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Archivo del Autor: Belen De Leon

Tommy Hilfiger has launched a ridiculous line of smart clothing that rewards you for wearing it

Here comes more smart clothing nobody asked for. Fashion brand Tommy Hilfiger today announced the launch of a new line of men’s and women’s clothing, Tommy Jeans Xplore, which comes with smart-chip embedded technology. Unlike, say, Google’s Project Jacquard and its partnership with Levi’s, the goal is not to offer access to calls, texts, maps and music controls when you can’t get to your phone – like when you’re riding your bike, for example. Instead, Hilfiger’s smart clothing aims to reward you with points for wearing Hilfiger clothing. Yes, really.

It’s come to this, folks.

The line includes t-shirts, sweatshirts, hoodies, jeans, jackets, caps, and bags which pair with the Tommy Jeans Xplore (or “XPLORE” if you use their branding) iOS app over Bluetooth. Once paired, the idea is that users will compete in challenges in the app to earn points. You get points for things like how often you wear the clothes (!!!) and for walking around to find heart-shaped, Tommy-branded icons on the app’s map. (???)

The points can be translated into rewards, including gift cards, signed merchandise and pieces from the Tommy Hilfiger archives, among other things, the company says.

I guess doling out more Tommy Hilfiger merch to players makes sense because the only people who would spend $90 on smart sweatshirt just to play a marketing campaign’s idea of fun have got to be the most seriously devoted – nay, obsessed – Hilfiger fans.

But beyond that, Tommy’s smart clothes don’t make much sense for anyone.

Despite its use of smart technology – like the embedded Awear Solutions’ Bluetooth low energy smart tag – the company hasn’t actually innovated here. At best, it’s a loyalty program requiring customers to overspend in order to join.

Even the company seems to be aware of the line’s niche appeal, saying in its official announcement that its goal is to create a “micro-community of brand ambassadors.”

Yep, micro – as in really, really, really small.

The brand, however, is no stranger to experiments with new ideas and technology. But some of its prior developments have been less absurd – like testing the use of A.I. to forecast design trends, its smartwatches, or adaptive clothing for the disabled.

Smart clothing for the sake of smart clothing though?

Just no.

No.

No.

Stop.

No.

 

 

 

 


Source: TechCrunch

Android P’s final beta preview is live

Good news for people who like near-final previews of mobile operating systems. Android just dropped Beta 4 for Android P, marking the last preview milestone before the full version launches. That means the still unnamed OS is just around the corner — promised to arrive at some point later this summer.

As all of the above implies, this build should be pretty close to final, including all of the systems you’ll see in the shipping version. The release is primarily focused on developers, looking to make sure their apps are up to date with Android P when it ships.

That includes a number of the new OS features, which will impact usage across apps, including multi-camera support, display cutout, enhanced notifications and ImageDecoder. More details on all of that can be found here.

Of course, the build is open to anyone who signs up for the Android Beta Program, so long as you also have access to a Pixel device to test it on — there’s a sign up form here. Those who have been testing out earlier builds should be receiving Beta 4 as an automatic update at some point in the near future.

No specific date has been given for the final build — just that it’s “coming soon.” Ditto for the name — though there’s no shortage of dessert foods starting with “P.” These days, I’m leaning toward Pop Rocks. But then, I’m kind of always leaning toward Pop Rocks. Hey, anyone know where a guy can get some Pop Rocks in 2018?

Anyway, more info here


Source: TechCrunch

The demand for hacking tools and malware is greater than the current supply

A report from Positive Technologies reveals an extremely high demand for malware creation on the dark web: Three times greater than the current supply. It’s based on 25 Russian and English-based dark web sites.

The post The demand for hacking tools and malware is greater than the current supply appeared first on Digital Trends.


Source: Digital trends

Mayfield Robotics ceases production of Kuri robot amid a questionable future

In a letter to backers today, Bay Area-based Mayfield Robotics said it was “crushed” to announce that it has ceased manufacturing of its home robot, Kuri. The note finds the Bosch-backed business grappling with an uncertain future, as it pauses all operations and re-evaluates its future.

Launched in 2015, as part of Bosch’s Startup Platform, the company debuted its home robot at CES the following year. It took close to two-years, but the company finally began shipping the adorable little robot to backers in late-2017. Kuri also appeared on stage at our robotics event, back in May.

According to the letter, however, Bosch struggled to find good fit for the company in its broader portfolio.

“From the beginning, we have been constantly looking for the best paths to achieve scale and continue to advance our innovative technology,” the company writes. “Typically, startups in the Bosch Startup Platform are integrated into existing Bosch business units, but after extensive review, there was not a business fit within Bosch to support and scale our business.”

Home robotics have, of course, had a famously difficult time finding mainstream success, through a combination of prohibitive pricing (Kuri carried a $700 price tag) and limited functionality. Only the hyper-focused Roomba has managed to effectively buck that trend.

Existing within the larger confines of Bosch likely sheltered the company from some of those harsher realities, but ultimately, corporations have little time for products that don’t play into their larger strategies. Without a support structure, the future remains one giant question mark for the company.

“Creating a robot like Kuri is a massive undertaking,” Mayfield writes. “We don’t know what the coming months will bring. Regardless, we stand firm in our belief that the home robot Renaissance is just beginning, and it’s going to be amazing.”


Source: TechCrunch

Google is baking machine learning into its BigQuery data warehouse

There are still a lot of obstacles to building machine learning models and one of those is that in order to build those models, developers often have to move a lot of data back and forth between their data warehouses and wherever they are building their models. Google is now making this part of the process a bit easier for the developers and data scientists in its ecosystem with BigQuery ML, a new feature of its BigQuery data warehouse, by building some machine learning functionality right into BigQuery.

Using BigQuery ML, developers can build models using linear and logistical regression right inside their data warehouse without having to transfer data back and forth as they build and fine-tune their models. And all they have to do to build these models and get predictions is to write a bit of SQL.

Moving data doesn’t sound like it should be a big issue, but developers often spend a lot of their time on this kind of grunt work — time that would be better spent on actually working on their models.

BigQuery ML also promises to make it easier to build these models, even for developers who don’t have a lot of experience with machine learning. To get started, developers can use what’s basically a variant of standard SQL to say what kind of model they are trying to build and what the input data is supposed to be. From there, BigQuery ML then builds the model and allows developers to almost immediately generate predictions based on it. And they won’t even have to write any code in R or Python.

These new features are now available in beta.


Source: TechCrunch

Google launches a standalone version of Drive for businesses that don’t want the full G Suite

If you are a business and want to use Google Drive, then your only option until now was to buy a full G Suite subscription, even if you don’t want or need access to the rest of the company’s productivity tools. Starting today, though, these businesses will be able to buy a subscription to a standalone version of Google Drive, too.

Google says that a standalone version of Drive has been at the top of the list of requests from prospective customers, so it’s now giving this option to them in the form of this new service (though to be honest, I’m not sure how much demand there really is for this product). Standalone Google Drive will come with all the usual online storage and sharing features as the G Suite version.

Pricing will be based on usage. Google will charge $8 per month per active user and $0.04 per GB stored in a company’s Drive.

Google’s idea here is surely to convert those standalone Drive users to full G Suite users over time, but it’s also an acknowledgement on Google’s part that not every business is ready to move away from legacy email tools and desktop-based productivity applications like Word and Excel just yet (and that its online productivity suite may not be right for all of those businesses, too).

Drive, by the way, is going to hit a billion users this week, Google keeps saying. I guess I appreciate that they don’t want to jump the gun and are actually waiting for that to happen instead of just announcing it now when it’s convenient. Once it does, though, it’ll become the company’s eighth product with more than a billion users.


Source: TechCrunch

Google is making a fast specialized TPU chip for edge devices and a suite of services to support it

In a pretty substantial move into trying to own the entire AI stack, Google today announced that it will be rolling out a version of its Tensor Processing Unit — a custom chip optimized for its machine learning framework TensorFlow — optimized for inference in edge devices.

That’s a bit of a word salad to unpack, but here’s the end result: Google is looking to have a complete suite of customized hardware for developers looking to build products around machine learning, such as image or speech recognition, that it owns from the device all the way through to the server. Google will have the cloud TPU (the third version of which will soon roll out) to handle training models for various machine learning-driven tasks, and then run the inference from that model on a specialized chip that runs a lighter version of TensorFlow that doesn’t consume as much power. Google is exploiting an opportunity to split the process of inference and machine training into two different sets of hardware and dramatically reduce the footprint required in a device that’s actually capturing the data. That would result in faster processing, less power consumption, and potentially more importantly, a dramatically smaller surface area for the actual chip.

Google is also rolling out a new set of services to compile TensorFlow (Google’s machine learning development framework) into a lighter-weight version that can run on edge devices without having to call the server for those operations. That, again, reduces the latency and could have any number of results, from safety (in autonomous vehicles) to just a better user experience (voice recognition). As competition heats up in the chip space, both from the larger companies and from the emerging class of startups, nailing these use cases is going to be really important for larger companies. That’s especially true for Google as well, which also wants to own the actual development framework in a world where there are multiple options like Caffe2 and PyTorch.

Google will be releasing the chip on a kind of modular board not so dissimilar to the Raspberry Pi, which will get it into the hands of developers that can tinker and build unique use cases. But more importantly, it’ll help entice developers who are already working with TensorFlow as their primary machine learning framework with the idea of a chip that’ll run those models even faster and more efficiently. That could open the door to new use cases and ideas, and should it be successful, will lock those developers further into Google’s cloud ecosystem on both the hardware (the TPU) and framework (TensorFlow) level. While Amazon owns most of the stack for cloud computing (with Azure being the other largest player), it looks like Google is looking to own the whole AI stack – and not just offer on-demand GPUs as a stopgap to keep developers operating within that ecosystem.

Thanks to the proliferation of GPUs, machine learning has become increasingly common across a variety of use cases, which doesn’t just require the horsepower to train a model to identify what a cat looks like. It also needs the ability to take in an image and quickly identify that said four-legged animal is a cat based on the model it’s trained with tens of thousands (or more) images of what a cat is. GPUs were great for both use cases, but it’s clear that better hardware is necessary with the emergence of use cases like autonomous driving, photo recognition on cameras, or a variety of others — for which even millisecond-level lag is too much and power consumption, or surface area, is a dramatic limiting factor.

The edge-specialized TPU is an ASIC chip, a breed of chip architecture that’s increasingly popular for specific use cases like mining for cryptocurrency (such as larger companies like Bitmain). The chips excel at doing specific things really well, and it’s opened up an opportunity to tap various niches, such as mining cryptocurrency, with specific chips that are optimized for those calculations. These kinds of edge-focused chips tend to do a lot of low-precision calculations very fast, making the whole process of juggling runs between memory and the actual core significantly less complicated and consuming less power as a result.

While Google’s entry into this arena has long been a whisper in the Valley, this is a stake in the ground for the company that it wants to own everything from the hardware all the way up to the end user experience, passing through the development layer and others on the way there. It might not necessarily alter the calculus of the ecosystem, as even though it’s on a development board to create a playground for developers, Google still has to make an effort to get the hardware designed into other pieces of hardware and not just its own if it wants to rule the ecosystem. That’s easier said than done, even for a juggernaut like Google, but it is a big salvo from the company that could have rather significant ramifications down the line as every big company races to create its own custom hardware stack that’s specialized for its own needs.


Source: TechCrunch

The 'Guerrilla' Wikipedia Editors Who Combat Conspiracy Theories

Susan Gerbic’s team of over 100 editors are responsible for some of Wikipedia’s most trafficked pages about UFOs and other pseudoscience.
Source: Wired

‘Castle Rock’ Proves Netflix’s Sci-Fi Push Into Genre Is Spreading

Netflix’s foray into sci-fi has resulted in a now-common sight: its competitors following suit. Hulu’s new show is only the first King-sized salvo.
Source: Wired

Scientists Discover Evidence of the First Large Body of Liquid Water on Mars

“Going from zero bodies of water to one is a big change, for sure, but the full extent of this discovery depends on what we find next.”
Source: Wired

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