not to mention, QHOHQ offers this camera lens defender in four-packs without any extra cost.

Buy From Amazon: $9.99 (pack of 4)

Best Wireless Earphones / Headphones for Galaxy Note 10+ 1. Mpow Flame Sports Earphones for Galaxy Note 10+

Let’s put it across straight away! Mpow Flame is undoubtedly the best sports earphones designed for the mainstream users. With 11 mm dynamic drivers, the earphones offer more than decent sound. Up to 9 hours of playtime means it can comfortably last at least a couple of days on normal usage.

Buy From Amazon: $19.99 

2. COWIN E7 PRO Noise Cancelling Headphones for Note 10+

When you want to relish music to the fullest without being interrupted by background clamor, noise-canceling headphones become the need of the hour. Due mainly to the appreciable build quality and fairly impressive sound, I think “COWIN E7 PRO” is worth giving serious consideration. Not to underestimate, the headphones have got four and a half stars out of more than 4K customer ratings on Amazon.

Buy From Amazon: $89.99 

3. TBI Pro Wireless Earbuds for Galaxy Note 10+

Frankly speaking, I’m hugely impressed with what TBI Pro has to offer. Sporting a trendy design, the wireless earbuds are able to catch attention with ease. With the ergonomic design, the earbuds feel very comfy in the ear. As for sound quality, they have got the goods to live up to the billing – courtesy the sound chip from Qualcomm CSR 64110.

The earbuds also feature noise isolation technology so that you can enjoy hands-free calling without any disturbance from background noise. The charging case comes loaded with a 500 mAh battery to deliver up to 24 hours of music playtime. Once fully powered up, the earphones can last up to 6 hours, which is not a bad number at all. if you are looking for truly wireless earbuds for Galaxy Note 10+ at a budget, these are the ones to get.

4. Galaxy Buds for Note 10+

Apple’s AirPods are undoubtedly the best wireless earphones (under $200) as far as ease of use is concerned. However, if there is any contender that can give Apple’s earphones a run for their money, it has to be Galaxy Buds. The earbuds are pretty lightweight and incredibly comfy to wear. When it comes to sound quality, the Buds are up to the mark.

With the adaptive dual microphone technology, they can automatically recognize surroundings and switch between inner and outer mics to keep the background noise at bay. After being fully charged, the earbuds can last up to 6 hours. Moreover, you can pick them in three nice-looking colors: black, white, and yellow.

Buy from Amazon: $124.69

Best Samsung Galaxy Note 10 Plus Charging Accessories 1. Anker Wireless Charging Stand for Galaxy Note 10+

The stand is well-built and allows you to charge your smartphone both vertically and horizontally. As it’s designed to be case-friendly (Rubber/plastic/TPU), you don’t need to remove the case from your Note 10 Plus. Thanks to the highly efficient wireless charging coil, it can deliver 10W high-speed power to your smartphone. Aside from appreciable efficiency, Anker wireless charger also excels in providing the needed protection from threats like over-voltage, short circuit, etc. It does all that without putting a hole in your wallet.

Buy From Amazon: $19.99

2. Yootech Wireless Charging Stand for Galaxy Note 10+

Another thing that makes this Note 10 Plus charging pad very handy is the compatibility with most cases. So, you won’t have to take the pain of removing the cover from your device every time you want to charge it up. Even better, the charger is also sleep-friendly ensuring your sleep doesn’t get disturbed due to unnecessary light or sound.

Buy From Amazon: $13.99

3. Meagoes Car Charger for Galaxy Note 10 Plus

Imagine a situation when you are on a long drive and streaming music using your Note 10 Plus. Suddenly, your eyes fall on the battery status which shows your smartphone is running out of gas and just about to die. Wouldn’t appreciate it if there was a turbocharger to let you power up your smartphone rapidly? Most probably, yes! That’s why I think Meagoes car charger deserves to be in this collection of the best Galaxy Note 10 Plus accessories.

Buy From Amazon: $12.99

4. Mpow Gen-2 Car Mount for Galaxy Note 10 Plus

Mpow has long been my favorite car mount maker. Having tried my hands on its car mounts, I can vouch for the high quality. Talking about Mpow Gen-2 car phone holder, it has an extremely sturdy design and comes with a secure locking mechanism. Therefore, your Note 10+ will stay firmly intact even on a bumpy road.

Buy From Amazon: $10.99

5. BONAI Power Bank for Galaxy Note 10+

Times when you are on a long journey, it’s better to have a massive power bank to juice up the device conveniently without needing to look for wall chargers again and again. Speaking of a huge power bank, BONAI’s 30000 mAh external battery pack has you fully covered. With 4 USB ports, it can let you charge up to four devices including your Note 10 Plus simultaneously.

Beyond the high power efficiency, BONAI also makes sure your devices have the required safety while being charged by fighting out dangers like overcurrent and overheating. As for design, the power bank looks a bit sturdy to resist impact. Due mainly to the small form-footing, it’s also easier to carry even in a tiny pocket.

Best Watch for Galaxy Note 10 Plus 1. Galaxy Watch Active 2

A smartwatch is an elegant extension of a smartphone. And if you are toying with the idea of getting one for your brand new Note 10 Plus, you should consider “Galaxy Watch Active 2”. In a nutshell, what Apple Watch is for an iPhone, Galaxy Watch Active is for Galaxy devices.

 

The smartwatch flaunts an elegant design and comes with a customizable screen. It also doubles seamlessly as a health-centric device to keep a track of your movements and offer much better insight into how well you are performing. Furthermore, it features a stress tracker to let you find out your stress levels. And with the guided breathing exercises, it can go a long way in not only reducing stress but also offering the much-needed peace of mind.

2. Fitbit Versa

Looking for a more affordable smartwatch for your Galaxy Note 10 Plus? If your answer is yes, I would recommend you to try out “Fitbit Versa”. The smartwatch works efficiently in tracking all-day activities including heart rate and sleep stages. It comes with as many as 15 exercise modes to let you keep track of your workouts proficiently.

Thanks to the water-resistance up to 50 meters, you can swim your heart out. Beyond health and fitness, Fitbit Versa also lets you access your favorite apps. And with the real-time alerts, it keeps you notified as well. But what makes it an excellent bet is the solid four-day battery life. On top of all, you can choose this super handy watch in a variety of colors like mulberry, charcoal/silver, peach/rose and more.

Buy From Amazon: $129.95

Choose the Best Accessories for Your Galaxy Note 10+

Android Adaptive Battery: Everything You Need To Know

Limiting background apps

The most common way Adaptive Battery saves minutes to hours of battery life is by restricting how apps run in the background. As mentioned earlier, some apps can consume a lot of power without you knowing it. When Adaptive Battery is turned on and an app is running too heavily, you will get a notification with the option to put it to sleep.

Over time, Adaptive Battery will learn which apps take up the most background usage and limit some of their functions. This doesn’t really affect your phone performance, but it means the battery won’t drain drastically when your phone is idle.

Learning your habits

Another way Adaptive Battery lives up to its name is by learning the patterns of how you use your phone. After having Adaptive Battery enabled for some time, your phone will keep track of what apps you use the most, how long you use them, and how quickly your battery drains when not optimized.

Eventually, your Android phone will utilize this data to fine-tune how it expends a full battery so that it can last throughout your daily usage. A crucial piece of information in this equation is learning your charging habits. Once the time is regular enough, Android will start stretching your battery life to when it anticipates you will plug in your phone to charge.

Reducing performance

One of the subtler ways Adaptive Battery improves battery life is by slightly reducing performance. Chips take a lot of power, and your battery can last much longer if that power is reduced to match your current needs.

On Samsung Galaxy phones, a complimentary feature to Adaptive Battery in the settings lets you change your device’s processing speed. This tool can save you more battery life than Android’s Adaptive Battery does. The Exynos processor in the flagship S-series devices barely lags in the “optimized” state, either. However, the difference in performance can be more noticeable in other Android devices, but if you are out and about without a charger, that might not be a concern.

How to turn on Android Adaptive Battery

Here’s how to turn on Adaptive Battery on a Google Pixel or Samsung Galaxy phone.

Google Pixel

Navigate to the settings by swiping down from the top screen and tapping the Settings cog. Then tap Battery. Select Adaptive Preferences, and lastly, hit the toggle on Adaptive Battery.

Samsung Galaxy

Navigate to the settings by swiping down on the screen and tapping the Settings cog. Select Battery and device care. You can optimize your battery usage here. Tap the Battery readout near the top, then scroll down to select More battery settings. There, you’ll find the Adaptive battery toggle.

Adaptive Battery will treat all apps the same, but you can manually give certain apps exceptions or stricter limitations. Navigate to your Settings and select Apps. From there, select the app you want to manage, scroll down to choose Battery, and select the desired battery usage for that app.

Overall, Adaptive Battery is a great feature to extend the life of your Android device. If you find your battery isn’t lasting long enough, try turning it on or limiting the usage of energy-hungry apps. Remember that Adaptive Battery needs time to learn your usage habits and may not work immediately, but you should notice results soon enough.

FAQs

If you find your battery life isn’t lasting long enough, then you should consider turning on Adaptive Battery to meet your usage habits better.

Fast charging won’t damage your battery. However, if you leave your phone plugged in for an extended time, you might consider turning on Protect battery in More battery settings. This will limit the maximum charge to 85% to help extend the lifespan of your battery.

Adaptive charging can help extend the lifespan of your battery and keep your device from running hot while charging. Learn more in our guide.

Quite the opposite. Adaptive Battery reduces the amount that apps and background processes drain your battery, extending your device’s battery life.

You should typically keep the adaptive battery feature on. It learns your usage patterns and optimizes apps’ battery usage based on that, which can help extend battery life. However, if you find that important apps are being prematurely shut down or are not working correctly, you may want to consider turning it off.

No, the adaptive battery feature does not slow charging. Its purpose is to manage how apps use the battery, not how the battery charges. However, some phones have an adaptive (or smart) charging feature, separate from the adaptive battery, that can slow charging to prevent battery aging.

Yes, adaptive charging can improve battery lifespan over time. This feature is designed to control the charging speed and avoid keeping the battery at 100% for extended periods, which can reduce the battery’s overall lifespan. It usually works by learning your daily charging patterns and holding the charge at 80%, only to fill to 100% just before you typically unplug it.

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