Hasta La Gadget!

One of the benefits of Instagram Stories is that it is temporary. This means that content that might not necessarily fit into your profile can be shared there. For example if you’re a photographer that uses Instagram as their portfolio, uploading a selfie or a photo of your lunch probably doesn’t fit the overall aesthetics that you might be going for.

Now if you’re looking to share something on your Instagram Stories related to music, you’ll be pleased to learn that Shazam for iOS now supports uploading to Stories. According to the latest update to the app, “Now you can share your Shazams to Instagram Stories. Once you’ve found a song in Shazam, hit the share button and choose Instagram Stories.”

Note that this seems to only apply to Shazam for iOS now which we guess doesn’t come as Apple now owns the app. This is also the second major update that Apple has made to the app since they acquired the company, with the previous update essentially removing all ads for all Shazam users. So if you’re a Shazam user who also uses Instagram Stories, now might be a good time to update the app if you’d like to get the feature. The update can be found for free via the iTunes App Store.

Shazam For iOS Lets You Share To Instagram Stories , original content from Ubergizmo. Read our Copyrights and terms of use.

If there is a God and he is indeed omniscient, it is also true that he foresaw the human race’s ability to create a great many things that would change the world, improve the overall quality of life here on Earth, and maybe even one day move beyond it. I can’t help but wonder what the hell he would make of this $2,400…

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With 4K TVs becoming more common as the prices drop, it’s only a matter of time before 8K TVs are no longer niche products. Multiple companies are working to bring 8K TVs to the market and LG is one of them. The Korean giant has said that it will begin commercial production of its 8K TVs in 2019.

LG says that its 8K UHD OLED TVs will be out in the first half of next year. The company is likely targeting a June launch for the products. It will also have to deal with a problem that manufacturers like Samsung have had to with their 8K TVs.

There’s not a lot of content out there that’s native 8K resolution. It will take a few years since that becomes common. However, upscaling can resolve this issue to an extent. Samsung relies on it and LG is going to have upscaling technology in its 8K TVs as well.

What the company hasn’t revealed at this point in time is how much its 8K TVs are going to cost. Given that the technology is extremely expensive at this point in time, it’s safe to say that its 8K OLED TVs will be priced well into the thousands of dollars.

LG’s 8K TVs Will Arrive Next Year , original content from Ubergizmo. Read our Copyrights and terms of use.

Robots just want to get things done, but it’s frustrating when their rigid bodies simply don’t allow them to do so. Solution: bodies that can be reconfigured on the fly! Sure, it’s probably bad news for humanity in the long run, but in the meantime it makes for fascinating research.

A team of graduate students from Cornell University and the University of Pennsylvania made this idea their focus and produced both the modular, self-reconfiguring robot itself and the logic that drives it.

Think about how you navigate the world: If you need to walk somewhere, you sort of initiate your “walk” function. But if you need to crawl through a smaller space, you need to switch functions and shapes. Similarly, if you need to pick something up off a table, you can just use your “grab” function, but if you need to reach around or over an obstacle you need to modify the shape of your arm and how it moves. Naturally you have a nearly limitless “library” of these functions that you switch between at will.

That’s really not the case for robots, which are much more rigidly designed both in hardware and software. This research, however, aims to create a similar — if considerably smaller — library of actions and configurations that a robot can use on the fly to achieve its goals.

In their paper published today in Science Robotics, the team documents the groundwork they undertook, and although it’s still extremely limited, it hints at how this type of versatility will be achieved in the future.

The robot itself, called SMORES-EP, might be better described as a collection of robots: small cubes (it’s a popular form factor) equipped with wheels and magnets that can connect to each other and cooperate when one or all of them won’t do the job. The brains of the operation lie in a central unit equipped with a camera and depth sensor it uses to survey the surroundings and decide what to do.

If it sounds a little familiar, that’s because the same team demonstrated a different aspect of this system earlier this year, namely the ability to identify spaces it can’t navigate and deploy items to remedy that. The current paper is focused on the underlying system that the robot uses to perceive its surroundings and interact with it.

Let’s put this in more concrete terms. Say a robot like this one is given the goal of collecting the shoes from around your apartment and putting them back in your closet. It gets around your apartment fine but ultimately identifies a target shoe that’s underneath your bed. It knows that it’s too big to fit under there because it can perceive dimensions and understands its own shape and size. But it also knows that it has functions for accessing enclosed areas, and it can tell that by arranging its parts in such and such a way it should be able to reach the shoe and bring it back out.

The flexibility of this approach and the ability to make these decisions autonomously are where the paper identifies advances. This isn’t a narrow “shoe-under-bed-getter” function, it’s a general tool for accessing areas the robot itself can’t fit into, whether that means pushing a recessed button, lifting a cup sitting on its side, or reaching between condiments to grab one in the back.

A visualization of how the robot perceives its environment.

As with just about everything in robotics, this is harder than it sounds, and it doesn’t even sound easy. The “brain” needs to be able to recognize objects, accurately measure distances, and fundamentally understand physical relationships between objects. In the shoe grabbing situation above, what’s stopping a robot from trying to lift the bed and leave it in place floating above the ground while it drives underneath? Artificial intelligences have no inherent understanding of any basic concept and so many must be hard-coded or algorithms created that reliably make the right choice.

Don’t worry, the robots aren’t quite at the “collect shoes” or “collect remaining humans” stage yet. The tests to which the team subjected their little robot were more like “get around these cardboard boxes and move any pink-labeled objects to the designated drop-off area.” Even this type of carefully delineated task is remarkably difficult, but the bot did just fine — though rather slowly, as lab-based bots tend to be.

The authors of the paper have since finished their grad work and moved on to new (though surely related) things. Tarik Tosun, one of the authors with whom I talked for this article, explained that he’s now working on advancing the theoretical side of things as opposed to, say, building cube-modules with better torque. To that end he helped author VSPARC, a simulator environment for modular robots. Although it is tangential to the topic immediately at hand, the importance of this aspect of robotics research can’t be overestimated.

You can find a pre-published version of the paper here in case you don’t have access to Science Robotics.

If you’ve been playing Overwatch for some time now, you’re likely aware of Lucio’s in-game references to his own cereal: the support character has a spray for a box of “Lucio-Oh’s” cereal, and after players fell in love with the joke a voice line was also added. At this weekend’s BlizzCon 2018, Blizzard made an announcement just for all the … Continue reading