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Archivo del Autor: Belen De Leon

Jordan Peele steps into the Twilight Zone as new host – CNET

The Twilight Zone is slated for 2019.
Source: CNET

Spotify will let artists upload their songs directly – CNET

But “Spotify is not becoming a label,” an exec says.
Source: CNET

GoPro Hero7 Black: Say goodbye to shake and hello to live streams – CNET

And it’s actually black this time.
Source: CNET

Nintendo has cute classic NES controllers for your Switch, but there's a catch – CNET

Joy-Con who?
Source: CNET

Instagram may divide hashtags from captions to end overhashing

Geofenced sharing, Quiz stickers, Stories Highlight stickers, and a separate interface for adding hashtags to posts are amongst a slew of new features Instagram has prototyped or is now testing. The last one could finally #cure #the #hashtag #madness that’s infected many of Instagram’s 1 billion users, causing them desperately fill up their captions with tagged words that make the feed tough to read in hopes of scoring a few extra views or followers.

The pace of iteration at Instagram is staggering, and helping it to leave Snapchat in the dust. With Facebook’s deep pockets funding its product, design, and engineering teams, Instagram is able to keep its app full of fresh toys to play with. Here’s a look at three prototypes, one test, and one confirmed roll out from Instagram

Hashtag Selector

The feature isn’t released or even necessarily testing yet, and Instagram refused to comment on it. But frequent TechCrunch tipster and mobile researcher Jane Manchun Wong was able to dig the designated hashtag selector prototype out of the Instagram Android app’s code. It shows a dedicated “Add Hashtags” option underneath the caption composer and people tagger. Similar past discoveries by Wong have led to TechCrunch scoops about the eventual release of Instagram video calling, name tags, music stickers, and more, though there’s always a chance Instagram scraps this feature before it ever launches.

Disambiguating hashtags from captions could make adding them to posts less invasive and distracting, and thereby get more users doing it. That could in turn help Instagram tune its feed algorithm to show you more posts with hashtags you seem to care about, get more users following hashtags, allow it to better sort the Explore page with its new topic channels like Sports, Beauty, and Shopping. But perhaps most importantly, it could just make Instagram less annoying. Everyone has that friend that slaps on so many hashtags that their captions become an incoherent mess.

Geofenced Posts

Wong also dug out a powerful new feature that could help social media managers, businesses, and pro creators reach the right audience. Instagram has prototyped a “Choose Locations” option for posts that lets you select from a list of countries where you want your post to be visible. Instagram declined to comment.

The geofencing feature might enable Instagrammers to design different content and captions for different countries and languages. Facebook has offered geofencing for posts for many years, and Instagram already offers ad targeting down to the zip code or mile radius. But if this location chooser launches for everyone’s posts, it could let people and professional accounts express their prismatic identity differently across the globe.

Stories Highlight Stickers

Instagram gave me a confirmation that this final find by Wong is officially in testing. It allows users to turn someone else’s Stories Highlight from their profile into a sticker to overlay on their own Story. It’s an extension of the Quote-tweet style feature Instagram started testing in March that lets you turn people’s public feed posts into Stories stickers so you can add your commentary — or dunk on someone dumb. Stories Highlight Stickers could create a new path to virality for start creators who could convince their followers to re-share their Highlights and turn their friends into fellow fans.

Quiz Stickers

This prototype discovered by WABetaInfo‘s Twitter account allows users to ask a question in their Story and designate a correct answer. The Quiz sticker functions similarly to Instagram’s recently added Poll and Question stickers, but instead of tallying the results or letting you re-post someone’s answer, they’ll immediately see whether they guessed the right answer to your test. This ties into Instagram’s strategy to crush Snapchat by making its own Stories more interactive and turning the connection between fans and followers into a two-way street.

Video Tagging

Instagram did confirm the launch of one new feature, tagging people in videos. TechCrunch spotted thIS last week and Instagram said it was testing, but upon our inquiry told us that it’s now fully rolled out. Video tagging could generate extra visits for Instagram as few people have the willpower to ignore a notification that they were named in a new piece of content. The feature could also help Instagram figure out who to show the videos too by allowing it to place them high in the feed of the best friends of people tagged.

Combined, this flurry of new and potential features proves Instagram isn’t allowing its dominance to diminish its shipping schedule. It also demonstrates that Instagram VP of product Kevin Weil’s move to Facebook’s blockchain team his replacement by former News Feed VP Adam Mosseri hasn’t disrupted the app’s brisk pace of innovation.

The jury is still out about whether Instagram’s biggest new initiatives will take off. IGTV is off to a slow start, but will need time to build a long-form video archive to rival YouTube. And we’ll have to wait and see if users grow addicted to Instagram Explore’s new Shopping channel. But constantly updating the app takes pressure off of any one feature to carry the weight of a billion people’s eyes. Who wants to build a direct competitor to something evolving this fast?


Source: TechCrunch

ESPN+ streaming service hits 1 million paid subscribers – CNET

Disney’s first streaming service, ESPN+ launched five months ago.
Source: CNET

Lunewave is pitching a new sensor offering better vision for autonomous vehicles

The investment arms of BMW and the Chinese search technology giant, Baidu, along with a large original equipment manufacturer for the auto industry and a slew of technology investors have all come together to back Lunewave, a startup developing new sensor technologies for autonomous vehicles.

The $5 million seed round which the company just closed will serve as a launching pad to get its novel radar technology, based on the concept of a Luneburg antenna, to market.

First developed in the 1940s, Lunewave’s spin the antenna technology involves leveraging 3D printing to create new architectures that enable more powerful antennas with greater range and accuracy than the sensing technologies currently on the market, according to the company’s chief executive John Xin.

Lunewave was co-founded by brothers John and Hao Xin and is based off of research that Hao had been conducting as a professor at the University of Arizona. Hao previously spent years working in the defense community for companies like Raytheon and Rockwell Scientific after graduating with a doctorate from the Massachusetts Institute of Technology in 2000.

Younger brother John took a more entrepreneurial approach, working in consulting and financial services for companies like PriceWaterhouseCoopers and Liberty Mutual.

Lunewave represents the culmination of nine years of research the elder Xin spent at the University of Arizona applying 3D printing to boost the power of the Luneburg antenna. With so much intellectual firepower behind it, Hao was able to convince his younger brother to join him on the entrepreneurial journey.

He has a strong desire to commercialize his inventions,” John Xin said of his older brother. “He wants to see it in everyday life.”

Autonomous Vehicle

 Image courtesy of Driving-Tests.org

Now the company has $5 million in new funding to take the technology that Hao Xin has dedicated so much time and effort to develop and bring it to market. 

“With a single 3D printer in the laboratory version we can produce 100 per day,” John Xin told me. “With an industrial printer you can print 1000 per day.”

The first market for the company’s new technology will be autonomous vehicles — and more specifically autonomous cars.

Lunewave is focused on the eyes of the vehicle, says John Xin. Currently, autonomous technologies rely on a few different sensing systems. There are LIDAR technologies which use lasers to illuminate a target and measure the reflected pulses with a sensor; camera technologies which rely on — well — camera technologies; and radar which uses electromagnetic waves to detect objects.

Startups developing and refining these technologies have raised hundreds of millions of dollars to tackle the autonomous vehicle market. In June, the camera sensing technology developer Light raised over $120 million from SoftBank. Meanwhile, LIDAR technology developers like Quanergy and Leddartech have raised $134 million and $117 million respectively and some studies have claimed that the market for LIDAR technologies was already a $5.2 billion last year alone.

Most companies working with autonomous cars these days use some combination of these technologies, but the existing products on the market have significant limitations, according to Lunewave’s chief executive.

John Xin argues that the Lunewave technology can detect more objects in a wider field of view and at greater distances than existing products thanks to the unique properties of the Luneburg antenna.

Think of the antenna as a giant golf ball with a 360 field of “view” that can detect objects at greater distances than existing Lidar technologies because of the distance constraints on laser technologies.

Xin with a Lunewave prototype

“LIDAR right now is at the end of the day because of its short wavelength. It does not function as well in poor weather conditions. Penetration of shorter wave lengths would be very difficult in poor weather conditions,” Xin said. “Our radar technology has the ability to function across all weather conditions. Our hardware architecture of our Lunenberg antenna has the best distance and the spherical nature of the device has the 360 detection capacity.”

The company came out with its minimum viable product in 2017 — the same year that it launched. It was one of the early companies in the UrbanX accelerator — a collaboration between Mini and Urban.us — and is part of BMW’s startup garage program.

The company raised $5 million in two structures. Its seed financing was a $3.75 million equity round led by the automotive investment specialist McCombs Fraser with participation from Ekistic Ventures, Urban.us, Plug and Play, Shanda Capital, Lighthouse Ventures, Baidu Ventures and BMW iVentures. But a portion of its capital came in the form of a $1.25 million non-dilutive government grant through the National Science Foundation . “In late 2016 that’s what helped us to jumpstart the company,” said Xin.

Now, the company just needs to fulfill Hao Xin’s dream of taking the product to market.

“We have the product,” John Xin said. “It’s not just taking in money. Now it’s about [proof of concepts] and pilots.”


Source: TechCrunch

Invisible Swarms of Particles Envelop Us All. Come Have a Look

Scientists have demonstrated a promising technique for measuring and mapping your exposome—the flecks of animate and inanimate stuff that surround you at all times.
Source: Wired

Apple Watch fire face was made with actual fire

With the Apple Watch Series 4, Apple introduced a new, larger display. It now has rounded edges and thinner bezels. And the company took advantage of that display to introduce new fire, water, liquid metal and vapor faces. Apple didn’t use CGI to create those faces — they shot those faces in a studio.

Many companies would have rendered those effects on a computer given the size of the display. But those are actual videos shot with a camera.

Cool Hunting shared a video of the actual process, and it’s insane:

As you can see, Apple used a flamethrower against a transparent surface, exploded a balloon at the top of a basin of water, made a color powder explosion in a cylinder and rotated a small puddle of metallic liquid.

It says a lot about Apple’s design culture — they don’t take shortcuts and they have a lot of money.

Here’s the introduction video for the new Apple Watch:


Source: TechCrunch

AI could help push Neo4j graph database growth

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, Neo4j, the makers of the open source and commercial graph database platform, announced the release of Neo4j 3.5, which has a number of new features aimed specifically at AI and machine learning.

Neo4j founder and CEO Emil Eifrem says he had recognized the connection between AI and machine learning and graph databases for awhile, but he says that it has taken some time for the market to catch up to the idea.

“There has been a lot momentum around AI and graphs…Graphs are very fundamental to AI. At the same time we were seeing some early use cases, but not really broad adoption, and that’s what we’re seeing right now,” he explained.

AI graph uses cases. Graphic: Neo4j

To help advance AI uses cases, today’s release includes a new full text search capability, which Eifrem says has been one of the most requested features. This is important because when you are making connections between entities, you have to be able to find all of the examples regardless of how it’s worded — for example, human versus humans versus people.

Part of that was building their own indexing engine to increase indexing speed, which becomes essential with ever more data to process. “Another really important piece of functionality is that we have improved our data ingestion very significantly. We have 5x end-to-end performance improvements when it comes to importing data. And this is really important for connected feature extraction, where obviously, you need a lot of data to be able to train the machine learning,” he said. That also means faster sorting of data too.

Other features in the new release include improvements to the company’s own Cypher database query language and better visualization of the graphs to give more visibility, which is useful for visualizing how machine learning algorithms work, which is known as AI explainability. They also announced support for the Go language and increased security.

Graph databases are growing increasingly important as we look to find connections between data. The most common use case is the knowledge graph, which is what lets us see connections in a huge data sets. Common examples include who we are connected to on a social network like Facebook, or if we bought one item, we might like similar items on an ecommerce site.

Other use cases include connected feature extraction, a common machine learning training techniques that can look at a lot of data and extract the connections, the context and the relationships for a particular piece of data, such as suspects in a criminal case and the people connected to them.

Neo4j has over 300 large enterprise customers including Adobe, Microsoft, Walmart, UBS and NASA. The company launched in 2007 and has raised $80 million. The last round was $36 million in November 2016.


Source: TechCrunch

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