iPhone 12 leak reveals design for all three sizes

A new set of iPhone 12 dummy units show an iPad Pro-like look — but they’re not final

As the  iPhone 12  gets closer to production, more than just renders are starting to circulate. Now there are dummy units making the rounds for the iPhone 12 that should be close to the final design. 

The latest dummy units revealed by leaker Sonny Dickson show all three sizes for the iPhone 12 lineup, and they definitely take their design inspiration from the  iPad Pro . But something seems off about the camera setups. 

As reported by  MacRumors , the iPhone 12 dummy units show a 5.4-inch model, a 6.1-inch unit and a 6.7-inch handset. And they all have have flat sides, which looks like the latest iPad Pro but is also a throwback to the iPhone 5. The edges also have more of a squared off look compared to the iPhone 11. 

Because the iPhone 12 Max and iPhone 12 Pro are both supposed to sport a 6.1-inch  display, it’s not clear which model the middle size unit is meant to represent. 

Another photo shows the three sizes side by side. Strangely, all three dummy units have three rear cameras, even though the regular iPhone 12 is rumored to feature just dual lenses. Only the 6.1-inch iPhone Pro and 6.7-inch iPhone Pro Max were supposed to get a third telephoto lens. There’s also no  LiDAR  sensor on these dummy units, which is rumored to appear at least on the Pro Max. 

It’s also telling that there are no images of the front of these dummy units. So we can’t tell if the notches on these phones are smaller, which has been rumored. To be fair, in Dickson’s tweet he says that the notch and cameras should “not be taken 100%” but that the chassis is “promising.” 

We’ve also heard that the iPhone 12 could be thinner than the iPhone 11 and that the iPhone 12 Pro may come in a new navy blue color. 

Other than the design, the iPhone 12 is expected to feature Apple’s powerful new A14 Bionic chip, 5G connectivity and 120Hz ProMotion displays on the iPhone 12 Pro models. 

Overall, these iPhone 12 dummy units are intriguing and seem close to the real thing. But they don’t look complete.

Source: https://www.tomsguide.com/news/iphone-12-leak-reveals-design-for-all-three-sizes

Automated hacking, deepfakes are going to be major cybersecurity threats in 2020

Artificial intelligence used to carry out automated, targeted hacking is set to be one of the major threats to look out for in 2020, according to a cybersecurity expert.

The tools and knowledge for developing malicious AI and machine learning codes are becoming more mainstream and there is a lot more data out there for hackers to gather and use, Etay Maor, chief security officer at cyberintelligence company IntSights, told CNBC.

“We will see the adoption of AI tools for targeted and automated attacks,” Maor said.

The idea of a computer program learning to attack things by itself and expanding its knowledge base to become more sophisticated is scary. But, it is a serious consideration given how the cyber-threat landscape has evolved in recent years and is seen as a major risk for the global economy.

In the past, defacing or taking down websites and stealing credit card information were considered major instances of cyberattacks. But, those attacks were costly because they required attackers to devote more time and resources to carry out. With AI, an attacker can carry out multiple and repeated attacks on a network by programming a few lines of code to do most of the work.

Deepfakes are a threat

Related to AI is the rise in the spread of disinformation and deepfakes, especially since 2020 is an election year in the  United States, according to Maor.

Deepfakes are images and videos created using computers and machine learning software to make them seem real, even though they are not. Experts predict that this technology could be used to cause confusion and propagate disinformation, especially in the context of global politics, and may become extremely hard to detect.

“These will be difficult to combat as attribution is becoming harder and harder and the technology, means, and infrastructure becomes more and more accessible for the attackers,” Maor said.

Other security experts agree. In an October blog post, Forrester Principal Analyst, Jeff Pollard, wrote that costs related to deepfake scams will exceed $250 million in 2020. Media reports suggest that some companies are already being tricked into wiring large amounts of money to scammers.

“Now that a precedent exists showing economic gains from AI-backed deepfake technology, expect more to follow,” Pollard wrote. “Expect the development of more deepfake-based attacks fabricating convincing audio and video at a fraction of the cost.”

Cybersecurity company Forcepoint predicted that cybercriminals could use deepfake technology to generate compromising photos and videos of individuals and threaten to release them if their ransom demands are not met.

“At the organizational level, deepfakes will also be used to impersonate high-level targets at organizations to scam employees by transferring funds into fraudulent accounts,” Alvin Rodrigues, senior director and security strategist for Asia Pacific at Forcepoint, told CNBC.

“In the political arena, we can expect deepfakes to be leveraged as a tool to discredit electoral candidates and push inaccurate falsehoods to voters via social media,” he added.

Related to deepfakes, cybersecurity firm Check Point said in October that a new cold war between Western and Eastern powers is taking place online due to a growing divergence in their technologies and intelligence.

“Cyber-attacks will increasingly be used as proxy conflicts between smaller countries, funded and enabled by large nations looking to consolidate and extend their spheres of influence,” the company said in a blog post. It pointed to the U.S. carrying out a secret cyber operation against Iran after the latter’s attacks on Saudi oil facilities.

Other threats

Beyond AI and deepfakes, there are a number of growing threats that security experts have predicted for 2020:

Supply chain and third-party attacks — IntSights’ Maor said that as large companies invest heavily in cybersecurity measures, attackers are likely to switch their focus on easier, smaller and less-funded targets: essentially those firms that supply the large organizations. He predicted that these types of attacks are likely to happen in areas such as health care, automotive and broadcasting. “This is a concern because there is only so much an enterprise can do to force security on its vendors,” he said.

5G will make it easier to steal data — Forcepoint’s Rodrigues told CNBC that wider adoption of the next generation of high-speed mobile internet , known as 5G, would allow cybercriminals to transfer large volumes of data from one server to another online at faster speeds. “With the roll-out of 5G continuing in 2020, we can expect to see an increase in the volume and speed of data theft,” he said.

Attacks on critical infrastructures will increase — Criminals attacking utilities and critical infrastructure will continue to grow next year, Check Point predicted in its blog post. “In many cases, critical power and water distribution infrastructure uses older technology that is vulnerable to remote exploitation because upgrading it risks service interruptions and downtime,” the firm wrote.

Geopolitics to drive cyber espionage and nation-state attacks — Cybersecurity company FireEye said in its 2020 prediction report  that geopolitical tensions are often a “significant driver of intrusions and disruptive attacks.” Nation-state activities are expected to continue developing and the firm said it has observed operations linked to Russia, China, Iran, and Venezuela to spread certain kinds of information. “While not limited to issues around elections, we often observe these activities to be particularly intense around elections,” the company said, pointing to various elections due in 2020 in places like Taiwan, South Korea, France, Poland, and the U.S.

Source: https://www.cnbc.com/2019/12/18/automated-hacking-deepfakes-top-cybersecurity-threats-in-2020.html

Indian Startup Makes AR Glasses That’ll Keep COVID-19 In Check

Indian Startup Makes AR Glasses That’ll Keep COVID-19 In Check

As lockdown restrictions ease further, the uneasiness associated with stepping out is only going to shoot up. “What if I unknowingly contract the virus?” is another plague that’ll take over minds all over the country when this does happen. To help ease this seemingly normal fear, Indian startup AjnaLens has developed a pair of augmented reality smart glasses that could be an effective way to keep COVID-19 in check in India. Called the AjnaTX Series, the smart glasses make use of augmented reality to layer information over live camera feed to provide useful information in real-time. With the attached infrared sensor, the startup claims that the glasses can scan up to 300 people in a matter of 3 minutes as its reading response time is less than 300ms. While thermal scanning is probably one of the most important aspects of the smart glasses, there’s much more to it. The glasses can monitor social distancing, identify individuals with facial recognition, estimate the age of individuals, track attendance, and detect if an individual’s wearing a mask or not. While the AjnaLens can be customized in their use (for instance, it can also help track attendance in offices along with temperature readings), they’re currently aimed at helping combat the pandemic. The results of the temperature readings are quite simple to understand. A red box around an individual signifies high fever with a temperature reading shown below. Similarly, an orange box means a person isn’t wearing a mask and doesn’t have a fever whereas a white box means the person is wearing a mask and doesn’t have a fever. While I might not be speaking on behalf of all, I won’t be stepping out of my house unless I know that precautions such as wearing masks and maintaining social distance are being enforced. It is here where a solution such as the AjnaLens smart glasses makes a profound impact. Not only does it help authorities in efficiently monitoring a crowd but it’s also likely to instil confidence in people who are sceptical of stepping out. Glasses like these will be immensely useful to public spaces like shopping malls, schools, commercial complexes, bus and train stations, and factories amongst other places. In fact, the startup is already in talks with multiple stakeholders including several state governments, shopping malls, and universities, amongst others, to have these glasses deployed. The price of the glasses ranges from INR 2.72 lakhs to INR 4.99 lakhs depending on the software capabilities that are chosen to be added. For inquiries and orders, you can head to their website. AjnaLens was established back in 2014 and claims to have designed and manufactured AR/VR/MR solutions for Defence, Education and Enterprise. Earlier this year, the startup also raised $1.5 million in a Pre-Series-A funding round led by Maharashtra Defence and Aerospace Venture Fund (MDAVF) and HNI investors like Nailesh Khimji, Chirayu Khimji, Jay Jesrani, and Mohsin Group. Delhi-based startup Indian Robotics Solution also came up with a similar solution, officially known as the Thermal Screening Headgear, that would help authorities scan body temperature from a safe distance. You can read more about them below.

Source: https://in.mashable.com/tech/14527/indian-startup-makes-ar-glasses-thatll-keep-covid-19-in-check

How artificial intelligence is transforming the future of digital marketing

From smart search options and personalised messaging to being used in campaigns and marketing, AI and machine learning are increasingly being used in digital marketing.

AI in digital marketing

Digital marketing relies on leveraging insights from the copious amounts of data that gets created every time a customer interacts with a digital asset. Algorithms optimise various factors and data points that influence digital marketing success. In 2020, we anticipate a significant uptick in the mainstreaming of AI and machine learning use cases in digital marketing across several areas.

Search will get very smart

In the past year, online search has had several AI and machine learning developments. Google is leading the pack with exciting applications in information retrieval. For example, Google’s BERT technology can process a word in the context of all the other terms in a sentence, rather than one-by-one in order. BERT also enables anyone to train their own state-of-the-art question answering system. Customisation of search results and the results page based on learnings from past interactions and preferences of a user is another application of machine learning used in search.

AI-driven personalisation of messaging

Several adtech companies have been focussing on using AI and machine learning to find the right audience to write better ads than humans, and to increase conversion rates and engagement with the target audience. There are also several AI-led developments in the area of creating dynamic ads and landing pages to personalise marketing messages on the fly. AI has an application in content creation in terms of determining the logic of personalisation as also curating content specific to an individual, using techniques such as natural language generation (NLG).

Use of machine learning in campaign operations

Platforms such as Google and Facebook have been at the forefront of AI/ML applications in marketing. Starting from smart bidding and smart campaigns to auto-generated ads, Google is making it easy for advertisers. Smart bidding options such as TROAS, TCPA, and others use advanced machine learning algorithms to train on data at a vast scale to make accurate predictions about how different bid amounts might impact conversion or conversion value and assist advertisers in optimising without getting into too many details. Google factors in a wide range of contextual signals (through search data) to predict user behaviour and to influence auction time bidding as per the goal set by advertisers. Facebook has also incorporated machine learning across campaign planning and execution, as also in ad placements and ad delivery. Similarly, on the organic search side, machine learning-based product ALPS reverse engineers Google’s ranking algorithm, and is able to accurately quantify ranking drivers, provide precise recommendations for changes, and predicts the impact of SEO actions before they are implemented. Similar technology to drive improved ad copy testing in digital marketing exists. These help in evaluating ad copies and landing pages on various parameters like relevancy, use of action promoters/inhibitors, urgency inducers, page layout, load times, etc., to gauge the impact on ad relevance, expected CTR, and landing page experience.

Future trends

AI will also have additional application in digital marketing with the uptick in the adoption of technologies such as VR and AR, as commercial use cases of these technologies find wider adoption in retail and other sectors. Many retailers are also testing AI and VR/AR technologies together to make the user experience personalised to an individual. Other areas of impact include voice search. We will increasingly see ads about things which we just said or talked about, but haven’t searched for yet. Similarly, image search is also being used by many brands for their consumers to match patterns and identify products using image search.

Source: https://yourstory.com/2020/05/artificial-intelligence-transforming-future-digital-marketing

AI-powered marketing needs interpretability – and collaboration

The business world is gearing up for an artificial intelligence (AI) revolution, as the budding technology is expected to grow into a $118.5bn industry by 2025.

Many organisations are already embracing AI’s predictive abilities to automate repetitive tasks. For example, AI allows systems to process increasingly more complex types of input data, like natural language and images. Handwriting recognition uses image recognition to eliminate boring data entry tasks. The Alexa assistant you have at home can understand the intent of your request from the soundwaves of your voice and answer appropriately – and for much cheaper than a real-life assistant.

While computers have obvious strengths, the ability to draw on gigabytes of data for example, humans have many unique capabilities which machines currently struggle with. The natural ability of humans to communicate and collaborate currently dominate that of machines, and this is particularly important in situations where humans and machines must work together, such as where a human has a legal duty to understand outcomes, e.g. law or medicine. Other knowledge work, where human decision making cannot be replaced, but may be augmented by machine insight, poses similar challenges for current AI systems. This inability to collaborate is holding back wider AI adoption and innovation.

Marketing and AI

Let’s consider this problem through the lens of marketing, a normally tech-savvy industry which, in a lot of ways, is being surprisingly slow to innovate with AI.

Automation is already being used very effectively for repetitive tasks such as ads targeting and bidding. The real-time matching of adverts to viewers is facilitated by machine intelligence at some of the most innovative companies in the world, dynamically predicting click through rates and optimising ad selections on the fly.

But when it comes to more strategic, creative decisions – such as what ad creatives the team should use – AI struggles to be as effective because it can’t easily explain it’s decisions.

To put it bluntly, AI does not seem to be a very good teammate.

The black box of AI

Normally, the better at predicting an algorithm is, the more unintelligible it’s workings are. This lack of interpretability is what we call the ‘black box’ of AI and it has deep implications for how marketers stand to benefit from the technology.

For example, imagine that you had an AI model which was trained to predict whether your next ad was going to appeal to the audience that you’d selected for it. This could be useful, say, to show to the client that the creative treatment is a winner in an objective way, or to test new creative elements quickly and cheaply. But if the model says your creative is going to underperform, but can’t explain why it’s making that judgement, how are you going to make the ad better?

Content creation is expensive and time-consuming, so creating 100 ad creatives in the hope that you will find the best-performing one is inefficient. The black-and-white results which machine learning algorithms tend to provide isn’t enough for marketers to glean any actionable insights.

What if AI was interpretable for marketers?

Data-driven systems such as AI can be seen as existing on a scale from descriptive – discussing the past –to predictive – a system that can understand the future – and finally prescriptive – understanding how to change the future.

An AI system which could explain its decisions and outline what the user could change to get a better result would be a prescriptive system and would be a huge step toward finding a common language between human and machine.

That said: it’s really hard! Current interpretability methods are more aimed at researchers than business users. So what can we do to make AI more collaborative?

Collaborative AI

For AI to be a part of creative marketing decision-making, measures need to be made to combine the analytical with the artistic. This means finding a common language between man and machine, so that users can actually action suggestions from the AI.

Top 10 Android App Development Frameworks

in 2020

Have you ever wondered where most of the time went by? Confused? Mobile Apps, it is then, where most of your hours get consumed while surfing various applications on the go.
Businesses are currently concentrating their quality on versatile applications to reach and set up better relations with their clients and make their life easier.
Nowadays, Android remains the best OS for mobile app developers when it is about building custom apps. Android app development market has taken the biggest share of the current devices because numerous application designers see Android be progressively more adaptable. Android future is expected to have speedy boost in 2020, somewhere because of COVID- 19 as well, as the per the survey people are spending most of their time on cell phones using various applications.
In order to reach companies are shifting from desktop applications to mobile applications, which is the best way to reach targeted audiences.
There are number of android app development tools and frameworks that you can look forward to in 2020:

1) React Native:

With React Native, you can write once and learn anywhere. Now you can create native apps for Android and iOS using React.
This app development framework will combine the best parts of native development with React, a best-in-class JavaScript library for building user interfaces.
React Native doesn’t let you compromise on your user’s experience. Through the intensity of JavaScript, React Native gives you a chance to repeat at lightning speed.

2) Xamarin:

Now you can deliver native android, iOS, and Windows apps with a single shared .Net codebase.
Xamarin is different because it utilises a single language C# and runtime that works on multiple mobile platforms such as Android, iOS and Windows.
It reduces the time and cost of mobile app development. Through Xamarin, you can develop a mobile app which looks and feels completely native.
Also, it allows the flexibility to write core logic using C# and gives the flexibility to design native user interface specifically for each platform. The amount of code reuse will depend on how much code is kept in core and how much moves into user-interface.

3) Ionic:

In Ionic, there is one codebase for any platform built on standard web technology. Ionic helps to create and ship cross-platform hybrid apps. Create native apps binaries in the cloud with Ionic package to get from code to app store with no platform dependencies or complicated built steps.
Now you can manage and view all your Ionic apps in a central, shared dashboard with live activity feeds to see how your development projects are progressing.
This app development framework will let you deliver live app updates, content changes, A/B tests, bug fixes, and more—before or after your app goes into the app store.

4) Appcelerator Titanium:

Appcelerator Titanium is a cross-platform app development framework. visually designs and develops apps for iOS, Android, and Windows.
The Titanium SDK helps a developer to build a native cross-platform mobile application using Javascript and the Titanium API.
Through this mobile application development framework, one can easily develop native, hybrid mobile applications from a single code-base.
Easily create complex custom effects like dynamic animations. You can easily run Java, Objective C or Swift code alongside Titanium code.

5) Corona SDK:

Corona SDK is a mobile app development platform where one can easily create apps and games for mobile devices and desktop devices.
Corona SDK is free and simple to set up when you start developing an app. In addition, it offers continuous recreation of your app preview.
With this platform, developers can develop a project once and publish it on multiple devices, including Apple iPhones, Android phones, Amazon Fire, Mac Desktop, Windows Desktop and much more.

6) TheAppBuilder:

The AppBuilder creates Android native apps and responsive web versions for desktops and other screens. This app platform will instantly apply any published changes to all the users across all devices.
The inbuilt system offers several pre-built frames for various functionalities, for example, surveys, inputs, message pop-ups, examinations, and related updates.
It additionally incorporates quickly with Google Play, which aids in simple distributing of substance. Apart from this, you can likewise give highlights to gauge your organization’s results and upgrade your staff correspondences.
In this way, on the off chance that you are wanting to manufacture a versatile application however are frightened of codes and dialects, this system is ideal for you.

7) NativeScript:

 With NativeScript, you can build native android and iOS apps through Javascript. It is an open-source framework to build native mobile apps with Angular, Vue.js, TypeScript, or JavaScript.
It will help present-day JavaScript, TypeScript, CSS, Flexbox and other web abilities.

8) AdobePhoneGap:

 AdobePhoneGap is an open source distribution of Cordova. This app development framework has been given the advantage of technology to create a diverse team of pros along with a robust developer community to access the PhoneGap toolset, so you can get to mobile faster.
This app development framework will make it easier for you to work in cloud as your apps are always built with the most up-to-date SDK for the platform you are targeting.
By compiling the builds faster, all updates will be pushed directly to testers’ for the previously installed apps, ensuring everyone is working on the most up-to-date version.

9) SenchaTouch:

 Build web apps faster with Sencha Java & Javascript Frameworks with 140+ high performance UI components.
It enables android programmers configure, create and test Android applications. This app development framework can be used by web developers to develop user interfaces for mobile web applications that look and feel like native applications on supported mobile devices.
It facilitates easier web development of HTML5 based mobile apps which run on Android, iOS, Windows, Tizen and BlackBerry devices, simultaneously allowing a native look and feel to the apps.

10) JQueryMobile:


jQuery Mobile is an HTML5-based UI framework that enables you to structure a solitary exceptionally marked responsive site or application that will take a shot at all cell phones, tablets, and work area stages.
To make exceptionally modified subjects simpler, jQueryMobile made ThemeRoller for Mobile to make it simple to move and download a custom topic.


Now, you must have got the idea on the latest app development tools and frameworks that you can use in 2020.
While going through the blog, you’ll get to know about the top versatile application improvement systems which can assist you with completing the development of your Android app.
For android development framework expertise, you will have to hire android developers to accelerate your android app development vision for 2020.

Source: https://hackernoon.com/top-10-android-app-development-frameworks-in-2020-ghix3yqo

Wait for iPhone 12 drags on as Apple delays production by a month


Apple is delaying mass-production of the iPhone 12 lineup by around one month, according to a Monday report from The Wall Street Journal.

Sources blame the ongoing COVID-19 pandemic for the delay, which is likely to mean Apple’s next-generation handsets won’t be available until October. A trusted source for Cult of Mac recently made  the same prediction .

“Apple Inc. is pushing back the production ramp-up of its flagship iPhones coming later this year by about a month, according to people familiar with the changes,” reads  the report , which requires a WSJ subscription.

Sources blame weakened global demand, with consumers spending less on non-essential purchases during the pandemic — and on COVID-19 disruptions to key Apple manufacturing partners in Asia.

Expect an October debut

Recent reports have indicated Apple plans four different iPhone 12 models, in three different sizes, for a 2020 release. They’re all expected to offer faster 5G connectivity, Apple’s next-generation A14 chipset, and other big improvements.

It’s likely Apple would have been aiming to launch all four devices in September, as is tradition for flagship iPhone introductions. To meet that timeline, however, mass-production has to take place over the summer months.

That’s not going to happen this year, at least not at the rate Apple requires, thanks to the global pandemic. So, although Apple could still debut its newest handsets in September, we may not get our hands on them until October at the earliest.

Apple cuts iPhone 12 orders

In addition to delaying production, Apple has also slashed iPhone 12 orders, the report reveals. Sources say the number of units it plans to manufacture in 2020 has been reduced by as much as 20%.

Supply chain sources recently claimed Apple was pushing forward with what they believed were  unrealistic iPhone 12 sales estimates . They warned, however, that Cupertino could revise its figures before mass-production began.

Today’s WSJ report echoes similar claims made by reliable TF International Securities analyst Ming-Chi Kuo, and by a source for Cult of Mac, which both predicted  an October launch  for iPhone 12.

Long-time iPhone fans will remember a similar delays for iPhone X and iPhone XR. Both handsets were unveiled in September 2017, alongside iPhone 8 and iPhone 8 Plus, but they did not start shipping until October and November 2017.

Source: https://www.cultofmac.com/705351/apple-delays-iphone-12-production-wsj/