Sunday 28 February 2021

5 Great Smartphone Photography Ideas – Fstoppers

Smartphones have more and more powerful cameras and tech behind them as the years roll on, opening opportunities for shoots with just your phone.

I have always opted for smartphones with strong cameras, even though I spend most of my life with one or more cameras by my side. In the last five years or so, I’ve started to treat my phones as an accessory for my photography anyway, using their brilliant screens as external monitors, as remotes, and even as wide-angle setups. Then, with the advent of phone gimbals, they are brilliant for b-roll with most shooting 4K at 60fps, quite comfortably!

In this video, COOPH takes you through some concepts for shots that you can complete with your phone. In all honesty, you can recreate most with your camera and a wide-angle lens, but a phone’s small form factor, wide lens, and high resolution lend themselves well for creating images with front-to-back focus. I’m not which smartphones have the light painting feature built-in, but I’ll check mine later for that as the model car image in this video is superb.

What’s the best shot you’ve ever captured with your smartphone? Could have done better with your camera?


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Oppo A74 is in the works, bags multiple certifications

Oppo is working on a successor of the A73 smartphone, unsurprisingly named Oppo A74.

The device has a model number CPH2219 and has been certified at multiple organizations, including the FCC, the Bureau of Indian Standards, TKDN in Indonesia, the Eurasian Economic Commission, Wi-Fi Alliance, among others.

Oppo F17 ProOppo F17 Pro

All the listings gave us a sneak peek of the specs sheet. Multiple certifications confirmed the Oppo A74 will have Android 10 out of the box, likely with ColorOS 7 on top. Thanks to the China Quality Certification, for example, we have also learned the new phone will have 33W fast charging, an update from the 30W on the LTE-only Oppo A73 and the 18W on its 5G sibling.

Speaking about the connectivity, the CPH2219 is likely a 4G smartphone, because another device, model numbered CPH2197, has been certified with 5G connectivity options and a 5,000 mAh battery.

Unlike its LTE version, this Oppo A74 will have Android 11 with ColorOS 11 out of the box.

Via 1 • Via 2

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Axonius raises $100 million to protect IoT devices from cyberattack

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Axonius, a cybersecurity startup developing an end-to-end device management platform, today announced that it raised $100 million in series D funding led by Stripes, valuing the company at over $1 billion post-money. Axonius says it’ll use the proceeds to scale growth globally and to expand its platform to meet market demand.

By 2020, Gartner predicts that there will be more than 20 billion connected devices globally — a number that has some executives worried. In a recent survey conducted by Spiceworks, 90% of IT professionals expressed concern that the influx would create security and privacy issues in the workplace. And in a separate study commissioned by eSecurity Planet, 31% of internet of things (IoT) developers said they considered the software or firmware for connected devices the greatest “trouble spot” for cybersecurity.

Axonius’ agentless solution streamlines asset management and spotlights coverage gaps by automatically validating and enforcing security policies. It connects with existing software and networking gear to build an inventory of assets that spans cloud and on-premises environments, whether the devices are managed or unmanaged.

Axonius supports one-off and ongoing queries that help to illustrate how assets relate to security policies, and it packs in trigger functionality that enables the programming of rules that kick off enforcement responses like software installs and device scans. Its cybersecurity capabilities are bolstered further by support for third-party apps and services — Axonius integrates with over 200 platforms including Active Directory and cloud instances like Amazon, as well as endpoint protection tools, NAC solutions, mobile device management, VA scanners, and more.

For instance, the company’s recently launched Cloud Asset Compliance service leverages data from public cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud to automatically determine how cloud workload, configuration details, and accounts comply with industry security benchmarks. One of those benchmarks is CIS Benchmarks, a set of continuously verified best practices for securing systems and data against attack.

Axonius counts among its rivals Zededa, which raised $15.9 million in February; Armis Security, which secured $65 million in April; Vdoo, which recently nabbed $32 million; and Mocana, which raised $15 million in March. In any case, Axonius currently covers millions of devices for customers including New York Times, Schneider Electric, Landmark Health, and AppsFlyer. And with an eye toward growth, in February the company expanded its platform for use by federal agencies.

But Axonius claims it took less than 15 months to grow from $1 million in annual recurring revenue to $10 million. And last year, it doubled its staff, achieving triple-digit growth in 2020.

Axonius, which was founded in 2017, has offices in New York and Tel Aviv. Lightspeed Venture Partners with participation from existing investors OpenView, Bessemer Venture Partners, YL Ventures, Vertex, and WTI. This latest round follows a $58 million round in March 2020 and brings the company’s total funding to $195 million

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Press Release: WiFi Home Automation, Fad or Favoured? – PRWire

With the sheer rising number of WiFi enabled devices appearing on retail shelves, do they help, are they here to stay or fade away like the cronut !?! 

Comstel, a business telephony and data solution provider has taken this challenge  to task. 

To best address this, they first had to study the challenges most people reported with their WiFi installation and devices.

The findings were such that despite the new higher speed internet links offered by NBN providers or the likes, most households and small businesses were still challenged with coverage, consistency of speed and the number of simultaneously connected devices.  This was exasperated by the growing #work@home culture. 

Whilst most service provider’s WiFi installations support 5 – 6 concurrent devices within a confined space, an average working family of 4(with teens), are found to have more than 18 devices across several spaces( phones, computers, gaming devices, TVs, printers, etc… ). 

Now,  with all that going on, how can it be expected that the camera-doorbell is going to work stably, all the way out the front of the house… let alone your WiFi porch light ?   

We all adore talking to our ‘lights’n’things’  through our Google Nest speaker, changing ambiance of an evening, especially between dinner preparations and relaxing in front of our favourite nightly shows. 

Moreso, managing parental controls to cut the internet off for the kids at bedtime is priceless!!! But, we mostly enjoy the ‘peace of mind’ we get with our doorbell and outdoor cameras, for safety and security.  To have made this all work seamlessly may have proven a challenge and costly in the past. 

“But, not any more!!!” says one of Comstel’s founders, Luis Gonzalez, “between constantly hearing of these challenges, whilst more tech savvy people enjoyed the benefits of that ease and productivity, compelled me to devise a solution accessible to all.” 

He added; “An ‘all in one’ working solution, that not only addresses the issues of speed, coverage and connectivity, but offered some affordable ‘plug-n-play’ automation devices to immediately try out and experience, before going out and spending hard earned money on devices which which may not work over conventional WiFi.” 

Resultantly, Comstel released two(2) accessible Value Packages that address the ‘beauty and the beast’  of internet@home. 

The value packs include a Whole Home Mesh WiFi Backbone System to alleviate all those WiFi challenges and bug-bears. It also provides a whole host of included bonus devices like LED light, smart power switch, gigabit network switch, camera and a Google Nest Speaker along with  some great Apps and useful bonus vouchers.   

Overall, a value for money,  comprehensive whole home WiFi solution with a host of bonus devices for everyone to try and enjoy planning what can be automated for ease, security and productivity. 

OTHER TYPES OF DEVICES YOU CAN CONNECT YOUR WHOLE HOME MESH NETWORK TO: 

Front Video Door Bell &  Door Locks, Gate and Garage Video Door Bell &  Door Locks, Alarms Outdoor Security Cameras, Garden Lights & Sprinklers, Garage Doors(s), Light Globes & Switches

Air Purifiers & Humidifiers, Air conditioners,  Wifi enabled White/Brown Goods & Appliances,

Window Shades & Coverings, Curtains & Blinds, TVs & Sound Systems, Audio & Video Streaming Devices, Night lights & Motion Sensors, and Much More….!!!

| END | 

Comstel

Retail Solutions: www.comsteldist.com.au

Business Solution: www.comstel.com.au

Copyright © | 2021 | Comstel Corporation Pty Ltd | All rights reserved.

Authored by Patrick Le Gentil 

Approved by Luis Gonzalez

Comstel Corporation Pty has been providing business telephony and data solutions for several years, including their self branded mobile and NBN services powered by Telstra. Since the commencement of the covid pandemic their business subscribers have been requesting work@home enablement for their staff. Whist basic telephony probability is quite fundamental nowadays, but making it all work on a conventional home network proved challenging. Hence, the emergence of these Whole Home Wifi Mesh Packages as a ‘go to’ work@home enablement solution. Now, Comstel prides itself on making these packages available as a retail point of sale offering. 

 

Additional information can be obtained by email: info@comstel.com.au

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Algorithms and (Artificial) Intelligence: Hype vs. Reality – Destination CRM

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ALL THAT has transpired over the past year has hugely affected how business is done—so much so that it can be hard to make rhyme or reason about technologies and how and why people engage with them. Common knowledge going into last year was that if you empower good people with good processes and the right technology, you end up with good outcomes. What we have come to realize, especially with CRM, is that it is critical to understand what you are deploying and what the end game looks like.

With your business’s tech stack, you must understand what the underpinning technology is attempting to achieve, whether it solves a problem you have or is just another loud flashing buzzer at the fair that gets your attention but does little else. The key here is to understand the difference between code and intelligence.

Circa February 2020 many companies started to see exactly how bad their CRM data was and quickly spent crazy amounts of money trying to address it. When these companies began to solicit enablement tech stacks, one thing became clear, as Michael Lewis paraphrased in Liar’s Poker: “Warren Buffett is fond of saying that any player unaware of the fool in the market probably is the fool in the market.”

What does this mean vis-a-vis code vs. intelligence? A code-based tool relies on an algorithm. In other words, the code will move forward, based on a specific use case, to bring you data points. Those data points could be bad or irrelevant—or wonderful, deep, and expansive. Either way, it is a crap shoot that’s dependent on the market you serve, the algorithm’s relation to that market, and the frequency of data updates.

If all of this is starting to make your head spin, welcome to the club. That’s why enablement solutions are starting to focus more on intelligence. An intelligence tool presents data in a way that considers the information you’ve gathered and how you use it; learns from the data to get better at making recommendations; and then refines it. The byproduct will generally result in less data, updated less frequently, but will be more impactful to your business.

THE “SALES INTELLIGENCE” EXAMPLE

When consulting with a client recently, I took part in an intense boardroom talk about sales intelligence, how it differed from CRM intelligence and how it fared against data intelligence. It was a fun exercise to dissect these concepts and come to some conclusion. And we found interesting examples of how this plays out in real time.

For those unfamiliar with sales intelligence tools, they often combine information from platforms such as email, websites, and conference calls to provide sellers with insights or data points that can help drive results. Their advantage is that they easily integrate into popular CRM tools, but their potential drawback, it turns out, is that they often operate with the purpose of sequencing information for sales organizations. Example: How many conversations did we have with a C-suite executive; how long were those conversations; and what were the percentages of each person speaking? These items are collections of data, but do they help answer the question “How is this going to help me win a deal?”? Not always.

Closely related to sales intelligence is CRM intelligence. And while there is intrinsically lots of value in combining transactional information with people information, the intelligence from AI solutions based on CRM data is only as good as the model and the underlying data. When the latter’s quality has not been addressed, how good can the model be, and therefore the CRM intelligence?

Finally, there’s data intelligence—a solution that scrutinizes data, learns from itself, and provides only valuable data points to other platforms, like CRM, that can influence outcomes. A data intelligence solution would provide insights on key decision makers beyond just their title, how many times one of your employees had an interaction, and for how long. The ability to get more and better insights, combined with operational, transactional, financial, and even people-engagement data, can truly flip the script on how you approach solutions that work on top of your CRM or CX platform.

Before wading through the acronym alphabet soup of AI, CPQ, ACV, CLV, BI, MDM, and ERM, maybe an exercise in understanding what outcomes you need will make the process of evaluating solutions much easier. 

Danny Estrada is Director, Enterprise Solutions, at Introhive, and has spent more than 25 years helping organizations implement and adopt CRM platforms. Throughout his career, he has been an author and thought leader on adoption, as well as a speaker for many industry leaders like Salesforce.com and Microsoft. His experience includes leading a CRM consulting practice and serving as a management consultant across hundreds of CRM implementations. He was recently featured as a thought leader in Harvard Business Review’s “Winning with Client Relationships” white paper.

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Qualcomm veteran to replace Alain Crozier as Microsoft Greater China boss

Microsoft is getting a new leader for its Greater China business. Yang Hou, a former senior vice president at Qualcomm, will take over Alain Crozier as the chairman and chief executive officer for Microsoft Greater China Region, says a company announcement released Monday.

After eight years at Qualcomm where he led sales and business development, Hou will spearhead strategy, sales and operation for Microsoft in the Greater China region. Hou was credited for achieving 3X revenue growth for Qualcomm’s semiconductor business and fostering partnerships in the smartphone, industrial and automotive industries in China, according to the announcement.

A native of northeast China, Hou had a five-year stint at McKinsey & Company after he graduated from the University of Michigan and Peking University.

Crozier joined Microsoft back in 1994 and will officially pass the torch to Hou in July. His next step is yet to be announced.

Crozier is resigning at a time when China is racing to outrace the U.S. as the global technology leader. The ongoing U.S.-China trade dispute has shaken the global supply chain, jacking up manufacturing costs for American hardware makers. Meanwhile, a number of legacy U.S. tech giants are scaling back their presence in China, where historically they have maintained research teams to better grasp the flourishing Chinese market.

In 2019, Oracle laid off hundreds of staff at its R&D center in China. Last year, IBM closed its R&D center in China after 25 years in part due to increased labor costs, former employees told TechCrunch.

The Microsoft counterpart, Microsoft Research Asia, is widely respected and regarded as the “West Point” for China’s artificial intelligence scientists. Famed alumni include ByteDance founder Zhang Yiming and the founder of autonomous driving unicorn Momenta.

Compared to its fame in China’s tech industry, Microsoft’s revenue in China is modest as a result of rampant piracy and competition. In a 2018 interview, former Microsoft CEO Steve Ballmer said 90% of companies in China were using the Microsoft operating system but only 1% were paying for it.

On the new business front, Microsoft has tried to peddle its Azure cloud computing product to Chinese enterprises but has so far been dwarfed by domestic players Alibaba, Tencent and Huawei.

China contributed less than 2% of Microsoft’s annual revenue, or around $2 billion, president Brad Smith said in January 2020.

Like other foreign tech firms operating in China, Microsoft is often caught in the middle between local authorities and speech advocates. Its professional social network LinkedIn and search engine Bing have both been criticized for censoring content considered sensitive by the Chinese government.

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These are the top Android 12 features to get you excited

Google has released the first Developer Beta of Android 12, and as the name makes it clear, it is intended for developers to test the new APIs and accordingly tweak their apps in accordance with Google’s new vision for its mobile operating system. This is far from what the stable version looks like, but the first developer-centric build of Android 12 has already given us a glimpse of the changes that will greet users, both major and minor. Here’s our pick for the top Android 12 features we’ve seen so far:

NOTE: Some of the Android 12 features mentioned have to be enabled manually, or are still in the development phase in the first Developer Preview released by Google.

Personally, no other convenience tops it for me than a native scrolling screenshot feature. I am heavily reliant on this feature on my secondary phones running skins such as OnePlus’ Oxygen OS and Xiaomi’s MIUI, but my daily-driver Pixels haven’t had a native solution for it. Thankfully, Android 12 finally adds this convenience, and I can’t wait for it to roll out widely with the stable Android 12 update for all Pixel users at some point in August.

Wi-Fi password sharing made easier

Google released Nearby Share – its wireless file transfer tool for Android phones – back in August last year, and has kept improving it ever since. With Android 12, Nearby Share gets yet another useful trick – the ability to share Wi-Fi passwords. All you have to do is hit the Nearby button on the Share Wi-Fi screen, let it scan, and find the device that you want to share the password with.

One-handed mode

For folks like me with smaller than average fingers, using a large phone such as the Pixel 3 XL was nothing short of a daily struggle. Thankfully, Android 12 is introducing a native one-handed mode that will solve the reachability issue. Though it currently doesn’t look as polished as its implementation by other OEMs, it is definitely good to see this convenience arrive with the first developer preview of Android 12.

A more granular theming system

In Android 12, you’ll get deeper customization controls with a fresh approach to theming. For example, UI elements such as accent colors and notification backgrounds change their hue based on the wallpaper you have set on the home and lock screen. This approach also extends to the settings menu where the background and slider colors are also tweaked accordingly.

Image: XDA-Developers

Privacy indicators

Android 11 introduced a nifty feature called one-time permission that allowed users to grant an app temporary access to their device’s sensor (or any other data-related parameter) as long as the session lasts. In Android 12, Google is taking a more proactive approach in that direction, showing warnings even in system apps if they are using the mic or camera. Additionally, you will able to shut off access to your phone’s camera and mic for all apps using dedicated quick action tiles.

Accessing notifications shade made easier

On Pixels, you have to reach all the way to the top and perform a swipe-down gesture to access the notifications tray, or you can customize the fingerprint sensor at the back to do so. But in Android 12, you will be able to do the same by just swiping down alongside the bottom edge of the screen.

Refined picture-in-picture mode experience

The picture-in-picture (PiP) mode experience on Android has been a barebones affair so far. Thankfully, Android 12 Developer Preview 1 introduces the ability to resize a picture-in-picture window, and also adds the ability to stash it on the side of the screen without actually closing it.

Sending haptic feedback to connected controllers

Vibration feedback on a gaming controller plays a key role at enhancing the whole feel of playing a game. In Android 12, if you are playing a game on your phone or tablet, you will be able to channel the vibration feedback to your connected gamepad, which is quite cool.

Editing at your fingerprints

Imagine a scenario where you have to share a photo, but quickly have to crop the sides and add some annotations to it. Ideally, you would do it first-hand before hitting the share button, or you will rely on the in-app solution, the likes of which you see on WhatsApp. In Android 12, the native editor now appears on the share sheet to save you the hassle.

Image: XDA-Developers

If you want a more in-depth look at everything that the first Developer Preview of Android 12 brings and the features that are currently in the pipeline, check out this comprehensive and constantly updated Android 12 guide over at XDA-Developers.

Nadeem Sarwar

I’ve been writing about consumer technology for over three years now, having worked with names such as NDTV and Beebom in the past. Aside from covering the latest news, I’ve reviewed my fair share of devices ranging from smartphones and laptops to smart home devices. I also have interviewed tech execs and appeared as a host in YouTube videos talking about the latest and greatest gadgets out there.

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Lordstown Motors' electric race truck is (mostly) ready for off-roading

Lordstown Motors wants to prove its Endurance electric truck is ready for the wilderness through a familiar strategy: it’s entering a prominent race. Autoblog reports that Lordstown has unveiled a race-ready version of its Endurance Beta truck that will compete in the SCORE World Desert Championship’s San Felipe 250 on April 17th. The upgraded EV is ready for the Mexican race with larger off-road wheels (complete with wider fender flares), four high-power driving lights and the removal of ‘frills’ like mirrors, windows and much of the cabin’s luxuries.

The race will ideally prove that the Endurance is the “toughest, most robust” truck on the planet even as it cuts emissions, company chief Steve Burns claimed.

If all goes well, the Lordstown racer could provide further evidence that electric trucks are ready for extreme conditions. If they can handle the bumps and bruises of off-roading, you might be more likely to buy an Endurance for your own off-the-beaten-path excursions.

The competition might underscore the current limitations of EVs, however. The race covers a 290-mile course, but the street-going Endurance has a range of just 250 miles. Even with weight reductions, there’s a real chance the racing variant will have to recharge mid-race while its competitors pass by. Lordstown is unlikely to win, then — until it improves its vehicles’ range, this is more a proof of capability than a realistic bid for motorsport glory.

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Logic Pros Live Loops Launchpad Diary: Introducing yourself to a new workflow + more

In today’s Logic Pros Live Loops diary, we are taking a look at the process of introducing this new workflow into our day-to-day recording sessions along with some quick Novation Launchpad tips. The potential of these repurposed controllers has just been getting even more intriguing with every Logic Pro update and after discussing the the pros and cons of the current-generation lineup, we are diving into to some tips and quality of life reminders for making the transition a smooth one. 

Implementing a new Launchpad Live Loops workflow

Starting with Logic Pro 7 nearly two decades ago now, right through to last year’s massive 10.5 update, Apple’s has presented a mostly consistent music creation workflow with a focus on incremental updates, powerful new instruments, best-in-class composition companions, and all-in-all, modernizing a generally familiar experience. All of which has been a mostly successful endeavor as far as we are concerned, much like the game-changing updates it injected into the system through the last half of 2020. 

Moving over to something like the wildly new, non-linear Live Loops lifestyle can be a bit jarring to say the least. While all of the usual suspects are still at play in Logic Pro, new possibilities have entered the fray vying for our creative attention. Colorful blinking light Launchpads to dig our fingers into bring a kind of expressive physical connection to Logic Pro for what feels like the very first time. Not just in terms of app control and original composition — playing notes with your keyboard or wiggling some faders with a control surface — but also over complete vertical slices of our work. Presenting direct access to every riff, motif, harmony group, drum groove, vocal sample, and horn blast in our composition like the notes of a keyboard, this effectively allows Logic Pro to provide its users a modular approach to song creation and musical performance-based song arrangement it simply never could before — and unlike like any other DAW can. So different, and powerful, and impossible to ignore, it’s time to go over some quality of life tips and reminders, when integrating Live Loops and Launchpads into your day-to-day workflow. 

We have discussed the general potential of the Logic Pro hardware control in question, along with some brief installation tips, but it seemed like a fitting time to lay down some basics for folks just starting down their journey with us here. If you’re anything like me at all, finding time away from typical recording sessions, and your day-to-day composition/audio work routine — your EDR or every day rig, if you will — isn’t the easiest. But here are a few things that I have found particularly helpful to remember each time I get started on a new Launchpad Live Loops project, or when transforming those old timeline Regions into non-linear Cells. 

Learn from the Templates

Learn from the Live Loops Logic Pro templates. It’s easy to quickly rip through a few of these and toy around for a bit, and then proceed to completely ignore them from that point on — it is for me anyway. But there are a few basics or quality of life Live Loops tips we can glean, and hopefully remember, from them that are particularly helpful when using Launchpads: Using an empty Scene to our advantage and creating a cycle area (loop) on the timeline. 

Having an empty Scene in our Live Loops Launchpad projects can be particularly helpful as it will allow us to effectively stop playback without touching the keyboard or mouse — if that’s your kind of thing anyway. I found this to be quite useful in live performance-type situations, some arrangement sessions, and when performing arrangements to the timeline. 

Launchpad loops in view

Inside of the Logic Pro’s Control Surface Setup window we touched on a couple weeks ago ( Logic Pro menu > Control Surfaces > Setup…), we can choose a general color for our control surfaces, including the Novation Launchpads. This color is reflected in the Control Surface Bar on the left edge of the Track Headers. It also indicates which of the tracks in our Live Loops project are currently visible in the main Cells/Scenes view on the Launchpad. 

I find myself at times needing a quick reminder during a performance or arrangement session as to which tracks are currently viewable on the Launchpad. Keeping in mind, not all musicians use Apple’s perfectly cascading color collation for their songs — and unfortunately so in most cases — even with a perfectly organized project, it can and has come in handy several times for me. 

The Control Surface Bar will light up eight tracks on the Launchpad Pro models, while only seven on the Launchpad X (and some of the other smaller models) due to requiring the bottom set of the 8×8 pads to be used as Scene Trigger buttons. You can however, inside of the aforementioned Control Surface Setup window, revert back to the 90-degree left or right orientation for your Launchpad X to regain the full 8×8 Cell grid. While this is at the expense of more direct access to other hardware features the Launchpad X provides if you ask me, it is something to keep in mind if you ever require the full-size grid for certain projects/scenarios. 

Sometimes a light touch will do it

Nothing new or overly exciting here, just one that tends to slip my mind while getting busy. Not only are the velocity sensitive Launchpad controls great for actually recording instruments like a MIDI keyboard, but remember we can also use its soft touch/hard touch for smooth fader volume fades in our Live Loops sessions and performances. Hitting the Volume page on your Launchpad will bring up the fader volume mixer controls for the tracks in your session. Hitting the pads hard will immediately raise or lower the volume of the track, but a soft touch will slowly fade the volume up or down. This can always be good to remember while you’re in the heat of battle, performing arrangements or live DJing some compositions, and can make for some interesting musical results. 

Quantizing your Start position

Quantize Start and Playmode settings will be something we dive into far deeper down the line — seemingly simple user options, they can be used in particularly customizable and powerful ways to transform vertical slices of your songs into instruments of their own — having a basic understanding of what’s going on with these can save some headaches in the early days. 

The mini Quantize Start menu atop the Live Loops window is our immediate getting started focus here today, and where you choose the start time for the Cells and Scenes in your grid. Some folks and collaborators have had some questions about getting Cells and Scenes to start playback faster, or immediately when hitting its corresponding pad on the Launchpad, or on the next beat of the song, and so on. If your Cells and Scenes aren’t reacting the way you need them to for a particular song or reason, try adjusting the Quantize Start setting from this menu. You can turn the quantize option off if you’re particularly gutsy or swift of hand, or just among the many quantize or grid-synced options here — one of them will almost certainly be what you’re after in my experience. 

And some final thoughts…

It can be understanding and remembering these little things — the things we take for granted after making a particular workflow environment such an integrated and normalled part of our day-to-day musical existence for so long — that make implementing Launchpads or any other new hardware/instruments a more natural experience. Whether it’s having full understanding of our musical hardware interface at a moment’s notice, that perfectly placed piece of silence to set the big drop off, or a smooth fade to end the perfect arrangement, some simple reminders to help file the basics away into the second-nature section of your audio engineering memory can be invaluable. 

Dig into our overview of Apple’s Live Loops right here as well as this breakdown of what each of Novation’s Launchpads bring to the table. Then let us know if you have any starter or quality of life tips to help keep myself and other folks on the right track int he comments below.

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Record-Breaking New Smartphone Tech Outguns Samsung Galaxy And Apple iPhone – Forbes

Could Huawei smartphones be about to pull even further ahead of Apple’s iPhone 12 range and Samsung’s Galaxy S21 series?

A large smartphone camera sensor

A huge new smartphone camera sensor is expected from Sony

@rodent950 (Twitter) MORE FROM FORBESGoogle Issues Quality Warning For Millions Of Google Photos Users

Sony’s next-generation smartphone image sensor looks set to propel the next wave of flagship handsets further into the territory of dedicated compact cameras, but one major obstacle still remains.

According to the prolific leaker @rodent950, the new IMX800 camera sensor is expected to launch this April. It’s predicted to arrive first in Huawei’s P50 range of flagship smartphones and is also high on the wishlist for many awaiting the Google Pixel 6, with some speculating that the IMX800 may be the new sensor expected to feature in the next Pixel flagship.

The IMX800 is reportedly a “1-inch type” sensor. Although physically much smaller than one inch in size, thanks to some archaic naming conventions, this would make it the largest smartphone camera sensor ever produced, beating Samsung’s recently announced Icocell GN2 and equalling that of Panasonic’s 2014 Lumix DMC-CM1 hybrid camera device.

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This means smartphones will soon feature image sensors equivalent in size to high-end compact cameras, such as Sony’s popular RX100 range. More importantly, the larger sensors have the potential to boost camera quality significantly.

Sensor size is one of the most important factors in determining picture quality. A bigger sensor captures more light at any given moment, and this gives it a huge advantage, particularly in low-light situations or when photographing fast-moving subjects. Try both of these tasks at the same time and you’ll really appreciate what a larger sensor can do.

MORE FROM FORBESWhy You Can’t Have The iPhone Design You Want Any Time Soon

Smartphones compensate for their smaller sensors through software, pairing cutting-edge multi-shot imaging techniques with on-board processor power that often far exceeds that of a typical dedicated camera. Google mastered this with its early Pixel smartphones, although rivals such as Apple have since caught up.

It remains to be seen how the next-generation smartphone lenses will hold up when paired with huge sensors like the IMX800. Large sensors require correspondingly large lenses which aren’t suited at all to slim smartphone designs. However, if successful, they will surely eat into the niche market the RX100 and competition such as Canon’s PowerShot GX  and Panasonic’s Lumix ZS ranges have carved out for themselves.

For me, the best result would be to see compact cameras incorporating more of the image processing capabilities of modern smartphones. The combination of Google Pixel-like image processing with larger sensors and bright, sharp lenses would surely be a formidable combination. In fact, if this doesn’t happen, a whole category of cameras may soon be under threat.

More importantly, It’s also a threat to the likes of Samsung and Apple, who will have to respond to Huawei’s increasing camera capabilities. Samsung has its own large, albeit slightly smaller, sensor in the form of the Isocell GN2, should they choose to use it.  I expect a somewhat slower response from Apple, but it must surely come eventually.

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Justworks’ Series B pitch deck may be the most wonderfully simple deck I’ve ever seen

It may be tough to remember, but there was a time long ago when Justworks wasn’t a household name. Though its monthly revenue growth charts were up and to the right, it had not even broken the $100,000 mark. Even then, Bain Capital Venture’s Matt Harris felt confident in betting on the startup.

Harris says that, with any investment (particularly at the early stage of a company), the decision really comes down to the team and more importantly, the founder.

Two of the main reasons this deck “sings” is the line it draws to the Justworks culture and that the deck isn’t “artificially simple.”

“Isaac is a long-term mercenary, but short- and medium-term missionary,” said Harris. “The word that really comes to mind is ‘structured.’ If you ask him to think about something and respond, he’ll think about it and come back with an answer that has four pillars underneath it. He’ll create a framework that not only answers your specific question, but can prove to be a model that will answer future questions of the same type. He’s a systems thinker.”

In 2015, Justworks closed its $13 million Series B, led by Bain Capital Ventures. Harris took a seat on the board. Since, the duo have been working closely together as Justworks has grown into the behemoth it is today.

But these relationships work both ways. Oates said that one of the main things he looks for in an investor is how they’ll react when the chips are down.

“Different people behave different ways under stress,” said Oates. “And people show their values and integrity in those types of situations. That’s when these things are tested. The simple way I think about this is, will this person pick me up from the airport in a pinch?”

Though he’s never asked, he believes Harris absolutely would.

On Extra Crunch Live, Harris and Justworks CEO Isaac Oates sat down to talk through how they resolve disagreements, why Oates never changed what must be one of the most simple pitch decks I’ve ever seen in my life, and how founders should think about pricing their products.

They also gave live feedback on pitch decks submitted by the audience in the Pitch Deck Teardown. (If you’d like to see your deck featured on a future episode, send it to us using this form.)

We record Extra Crunch Live every Wednesday at 12 p.m. PST/3 p.m. EST/8 p.m. GMT. You can see our past episodes here and check out the March slate right here.

Episode breakdown

  • Working through disagreements — 11:30
  • The Justworks Series B Deck — 15:00
  • Pricing the product — 25:00
  • Pitch deck teardown — 33:00

Working through disagreements

Despite their glowing praise of one another at the top of the episode, the founder/investor duo haven’t always seen eye to eye. But they did provide an excellent framework around how founders and VCs should wade through disagreements around the business.

Oates gave an example from 2017. He was considering putting in a dual-class stock, which would give a kind of high-vote, low-vote structure to the company. He said that it interested him because he’d seen other companies out there who were vulnerable after going public, whether it be activist shareholders or other outside forces, and that that might prevent a CEO from thinking about the long term.

Harris disagreed and gave a long list of reasons why that neither shared on the episode. However, Oates said that one of the great things to come out of that disagreement was seeing how Harris went about this decision.

Harris introduced Oates to every expert on this particular subject that he knew, asking them to have meetings and discuss it further.

In the end, Oates ultimately stuck to his guns and decided to go forward with the dual-class stock, but armed with all the information he needed to feel confident in the decision.

“I learned a lot about how Matt thinks and how he approaches decisions,” said Oates. “The process of making decisions is just as important as the content. As I’ve gotten to know him more, it means that when we find something where we don’t necessarily agree, we’re able to step back and make sure we have an intellectually rigorous way to process it.”

The story reminded me of a similar conversation with Ironclad CEO Jason Boehmig and Accel’s Steve Loughlin. They explained how much time and energy they spent early on in their investor/founder relationship talking about the “why” behind opinions and strategies and decisions, plotting out the short-, medium- and long-term plan for the company.

“I want to know what you want the company to look like so that I can push you and we can have constructive conversations around the plan,” said Loughlin. “That way, I’m not getting a phone call about whether or not they should hire a head of customer success without any context or a true north in mind.”

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The affordable Motorola Moto G 5G smartphone does a lot right in our test – Notebookcheck.net

After the previously reviewed Moto G 5G Plus, the Motorola Moto G 5G, the smaller model counterpart of the Moto 5G series, was put through our test course. It also features a rather modern design with relatively narrow display bezels thanks to the punch-hole design. Regardless of that, the Motorola phone offers a nice overall package consisting of minimalistic software, fast WLAN, and accurate GPS navigation. The performance of the mid-range phone is also appealing due to the Qualcomm Snapdragon 750G that is used. In addition, the 5,000 mAh battery in the Moto G 5G, which can be charged at up to 20 watts via the TurboPower fast-charging technology, provides very long runtimes of 17:30 hours in our WLAN test under realistic conditions.

However, the Moto G 5G’s biggest strength is revealed when it comes to communication. In its mid-range phone, Motorola uses Bluetooth 5.1, a 3.5 mm audio jack, and dual-SIM functionality with Wi-Fi calling and VoLTE; in addition, the built-in NFC chip enables Google Pay. The dual-SIM smartphone uses the fast 5G standard for mobile Internet access and covers all LTE frequencies relevant for Germany – with 20 supported LTE bands, the Moto G 5G is even on par with a few flagship smartphones.

However, our review of the Motorola phone also revealed one major shortcoming. The display of the Moto G 5G is by no means bad, but the LTPS panel of the Moto G 5G doesn’t quite live up to what prospective buyers might expect from a 300-Euro (~$364) smartphone nowadays. The LC display is a bit low in contrast, uses PWM for brightness control, and has a native refresh rate of only 60 Hz as well as the typical LCD weaknesses (shadows, clouding, …). Display fans will definitely find better panels in this price range.

Is the display quality in a smartphone of little importance to you and are you interested in the affordable mid-range smartphone? If so, you can get a detailed impression of the Moto G 5G from our comprehensive review of the Motorola smartphone.

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HUAWEI Mate 40 Pro review: keeps getting better and better

If you’ve been following HUAWEI and its development over the past quinquennial, you know very well that the two flagships, the spring P-series, and the autumn Mate-series are two different animals.

The P40 – which earned our Road Warrior award for the Pro version, and the Best Camera of 2020 for the Pro+ variant – is aimed towards the creative, focusing on multimedia and photography. The Mate-series is the one pushing the limits of performance. It is also the device that usually introduces the latest iteration of the Kirin chipset, and other advancements.

That has certainly been the case with the Mate 40 Pro, bringing even more power to the palm of your hands. Three months after starting using it, this is our HUAWEI Mate 40 Pro review, long-term.

Huawei Mate 40 Pro review

Design

HUAWEI decided to spruce up the color palette of the Mate 40 Pro, offering it in White, Black, Olive Green, Sunflower Yellow, and the very interesting, chameleonic, Mystic Silver we have over here.

This color option shifts shades from dull silver all the way to red, through orange, yellow, green, and starting from blue. It’s got most of the colors in the spectrum if the proper light hits it at the right angle. The matte finish of the glass also helps keep fingerprints to a decent amount.

Huawei Mate 40 Pro review

The display is curved towards the edges, and so are all the extremities of the back panel. This makes the phone incredibly easy to grab, and ergonomic. The buttons are easily reachable with the power button on the lower side being painted in vibrant red. The volume rockers are placed towards the top, but you also have the option to control output via the virtual buttons on the left side of the display.

At first, I didn’t know what to think about the round, Oreo-like camera arrangement on the back, with the Leica branding in its middle, painted with the same color-shifting shade as the rest of the phone’s backside. I guess this makes it a circle, rather than a disc or an Oreo. You catch my drift. HUAWEI calls it “the Space Ring”.

Overall, we think HUAWEI nailed it with the design, materials, and overall finish of the Mate 40 Pro. That is why Pocketnow decided to honor the HUAWEI Mate 40 Pro with its Editor’s Choice Award for design.

Specs

The Mate 40 Pro, as the case with any Mate model before it, is a beast. It is powered by the 5nm octa-core last-gen Kirin 9000 processor, which contains a 24-core Mali G78 GPU, three NPUs, as well as modems capable of operating on most 5G networks and frequencies. 

Huawei Mate 40 Pro review

Couple that with 8GB of RAM and future-proofing just got an entirely new meaning. It also features 256GB of storage, and a 4,400mAh battery capable of 66W wired, and 50W fast wireless charging.

The display is a gorgeous 6.76-inch OLED panel with an FHD+ resolution of 2772 x 1344 pixels and a max refresh rate of 90Hz. Aside from the fact that it’s a gorgeous display, it is also extremely curved around the edges, to the point where content flows over almost to a 90-degree angle.

Underneath the display, you’ll find a fingerprint scanner that is fast and accurate and gives you an easy alternative to unlock your phone in case facial recognition fails, you know, due to the fact that you’re wearing a mask most of the time when you’re out.

Just in case HUAWEI needed to prove that they really mean business with the Mate 40 Pro, they packed a total of 5 cameras, 3 on the back and 2 on the front.

Huawei Mate 40 Pro review

On the back, you’ll find a trio of 50MP Ultra Vision Camera (Wide Angle, f/1.9 aperture),  20MP Cine Camera (Ultra-Wide Angle, f/1.8 aperture), and 12MP Telephoto Camera (f/3.4 aperture, OIS), as well as the LED flash.

On the front, inside the oval pill-shaped cutout, there’s a 13MP Ultra Vision Selfie Camera (Wide Angle, f/2.4), as well as the 3D Depth Sensing Camera.

Performance

I’ll be honest, I haven’t handled a smartphone snappier than the Mate 40 Pro in the past 12 months. Whether it’s the fast processor, the amount of memory, or EMUI 11 (or a combination of all the aforementioned), I really don’t know, but it’s wicked!

Throw at it whatever you want and it will instantly execute without breaking a sweat. It does that both fresh after a restart as well as running without a reboot for days.

We won’t bore you with benchmarks and other analytical information (there are other reviews out there that specifically focus on that) as we here at Pocketnow believe in real-life performance.

Huawei Mate 40 Pro review

Now, whether you’re playing a demanding game, like Asphalt 9 Legends, or you have several other applications running in the background, you won’t feel any lag, delay, or hiccups.

While we weren’t able to test out 5G due to the lack of service in this particular region, we can safely say that the same performance is translated to WiFi and 4G as well. Data speeds are right there at the upper limit of what the service provider guarantees. Phone calls and general call audio is crisp and clear, and limited only by the quality of your service provider (for instance Hi-Fi voice is only available if both parties’ phones, and their carriers, support it). That is not the case with calls placed on WhatsApp or Facebook, where the quality is crisp and clear.

This brings us to the speakers. The Mate 40 Pro has a pair of rather powerful speakers, one at the top, and one at the bottom, for stereo effect. They are not only loud, but they produce a rather surprising high-quality sound, considering where that sound is coming from (a phone). 

Huawei Mate 40 Pro review

HUAWEI has literally spoiled us with the performance of the cameras it equips its phones with. The triple-camera setup on the Mate 40 Pro is no different. It is needless to say that it’s one of the best camera phones out there, competing head to head with its other siblings in the Mate 40 line-up, as well as the P40 lineup.

Regardless of what you decide to capture for posterity, the Mate 40 Pro will not disappoint, let it be landscapes, close-ups, portraits, etc. Colors are accurate, contrast and depth are spot-on, and with the improved focal length of the ultra-wide camera, you’ll get great results. These are also due to the free form lens Huawei decided to use on the Mate 40 Pro, where an uneven shape is utilized to reduce and sometimes completely remove distortions.

HUAWEI Mate 40 Pro zoom increment samples

HUAWEI Mate 40 Pro miscellaneous camera shots

HUAWEI Mate 40 Pro selfie shots

When it comes to the telephoto lens, you have the option to zoom in optically up to 5X. Since it’s an optical zoom, and it’s heavily stabilized, the quality of the pictures is exceptional. There’s also the option to go further with digital zoom, but we’d advise you to keep it towards the lower end.

And, again, when it comes to low light, Huawei does such a great job that oftentimes night photos are as bright as if they were taken at dawn or sunrise. 

Turning to the front we can only commend Huawei for opting for a wide-angle lens for the selfie camera. It makes it easy to frame your shot, as well as gather more people inside the same frame, should you decide to not distance yourself socially.

Selfies snapped can often benefit from the effects you choose to apply, but you’ll be satisfied with the results even if you opt not to utilize one.

Experience

This elephant in this same room has been addressed so many times before that I feel I’m writing the same paragraphs every time I review a modern HUAWEI smartphone.

Yes, it’s Google! I won’t beat the same dead horse once again. The status quo has become the “norm”, so I think it’s time the world shifts from a complaining/wishful thinking/criticizing mindset to just accepting the product for what it is.

EMUI 11 is based on AOSP Android 11, and, instead of Google Play, you get your apps officially from the HUAWEI AppGallery, or unofficially (at your own risk) from one of the various services out there.

We touched on this topic in detail in at least two of our recent reviews with the occasion of the HUAWEI P40 Pro and Mate 30 Pro. Read any of those (heck, read both!) for more details on the topic.

So instead, we’ll be looking at the present and the future. HUAWEI is not only committed to, but has already proven that it can build a solid alternative ecosystem. The AppGallery is expanding every day and yes, while it’s still far behind the Play Store, chances are more and more apps are available every day, slowly filling in the gap.

Solid Google Maps alternatives are represented by TomTom and Here Maps, local banking apps are being added (localized to each country), Bolt is available as an Uber alternative, so yes, there’s an app gap, but it’s closing slowly to the point where the absence of Google and its services is really manageable.

Huawei Mate 40 Pro review

HUAWEI did a nifty little thing with Quick Apps. You go to a website, like YouTube for instance, and it loads the mobile version of the page (which is pretty much as close as you can get to the mobile app functionality-wise). With Quick Apps, you can send that page directly to your home screen, retaining the icon and everything, so for an untrained eye it would seem like it’s the regular app you have installed.

You can do that with Google Maps, Gmail, and pretty much every other service that has a mobile-optimized web offering. Trust me, even if one or two features are missing (which is on the company that’s offering the service, not HUAWEI), it’s as close as it gets.

HUAWEI Mate 40 Pro review: conclusion

Sure, I’ve been commending and recommending modern HUAWEI smartphones for years now. Their solid build quality, great design, snappy performance, stellar cameras, and the all around experience makes it easy to recommend them hardware-wise.

But it’s the software and services that really made me hold back just a little in recommending a purchase, especially for those who are not advanced users to the point where you can make this work by spending a little extra time and tinkering with the software.

Huawei Mate 40 Pro review

This has now changed thanks to HUAWEI’s efforts. Sure, the product is continuously improving hardware-wise from the predecessor to successor, and that’s easy to recommend, but it’s the company’s software and ecosystem efforts that allow me to finally recommend HUAWEI’s flagship without major reservations, and I think that’s the most important conclusion to our HUAWEI Mate 40 Pro review.

And the thing is, with top-notch hardware components inside the Mate 40 Pro, it’s future proof enough to where it will still be a top performer down the line when the HMS ecosystem will continue developing into what HUAWEI’s vision is down the road.

You can purchase the Mate 40 Pro outside of the US from HUAWEI’s store (where available) or partner retailers. In the US, it currently goes for $1,348 on Amazon.

HUAWEI Mate 40 Pro review: Pros and Cons

Pros:
+ excellent build and design;
+ exceptional cameras;
+ great battery life;
+ powerful speakers.

Cons:
– a tad on the expensive side;
– some apps might not be available yet.

Anton D. Nagy

Anton is the Editor-in-Chief of Pocketnow. As publication leader, he aims to bring Pocketnow even closer to you. His vision is mainly focused on, and oriented towards, the audience. Anton’s ambition, adopted by the entire team, is to transform Pocketnow into a reference media outlet. Contact: [email protected]

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Can Java be used for machine learning and data science? – Analytics Insight

February 28, 2021

machine learning

machine learning

The world is drooling over Artificial Intelligence. From research institutions to corporate houses, every organization aims to create AI-driven systems to build their enterprise. Machine Learning, or more commonly known as ML, is a sub-array of AI. With ML, you can teach the machines to behave like humans, i.e. develop brains in a machine. The result is automated machines that know-how and what is to be done. One commonly used place for AI & ML is Maps. Have you noticed that it shows you the route with the least traffic and the best route? That happens through ML along with other technologies.

Another hot thing in the technological sphere is Big Data and its management. Big data is a terminology utilized for data of all types. It incorporates structured, semi-structured, and unstructured data. Be it any type of organization, you will always have a lot of data related to operations, finance, marketing, manufacturing, sales, etc.

How you utilize and manage this data is the work of data scientists. Machines absorb the information that is further utilized and adopted in AI is all related to Big Data. Hence, to dive into AI, you will have to be accustomed to ML and Big data. Data science, ML, big data, and AI are all interlinked and synchronized.

If you are talking about turning a machine like a human, it requires you to feed it in the language that it understands. Yes, we are talking, i.e. programming languages. Some of the commonly practiced languages for ML and Decision science are Python, Java, etc. But Java is a language that one must never forget. If you know Java Outsourcing Company, you can hop on the bandwagon of ML with great ease. How will it happen? Read along to learn more.

Top Expertise to Develop For Machine Learning & Data Science

If you want to excel in any field, you first need to develop the skills. Here’s a list of all the skills required if you’re going to learn ML & data science.

Math: It is all about permutations and combination complemented with your calculation ability to be able to link yourself with machines.

Data Architecture: To be able to reach the core of any technology, you must have a broad idea of the data formats.

Software Structures: There is no ML without software, and a data engineer should be clear with concepts related to software and their working.

Programming & Languages: If you do not know anything about this, there is no ML for you. Programming languages are the essential requirement for one to be able to build a career in ML.

Differencing and Data Mining: If you have no clue about data, you are a zero. To be able to learn ML, data mining, and the ability to infer the information is crucial.

Java: Machine Learning & Data Science’s Future

Java is a technology that proves beneficial in varied arrays of development and ML. One of the critical things in ML & Data Science is algorithms. With Java’s available resources, one can efficiently work in various algorithms and even develop them.

It is a scalable language with many frameworks and libraries. In the current scenario, Java is amongst the most prominent languages in AI and ML. Some of the reasons why Java is an excellent alternative for a future in Data Science, Machine Learning, and finally, Artificial Intelligence are:

Pace of Execution

If you are arguing about the speed of coding and execution, Java takes the lead in it, which means faster ML & DS technologies. Its features of statically typing and compilation are what makes it super in execution. With a lesser run time than any other language, knowing Java means you are good to go in the ML industry.

Coding

Indentation in Java is not a must which makes it easier than Python or R. Also, coding in Java may require more lines, but it is easier than in other languages. If you are well-versed with coding, Java will be beneficial in ML and DS.

Learning Curve

Java has a lot of areas where one must work hard. The learning curve for Java and allied language is quicker and more comfortable than other languages in totality. Suppose you know a language better and efficiently. In that case, it means that you can enter the domain at a more accelerated pace than through any other language whose learning curve is typical of Java.

Salary Packages

Java has been in use for 30+ years. The future salaries of people who know Java are perceived to be higher than through any other language. We are not saying that you might not have a handsome amount in your hand if one knows Python. Instead, we are just focusing that with Java’s legacy in place, the salaries you get in your growth years are expected to be more for people who know Java.

Community

Java will complete three decades of existence and is still one of the most prevalent and popularized languages. It means that numerous people in the enterprise know the language and will provide you with support in requirements. Several people in DS and ML are working through Java. It is an additional benefit that you can avail of if you learn ML and DS with Java.

Varied Libraries

With Java, you have access to various libraries in Java for learning ML. To name a few, there are ADAMS, Mahaut, JavaML, WEKA, Deeplearning4j, etc.

We hope that now you know why one must learn Machine Learning and Data Science in Java. With its scalability, versatility, and balanced demand, you will always have to work with Java.

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