Connect with us

Tech

OnwardMobility Declares Itself Not Dead… – CrackBerry.com

Published

 on


Onward Mobility, the company that promised to deliver a 5G BlackBerry Smartphone in 2021 then fell off the face of the planet, today posted to their website an update and declared themselves NOT DEAD:

To all of you who have patiently waited so long for updates from OnwardMobility, we are humbly aware that we owe you some form of communication as we enter 2022. And to misquote Mark Twain, as so many do, “Contrary to popular belief, we are not dead.”

We’ve read all your Facebook and LinkedIn comments, articles, Tweets, email messages and more, and not only do we understand your frustration, but we genuinely share it. Everyone has eagerly awaited additional information following our last announcement, but 2021 was truly a challenging year to launch a new phone, much less one with the high expectations we set and the fact that we want to get it right!

While we encountered various delays that prevented us from shipping in 2021, we will be providing more regular updates starting this month that will clarify and answer many of your questions about the ultra-secure 5G enterprise smartphone (still with a keyboard!) we’re bringing to market.

All of us at OnwardMobility are incredibly grateful for the community of loyal users for this opportunity. To the media: we’ll be ready to deliver news and speak with you soon and we look forward to it.

We sincerely apologize for our silence and truly appreciate your patience. In the meantime, we wish everyone a healthy start to the New Year!

All the best,
The OnwardMobility Team*

A few quick thoughts came to my mind after reading this update from OM (which I’ll write directly to them since they said they’re reading all the articles):

  1. OHH MY EFFEN GOD.. why the hell did you wait until TODAY to post this news? On a week when media around the world is reporting that it’s the End of an Era as BlackBerry OS and BlackBerry 10 phones go End of Life, having this message up a week sooner would have really helped work in your favor as maybe, just maybe, the mainstream media would have positioned the story right. As it is, the news this week mainly came across that ALL BlackBerry Phones are dead (newer Android phones included). It’s going to seem extra weird (and maybe even a little desperate) to launch this as a BlackBerry device now.

  2. Which makes me wonder if this ultra-secure 5G enterprise smartphone will even carry the BlackBerry name if/when it comes to market? I can’t help but notice that the update post didn’t actually mention the word BlackBerry in it. So maybe that’s a clue that either a) it won’t come to market as a BlackBerry anymore, or b) you’re not allowed (by BlackBerry) to mention it.

  3. Either way, you guys should have made SOME SORT of an update before 2021 closed out. No update of any kind basically made the CrackBerry community — myself included — write you off. Back in August 2020 when we talked to Peter Franklin on the CrackBerry Podcast we left excited and optimistic that a new BB was truly in the works. That waned over 2021. Sure, there was a post encouraging people to sign up for updates. But then no updates ever came. And then we couldn’t help but notice a lot of the folks on LinkedIn who had OnwardMobility job titles… went elsewhere. Add it all up and by every account it felt like OnwardMobility decided to ghost everyone.

So with that all said, to the BlackBerry community I say PLACE YOUR BETS in the comments as to whether or not 2022 will bring a new smartphone to market.

Reactions aside, yesterday John Chen via an interview at CES, did respond in a FOX Business interview that while BlackBerry doesn’t intend to launch any new phones anytime soon than they did have a partner working on a 5G BlackBerry. So that, maybe more than anything OnwardMobility has said in their update, could point to the odds being more favorable than ZERO that we will see a BlackBerry in 2022.

As for me, you can probably tell at this point I’m over it so will remain moderately skeptical / slightly optimistic at best that we’ll see this phone in 2022. If and when we do I’ll definitely give it a go (understanding it is being positioned for an enterprise market) and hopefully it’ll have some of that BlackBerry DNA in it that makes it something to get excited about.

Rant out of the way, hopefully OnwardMobillity will still include CrackBerry in its media outreach when they have something to say. We may be going BEYOND BLACKBERRY this year as CrackBerry upgrades this year to 2.0, but if there’s a new BlackBerry phone we’re obviously going to cover the hell out of it.

Adblock test (Why?)



Source link

Continue Reading

Tech

Photos of Samsung Galaxy A53 5G's components confirm four rear cameras, one selfie – GSMArena.com news – GSMArena.com

Published

 on


The Samsung Galaxy A53 5G will reuse the bump design of the A52 trio for the quad camera on its back. This was seen in speculative renders from last year, but now we have real-world confirmation as well from spy photos of A53 5G’s frame and rear panel that were shared by 91Mobilies.

The panel appears black, though this could be prior to painting. Either way, black is one of the rumored color options for this model, alongside white, light blue and orange. This same color palette will be used for other Ax3 phones as well, including the Galaxy A13 and A33 5G.


Samsung Galaxy A53 5G rear panel and mid-frame
Samsung Galaxy A53 5G rear panel and mid-frame
Samsung Galaxy A53 5G rear panel and mid-frame

Samsung Galaxy A53 5G rear panel and mid-frame

As for the cameras, it will indeed have four modules, despite TENAA listing only three. The main camera is expected to have the same 64 MP resolution as the A52 models, but the ultra wide may be getting an upgrade to 32 MP (up from 12 MP).

We wouldn’t put too much stock in the TENAA specs, though, they also listed two selfie cameras, and we haven’t seen any evidence of that, not even in TENAA’s own photos of the phone. And if you look at the photo of the phone’s mid-frame, there is only one centered punch hole for a selfie camera.

Samsung Galaxy A53 5G (speculative renders)
Samsung Galaxy A53 5G (speculative renders)
Samsung Galaxy A53 5G (speculative renders)

Samsung Galaxy A53 5G speculative renders (image credit)

The Samsung Galaxy A53 5G will use two different chipsets, one of which is expected to be the Exynos 1200. Note that there isn’t going to be an A53 4G, the two different chips will both power 5G units. Other than that, they should share the same hardware.

The A53 is expected to be announced in the first quarter of this year, likely alongside other Ax3 models.

Source

Adblock test (Why?)



Source link

Continue Reading

Tech

Xbox boss wants to revive old Activision Blizzard games – Rock Paper Shotgun

Published

 on


Of the many possibilities that Microsoft buying Activision Blizzard might enable, only one seems really clear: that Microsoft will put Actiblizz games on Game Pass. Beyond that, it’s all mights and maybes. Here’s another maybe: Microsoft Gaming CEO Phil Spencer says they’re hoping to dig into Actiblizz’s “franchises that I love from my childhood,” raising the likes of Hexen and King’s Quest. What better use for $69 billion than wallowing in nostalgia?

(more…)

Continue Reading

Tech

Meta researchers build an AI that learns equally well from visual, written or spoken materials – TechCrunch

Published

 on


Advances in the AI realm are constantly coming out, but they tend to be limited to a single domain: For instance, a cool new method for producing synthetic speech isn’t also a way to recognize expressions on human faces. Meta (AKA Facebook) researchers are working on something a little more versatile: an AI that can learn capably on its own whether it does so in spoken, written or visual materials.

The traditional way of training an AI model to correctly interpret something is to give it lots and lots (like millions) of labeled examples. A picture of a cat with the cat part labeled, a conversation with the speakers and words transcribed, etc. But that approach is no longer in vogue as researchers found that it was no longer feasible to manually create databases of the sizes needed to train next-gen AIs. Who wants to label 50 million cat pictures? Okay, a few people probably — but who wants to label 50 million pictures of common fruits and vegetables?

Currently some of the most promising AI systems are what are called self-supervised: models that can work from large quantities of unlabeled data, like books or video of people interacting, and build their own structured understanding of what the rules are of the system. For instance, by reading a thousand books it will learn the relative positions of words and ideas about grammatical structure without anyone telling it what objects or articles or commas are — it got it by drawing inferences from lots of examples.

This feels intuitively more like how people learn, which is part of why researchers like it. But the models still tend to be single-modal, and all the work you do to set up a semi-supervised learning system for speech recognition won’t apply at all to image analysis — they’re simply too different. That’s where Facebook/Meta’s latest research, the catchily named data2vec, comes in.

The idea for data2vec was to build an AI framework that would learn in a more abstract way, meaning that starting from scratch, you could give it books to read or images to scan or speech to sound out, and after a bit of training it would learn any of those things. It’s a bit like starting with a single seed, but depending on what plant food you give it, it grows into an daffodil, pansy or tulip.

Testing data2vec after letting it train on various data corpi showed that it was competitive with and even outperformed similarly sized dedicated models for that modality. (That is to say, if the models are all limited to being 100 megabytes, data2vec did better — specialized models would probably still outperform it as they grow.)

“The core idea of this approach is to learn more generally: AI should be able to learn to do many different tasks, including those that are entirely unfamiliar,” wrote the team in a blog post. “We also hope data2vec will bring us closer to a world where computers need very little labeled data in order to accomplish tasks.”

“People experience the world through a combination of sight, sound and words, and systems like this could one day understand the world the way we do,” commented CEO Mark Zuckerberg on the research.

This is still early stage research, so don’t expect the fabled “general AI” to emerge all of a sudden — but having an AI that has a generalized learning structure that works with a variety of domains and data types seems like a better, more elegant solution than the fragmented set of micro-intelligences we get by with today.

The code for data2vec is open source; it and some pretrained models are available here.

Adblock test (Why?)



Source link

Continue Reading

Trending