Four best app building platform without knowing to code

Four best app building platform without knowing to code

4. GrapesJS

3. No Code 2.0

2. Famous

1. Code-free Startup 2.0

Special Attention:

Bubble 3.0

LEAGOO M13 6.1 Inch HD 19:9 IPS Waterdrop Diaplay Android 9.0 3000mAh 4GB RAM 32GB ROM

LEAGOO M13 6.1 Inch HD 19:9 IPS Waterdrop Display Android 9.0 3000mAh 4GB RAM 32GB ROM

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LEAGOO M13

LEAGOO M13 6.1 Inch HD 19:9 IPS Waterdrop Display Android 9.0 3000mAh 4GB RAM 32GB ROM MT6761 Quad Core 4G Smartphone - Twilight

The League M13 (M13) smartphone released in 2019. It is powered by MediaTek Helio A22 MT6765 chipset, 4 GB of RAM and 32 GB of internal storage.

The League M13 runs on Android OS v9.0 (Pie) out of the box. It comes with a Li-Po 3000 mAh, non-removable battery. It features a 6.1 inches IPS display with 600 x 1280 px resolution. IPS technology is one of the most leading LCD technologies in the world.

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LEAGOO M13 (M13) SPECIFICATIONS

Brand

Leagoo

Name

M13

Type

M13

Rating

★★★★★

 Rated 3/5 based on 62 user votes.

Launch

2019

BODY

Weight

160 g

Dimensions

155 x 73 x 9.4 mm

Colors

black

SIM type

Nano SIM

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 SYSTEM

The Leagoo M13 runs on Android OS v9.0 (Pie) out of the box, but the M13's firmware can be upgraded to a newer version of OS.

OS

Android OS v9.0 (Pie)

Chipset

MediaTek Helio A22 MT6765

CPU

Quad-core 2 GHz Cortex-A53

GPU

PowerVR GE8300

DISPLAY

Screen size is measured in inches, diagonally from corner to corner. The 6.1 inches IPS capacitive touch screen with 600 x 1280 px resolution is multitouch capable.

Technology

IPS

Size

6.1 inches

Resolution

600 x 1280 px

Multitouch

yes

MEMORY

The smartphone's memory (4 GB) cannot be expanded, but the storage (32 GB) can be expanded with a microSD card.

RAM

4 GB

Internal storage

32 GB

External storage

microSD

CAMERA

The camera of the Leagoo M13 is equipped with autofocus. Autofocus is a camera feature that fine-tunes the focus of the camera, it is a nice feature of this smartphone.

Front camera

5 MP

Rear camera

8 + 2 MP

3264 x 2448 px

autofocus

Flash

LED

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CONNECTIVITY

M13 is 3G and 4G capable. This smartphone has a built-in GPS receiver. GPS is a satellite based navigation system that allows the determination of the exact geographical location on Earth. The M13 comes with Near Field Communications (NFC) functionality for transferring content with other NFC-enabled devices. This Leagoo smartphone has an FM radio receiver.

GSM

850 / 900 / 1800 / 1900

Mobile network

2G / 3G / 4G

WLAN

Wi-Fi 802.11 a/b/g/n

Bluetooth

v4.0, A2DP

GPS

A-GPS, GLONASS

NFC

yes

FM radio

yes

USB

micro USB 2.0

Audio

3.5 mm jack

BATTERY

The Li-Po 3000 mAh, the non-removable battery gives the smartphone a good battery backup.

Type

Li-Po 3000 mAh, non-removable

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FEATURES

The smartphone sensors measure physical quantities and transmit them to the application processor. The phones' accelerometer is a built-in electronic component that measures tilt and motion. A fingerprint sensor is one of the easiest and most secure ways to protect your smartphone. The proximity sensor detects when a user is holding the phone near their face during a call and turns off the display to prevent keypad presses and battery consumption from the display. The M13 has Dual SIM capability, which means that you can insert two different SIM cards and use them both from one phone.

Sensors

accelerometer

fingerprint

light

proximity

Specials

Dual SIM

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How Organizations Protect Against Email Phishing and How To White-list Your Domain

To-Dos for  Postmasters:

Domain owners can publish a policy telling Gmail and other participating email providers how to handle messages that are sent from your domain but aren’t authenticated. By defining a policy, you can help combat phishing to protect users and your reputation.

Email Phishing and White-listing

To-Dos:

Domain owners can publish a policy telling Gmail and other participating email providers how to handle messages that are sent from your domain but aren’t authenticated. By defining a policy, you can help combat phishing to protect users and your reputation.

Email Phishing and White-listing

To-Dos:

Domain owners can publish a policy telling Gmail and other participating email providers how to handle messages that are sent from your domain but aren’t authenticated. By defining a policy, you can help combat phishing to protect users and your reputation.

How big IT companies detecting fake news at its source

Detecting fake news at its source

Machine learning system aims to determine if an information outlet is accurate or biased.

Adam Conner-Simons | CSAIL October 4, 2018

Lately the fact-checking world has been in a bit of a crisis. Sites like Politifact and Snopes have traditionally focused on specific claims, which is admirable but tedious; by the time they’ve gotten through verifying or debunking a fact, there’s a good chance it’s already traveled across the globe and back again.

Social media companies have also had mixed results limiting the spread of propaganda and misinformation. Facebook plans to have 20,000 human moderators by the end of the year, and is putting significant resources into developing its own fake-news-detecting algorithms.

Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and the Qatar Computing Research Institute (QCRI) believe that the best approach is to focus not only on individual claims, but on the news sources themselves. Using this tack, they’ve demonstrated a new system that uses machine learning to determine if a source is accurate or politically biased.

“If a website has published fake news before, there’s a good chance they’ll do it again,” says postdoc Ramy Baly, the lead author on a new paper about the system. “By automatically scraping data about these sites, the hope is that our system can help figure out which ones are likely to do it in the first place.”

Baly says the system needs only about 150 articles to reliably detect if a news source can be trusted — meaning that an approach like theirs could be used to help stamp out new fake-news outlets before the stories spread too widely.

The system is a collaboration between computer scientists at MIT CSAIL and QCRI, which is part of the Hamad Bin Khalifa University in Qatar. Researchers first took data from Media Bias/Fact Check (MBFC), a website with human fact-checkers who analyze the accuracy and biases of more than 2,000 news sites; from MSNBC and Fox News; and from low-traffic content farms.

They then fed those data to a machine learning algorithm, and programmed it to classify news sites the same way as MBFC. When given a new news outlet, the system was then 65 percent accurate at detecting whether it has a high, low or medium level of factuality, and roughly 70 percent accurate at detecting if it is left-leaning, right-leaning, or moderate.

The team determined that the most reliable ways to detect both fake news and biased reporting were to look at the common linguistic features across the source’s stories, including sentiment, complexity, and structure.

For example, fake-news outlets were found to be more likely to use language that is hyperbolic, subjective, and emotional. In terms of bias, left-leaning outlets were more likely to have language that related to concepts of harm/care and fairness/reciprocity, compared to other qualities such as loyalty, authority, and sanctity. (These qualities represent a popular theory — that there are five major moral foundations — in social psychology.)

Co-author Preslav Nakov, a senior scientist at QCRI, says that the system also found correlations with an outlet’s Wikipedia page, which it assessed for general — longer is more credible — as well as target words such as “extreme” or  “conspiracy theory.” It even found correlations with the text structure of a source’s URLs: Those that had lots of special characters and complicated subdirectories, for example, were associated with less reliable sources.

“Since it is much easier to obtain ground truth on sources [than on articles], this method is able to provide direct and accurate predictions regarding the type of content distributed by these sources,” says Sibel Adali, a professor of computer science at Rensselaer Polytechnic Institute who was not involved in the project.

Nakov is quick to caution that the system is still a work in progress, and that, even with improvements in accuracy, it would work best in conjunction with traditional fact-checkers.

“If outlets report differently on a particular topic, a site like Politifact could instantly look at our fake news scores for those outlets to determine how much validity to give to different perspectives,” says Nakov.

Baly and Nakov co-wrote the new paper with MIT Senior Research Scientist James Glass alongside graduate students Dimitar Alexandrov and Georgi Karadzhov of Sofia University. The team will present the work later this month at the 2018 Empirical Methods in Natural Language Processing (EMNLP) conference in Brussels, Belgium.

The researchers also created a new open-source dataset of more than 1,000 news sources, annotated with factuality and bias scores, that is the world’s largest database of its kind. As next steps, the team will be exploring whether the English-trained system can be adapted to other languages, as well as to go beyond the traditional left/right bias to explore region-specific biases (like the Muslim world’s division between religious and secular).

“This direction of research can shed light on what untrustworthy websites look like and the kind of content they tend to share, which would be very useful for both web designers and the wider public,” says Andreas Vlachos, a senior lecturer at the University of Cambridge who was not involved in the project.

Nakov says that QCRI also has plans to roll out an app that helps users step out of their political bubbles, responding to specific news items by offering users a collection of articles that span the political spectrum.

“It’s interesting to think about new ways to present the news to people,” says Nakov. “Tools like this could help people give a bit more thought to issues and explore other perspectives that they might not have otherwise considered."