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Archivo del Autor: Belen De Leon

Hallados cientos de robots mal asegurados y vulnerables a los hackers

Una investigación ha sido capaz de acceder al sistema e incluso controlar los movimientos de más de un centenar de máquinas conectadas al sistema operativo ROS. Esto podría tener consecuencias fatales si un hacker malintencionado accede a alguno de ellos 
Source: MIT

This 3D-printed AI construct analyzes by bending light

Machine learning is everywhere these days, but it’s usually more or less invisible: it sits in the background, optimizing audio or picking out faces in images. But this new system is not only visible, but physical: it performs AI-type analysis not by crunching numbers, but by bending light. It’s weird and unique, but counter-intuitively, it’s an excellent demonstration of how deceptively simple these “artificial intelligence” systems are.

Machine learning systems, which we frequently refer to as a form of artificial intelligence, at their heart are just a series of calculations made on a set of data, each building on the last or feeding back into a loop. The calculations themselves aren’t particularly complex — though they aren’t the kind of math you’d want to do with a pen and paper. Ultimately all that simple math produces a probability that the data going in is a match for various patterns it has “learned” to recognize.

The thing is, though, that once these “layers” have been “trained” and the math finalized, in many ways it’s performing the same calculations over and over again. Usually that just means it can be optimized and won’t take up that much space or CPU power. But researchers from UCLA show that it can literally be solidified, the layers themselves actual 3D-printed layers of transparent material, imprinted with complex diffraction patterns that do to light going through them what the math would have done to numbers.

If that’s a bit much to wrap your head around, think of a mechanical calculator. Nowadays it’s all done digitally in computer logic, but back in the day calculators used actual mechanical pieces moving around — something adding up to 10 would literally cause some piece to move to a new position. In a way this “diffractive deep neural network” is a lot like that: it uses and manipulates physical representations of numbers rather than electronic ones.

As the researchers put it:

Each point on a given layer either transmits or reflects an incoming wave, which represents an artificial neuron that is connected to other neurons of the following layers through optical diffraction. By altering the phase and amplitude, each “neuron” is tunable.

“Our all-optical deep learning framework can perform, at the speed of light, various complex functions that computer-based neural networks can implement,” write the researchers in the paper describing their system, published today in Science.

To demonstrate it they trained a deep learning model to recognize handwritten numerals. Once it was final, they took the layers of matrix math and converted it into a series of optical transformations. For example, a layer might add values together by refocusing the light from both onto a single area of the next layer — the real calculations are much more complex, but hopefully you get the idea.

By arranging millions of these tiny transformations on the printed plates, the light that enters one end comes out the other structured in such a way that the system can tell whether it’s a 1, 2, 3 and so on with better than 90 percent accuracy.

What use is that, you ask? Well, none in its current form. But neural networks are extremely flexible tools, and it would be perfectly possible to have a system recognize letters instead of numbers, making an optical character recognition system work totally in hardware with almost no power or calculation required. And why not basic face or figure recognition, no CPU necessary? How useful would that be to have in your camera?

The real limitations here are manufacturing ones: it’s difficult to create the diffractive plates with the level of precision required to perform some of the more demanding processing. After all, if you need to calculate something to the seventh decimal place, but the printed version is only accurate to the third, you’re going to run into trouble.

This is only a proof of concept — there’s no dire need for giant number-recognition machines — but it’s a fascinating one. The idea could prove to be influential in camera and machine learning technology — structuring light and data in the physical world rather than the digital one. It may feel like it’s going backwards, but perhaps the pendulum is simply swinging back the other direction.


Source: TechCrunch

Amazon's Facial Recognition System Mistakes Members of Congress for Mugshots

Amazon has marketed its Rekognition facial recognition system to law enforcement. But in a new ACLU study, the technology confused 28 members of Congress with publicly available arrest photos.
Source: Wired

Updated Apple patent suggests MacBook Pro will eventually sport touchscreens

The MacBook Pro may eventually include a touchscreen. The hint stems from a patent describing wireless charging between two or more devices. Illustrations show a phone and smartwatch receiving a charge on a laptop’s touchpad area.

The post Updated Apple patent suggests MacBook Pro will eventually sport touchscreens appeared first on Digital Trends.


Source: Digital trends

Massachusetts proposes net neutrality law to call out bad ISPs – CNET

State lawmakers plan to name and shame broadband providers that don’t follow net neutrality principles in an effort to encourage an open internet.
Source: CNET

Amazon facial recognition thinks 28 Congressmen look like known criminals — at default settings – CNET

The ACLU says it’s evidence that Congress should step in. Amazon says the ACLU didn’t test properly.
Source: CNET

Lunar eclipse: How to watch the blood moon and Mars this Friday – CNET

The Virtual Telescope Project has your ticket to a stunning celestial event.
Source: CNET

Trump's "Shadow Banning" Tweet Isn't Twitter’s Biggest Problem

Accusations of partisan bias come at an inconvenient moment for Twitter, which is trying to clean up its platform and avoid the mistakes of other tech companies.
Source: Wired

Google revamps local events search to include personalized suggestions

Last May, Google launched a new events feature designed to help web searchers more easily find things to do nearby, while also challenging Facebook’s dominance in the local events space. Today, Google is updating event search with personalized event suggestions, and well as a new design that puts more event information directly in the search results.

When the feature first launched last year, Google said it was built in response to the millions of search queries the company saw daily for finding local events and activities.

However, it was also clearly an area where Google had ceded ground to Facebook. The social network said last fall that 100 million people were using Facebook Events on a daily basis, and 650 million were using it across the network. Those numbers have surely grown since.

The original design for Google’s events search offered web searchers a list of events they could filter by category and date. Meanwhile, the event listings themselves were powered by data from Eventbrite, Ticketmaster, SeatGeek, Meetup, Vividseats, Jambase, LiveNation, Burbio, Allevents.in, Bookmyshow.com, StubHub, Bandsintown, Yext and Eventful.

Now, Google is returning these event results in a new format – instead of more standard search results, they appear as cards, each with a little bookmark icon you can click on to save the event details for future reference.

In addition, when you tap on one of the event listings’ cards, you’re directed to a more information-rich page, offering the date, time, location, and shortcuts to save the event, buy tickets, get directions, or share it with others. The design looks even more like a Facebook event page, albeit without a discussion section for posts and comments.

Clicking on the “Get Tickets” button will pop up a window that links to ticket resellers for the event in question – like Ticketmaster or StubHub, for example.

As users continue to click, browse and save events, the system will also be trained to know what sort of events users like.

This data will be used to power the new personalized recommendations feature, found in the bottom navigation bar’s “For You” tab, which organizes suggested events by category, like “concerts,” “festivals,” “shows,” free events, and more. This page will also show you trending and popular events in the area, if you need ideas.

The feature is not currently live for everyone, but is rolling out to mobile users over the next few days, says Google.


Source: TechCrunch

Virgin Galactic’s third supersonic test flight hits Mach 2 and 170,000 feet

Virgin Galactic is celebrating the third successful supersonic test flight of VSS Unity, the passenger spacecraft it intends to make available for space tourism in the near future. This flight took the craft higher and faster than ever, stressing the system and providing useful data for the rocket plane’s engineers.

Virgin’s two-part flight system uses a traditional jet-powered plane, the WhiteKnightTwo-class VMS Eve, to carry the spacecraft up to about 45,000 feet, after which the latter detaches and zooms ahead (and upward) on rocket power.

Each of Unity’s flights has pushed its specs a bit further: The first one, in April, achieved Mach 1.6 and just over 84,000 feet of altitude. The second, in May, hit Mach 1.9 and reached 114,500 feet.

Today’s went to Mach 2 and got up to 170,000 feet, touching the Earth’s mesosphere before gliding down to a soft landing. It’s still not nearly to space; the Karman Line, where space “officially” begins, is about twice as high. But at this rate it sure just seems like a matter of time before they get up there.

Importantly, the rocket powering Unity’s flight burned this time for 42 seconds, well over the 30 seconds or so it’s been fired for until now. These tests necessarily have to advance degree by degree, but going from 30 to 42 is a big jump that the engineers are probably thrilled about.

“Having been a U2 pilot and done a lot of high altitude work, or what I thought was high altitude work, the view from 170,000 feet was just totally amazing,” said one of the pilots, Mike “Sooch” Masucci, in a Virgin Galactic press release. “The flight was exciting and frankly beautiful. We were able to complete a large number of test points which will give us good insight as we progress to our goal of commercial service.”

The team is working on analyzing the data from this flight, and of course inspecting and tweaking the spacecraft, and we can probably expect another test flight in the next few months.


Source: TechCrunch

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