Category: UNCATEGORIZED

27 Jun 2019

AT&T’s 5G network hits (parts of) Las Vegas

Hey, so remember earlier today when I said that new 5G cities still qualify as news, for a little while longer, at least? AT&T is making it under the wire with the addition of Las Vegas to its growing portfolio of 5G business cities.

The addition of Sin City brings the carrier’s total up to 20 cities for its 5G+ — a confusing branding it gave to avoid confusion with its purposefully confusing 5G E branding. Confused? Good. That was kind of the point.

Anyway, AT&T’s certainly adding cities at a rapid clip and outpacing the competition with the sheer number of locations. Of course, it’s important to note two things.

  1. This is limited to business users for the time being
  2. It’s limited to “parts” of Las Vegas

The second bit is in line with the rest of AT&T’s 5G offerings. It also goes for Verizon’s including the recent additions of Denver and Providence. AT&T hasn’t specified which parts yet (Verizon, on the other hand, was EXTREMELY specific). In both cases, though, I’d anticipate spending plenty of time switching back and forth between 5G and LTE.

If that sounds good, AT&T offers the Samsung Galaxy S10 5G for doing just that.

27 Jun 2019

Tiny Robobee X-Wing powers its flight with light

We’ve seen Harvard’s Robobee flying robot evolve for years: After first learning to fly, it learned to swim in 2015, then to jump out of the water again in 2017 — and now it has another trick up its non-existent sleeve. The Robobee X-Wing can fly using only the power it collects from light hitting its solar cells, making it possible to stay in the air indefinitely.

Achieving flight at this scale is extremely hard. You might think that being small, it would be easy to take off and maintain flight, like an insect does. But self-powered flight actually gets much harder the smaller, which puts insects among the most bafflingly marvelous feats of engineering we have encountered in nature.

Oh, it’s easy enough to fly when you have a wire feeding you electricity to power a pair of tiny wings — and that’s how the Robobee and others flied before. It’s only very recently that researchers have accomplished meaningful flight using on-board power or, in one case, a laser zapping an attached solar panel.

robobee chartThe new Robobee X-Wing (named for its 4-wing architecture) achieves a new milestone with the ability to fly with no battery and no laser — only plain full-spectrum light coming from above. Brighter than sunlight, to be fair — but close to real-world conditions.

The team at Harvard’s Microrobotics Laboratory accomplished this by making the power conversion and wing mechanical systems incredibly lightweight — the whole thing weighs about a quarter of a gram, or about half a paper clip. Its power consumption is likewise lilliputian:

Consuming only 110–120 milliwatts of power, the system matches the thrust efficiency of similarly sized insects such as bees. This insect-scale aerial vehicle is the lightest thus far to achieve sustained untethered flight (as opposed to impulsive jumping or liftoff).

That last bit is some shade thrown at its competitors, which by nature can’t quite achieve “sustained untethered flight,” though what constitutes that isn’t exactly clear. After all, this Dutch flapping flyer can go a kilometer on battery power. If that isn’t sustained, I don’t know what is.

In the video of the Robobee you can see that when it is activated, it shoots up like a bottle rocket. One thing they don’t really have space for on the robot’s little body (yet) is sophisticated flight control electronics and power storage that could let it use only the energy it needs, flapping in place.

That’s probably the next step for the team, and it’s a non-trivial one: adding weight and new systems completely changes the device’s flight profile. But give them a few months or a year and this thing will be hovering like a real dragonfly.

The Robobee X-Wing is exhaustively described in a paper published in the journal Nature.

27 Jun 2019

Ornikar raises $40 million for its driving school marketplace

French startup Ornikar is raising a $40 million Series B round (€35 million) from Idinvest and Bpifrance. The company competes with traditional driving schools in Europe with an online marketplace of students and teachers.

And Ornikar has been a massive success in France. Overall, 35 percent of driving school registrations in 2019 are handled by Ornikar.

There are many advantages in choosing Ornikar. For driver students, Ornikar is much more flexible than a traditional driving school. Driving schools in France are usually pretty small with only a handful of employees. It’s sometimes hard to book lessons, especially if you have a full-time work.

When you sign up to Ornikar, you can connect to your Ornikar account and book an hour or two from there. Ornikar works with a pool of 650 instructors so that you get to study at your own pace.

Ornikar is also cheaper than a traditional driving school. By automating the administration work as much as possible, the startup says that it is 35 percent cheaper than a traditional driving school. It currently costs €750 for 20 hours of lessons.

“We’ve been profitable in 2018 and very profitable in 2019 for the French market,” Ornikar co-founder and CEO Benjamin Gaignault told me.

Here are some numbers. Every month, 30,000 people sign up to Ornikar in France. The startup manages 70,000 hours of lessons per month on its marketplace.

Ornikar works with qualified instructors who got a license to work in a driving school. They get paid €15 per hour, which is theoretically more than in a normal driving school.

With today’s funding round, the startup wants to expand to more countries. Ornikar is already live in Germany and Spain, but the company wants to grow the product there. Eventually, the company will also expand to Italy and the U.K.

In addition to new countries, Ornikar wants to sell other car-related products. The company is partnering with third-party companies for car insurance products, and there will be more products down the road.

Ornikar had previously raised an $11.3 million Series A (€10 million) and a $1.3 million seed round (€1 million). Existing investors include Brighteye, Partech, Elaia, Xavier Niel, Jacques-Antoine Granjon and Marc Simoncini.

27 Jun 2019

Win a Wild Card to compete in Startup Battlefield at Disrupt SF 2019

Did you miss the deadline to compete in the Startup Battlefield at Disrupt San Francisco 2019 on Oct. 2-4? Cheer up buckaroo. You may be down, but you’re not out. You have one last chance for Startup Battlefield glory.

“Tell me more,” we hear you cry. Buy a demo table and exhibit in Startup Alley at Disrupt SF for a chance to win a Wild Card entry to Startup Battlefield. Out of all the startups exhibiting in the Alley, our team of TechCrunch editors will select two standouts as Wild Card teams. Those teams will compete head-to-head in Startup Battlefield for $100,000 equity-free cash, the Disrupt Cup and plenty of investor and media attention.

Yes, it’s a longshot, but sometimes longshots pay off. Just ask the folks at RecordGram. Not only did the company reap the many benefits of exhibiting in Startup Alley, but it also earned a Wild Card slot and won the Startup Battlefield championship.

Whether or not you earn a Wild Card or compete in Startup Battlefield, exhibiting in Startup Alley offers almost infinite opportunity. More than 10,000 attendees will be on hand, and they’ll be hungry to explore everything Startup Alley has to offer. It’s a networking paradise where you just might connect with future customers, investors, partners, advisors, employees and marketers. Plus, with 400 media outlets attending, plenty of journalists will be trolling for great stories.

Caleb John, founder and CEO of Cedar Robotics, met hundreds of people demonstrating his company’s tech in Startup Alley. He calls the experience “one of the coolest things we’ve ever done.”

Of course, you get all the other benefits associated with your Startup Alley Exhibitor Package. Three full days of programming across all four Disrupt stages including the Main stage where you’ll hear a lineup of amazing speakers. You also receive access to interactive workshops, the complete attendee list via Disrupt Mobile App, CrunchMatch, our attendee-networking platform, networking parties, the TechCrunch After Party and exclusive video content access once the conference ends.

Disrupt San Francisco 2019 on Oct. 2-4. Come exhibit in Startup Alley for your chance to win one of two Wild Card spots and your last opportunity to compete in Startup Battlefield. Go for it!

Not quite ready for prime time on the Disrupt Main stage? No worries. Why not apply for our TC Top Picks program? Our TC Top Picks receive a free Startup Alley Exhibitor Package, VIP treatment and plenty of media and investor exposure.

Is your company interested in sponsoring or exhibiting at Disrupt San Francisco 2019? Contact our sponsorship sales team by filling out this form.

27 Jun 2019

Daily Crunch: Reddit quarantines Trump-focused community

It’s NEWSLETTER TIME get pumped! I know I am – it’s my first Daily Crunch in over a year. That’s right, your friendly neighborhood Anthony Ha is otherwise occupied today so I’m back to deliver this baby to you, devoted readers. And there’s news: Plenty o’ News.

1. Reddit puts r/The_Donald in a corner

Reddit has long had an uncomfortable relationship with one of its communities, a subreddit called r/The_Donald which focuses on all things related to the current U.S. President (still seems like a totally crazy thing to say).

quarantined

The so-called ‘front page of the Internet’ has finally had enough – or at least, the stage before truly ‘enough.’ It’s quarantined r/The_Donald, meaning that its content won’t ooze beyond the community into the rest of Reddit’s multi-community surfaces. So you have to choose to wallow in that filth, going in eyes wide open.

2. Apple makes a key chip talent hire

Apple loves using its own chips in its products, and keeps adding more chips all the time to handle things like on-device security and wireless connections with accessories. Now it’s brought on a leading ARM chip designer, which is obviously fuelling speculation that Apple could replace Intel with its own ARM-based processors to power next-generation Macs.

3. Live stream selling app expands to in-person sales

NTWRK is a weird hybrid of QVC and HQ Trivia, with people selling you stuff via live stream. The app is now expanding into physical events, which I guess will resemble flash sales mixed crossed with concerts?

4. Station F is launching a co-living space for startups

Station F is a gigantic co-working space in Paris that seemed like an unlikely proposition when it was first revealed. It got made and has been operating for years now, however. So maybe there’s a chance that its new ‘Flatmates’ co-living space, which can house up to 600 people in shared apartment arrangements, can do the same.

5. Amazon debuts counter pick-up at Rite Aid

Amazon is introducing a new counter pick-up service for packages at stores in the U.S, starting with 100 Rite Aid locations. Amazon has hollowed out the bodies of its retail hosts and is now parasitically using their corpses to propagate.

6. TripActions raises $250M and is now valued at $4B

That’s four unicorns stacked atop one another, if you’re counting. TripActions is an enterprise booking platform, which is big business, and if it’s at all an improvement over the various legacy ones I’ve used over the years, then it’s probably worth that high value assessment.

7. Volkswagen launches all-electric car sharing

A car sharing network made up of only electric vehicles?! Now there’s one from Volkswagen, called WeShare. It’s only live in Berlin as of today, and it probably isn’t destined for U.S. shores anytime soon, but it’s definitely a sign of the times.

27 Jun 2019

Chronicle, X’s security moonshot, moves to Google Cloud

Google Cloud today announced that Chronicle, the enterprise security company Google’s parent company Alphabet incubated under its X “moonshot factory,” is moving to Google Cloud and becoming part of Google’s security portfolio.

Chronicle officially launched out of X in January 2018, when it became an independent company under the Alphabet umbrella. Stephen Gillett, who was previously the COO of security company Symantec, became its CEO.

Spinning out Chronicle instead of bringing it to Google Cloud always seemed like an odd move. It was likely meant to see if its products, including malware and virus scanning service VirusTotal and its enterprise security intelligence and analytics platform, could stand on their own. It’s unclear how well Chronicle did in the market, but given Google’s focus on growing its cloud business, it seems like a logical move to now integrate Chronicle into Google Cloud.

“Chronicle’s products and engineering team complement what Google Cloud offers,” Google Cloud CEO Thomas Kurian writes today, “Chronicle’s VirusTotal malware intelligence services will be a powerful addition to the pool of threat data informing Google Cloud offerings, and will continue to support applications running on our platforms.”

He also notes that the team saw that both Chronicle and Google Cloud were already on a trajectory that saw them converge on the same kind of solutions.

He expects to see a full integration of Chronicle’s security tools into Google Cloud by this fall.

27 Jun 2019

SpaceX reportedly seeking over $300M in fresh funding

SpaceX is looking to raise a bunch of new cash – $314.2 million at a per share price of $214, according to a new CNBC report. The raise would be the third total this year, which together added up to over $1 billion in new capital.

Both those filings were revealed in May, so it’s a lot of money to be generating not even halfway through 2019. But SpaceX is also spending a lot, and expanding beyond its existing rocket launch business with new projects that have high costs, including building an all-new reusable spacecraft called the “Starship” and launching a constellation of satellites called “Starlink” to serve high-speed internet to traditionally underserved customers globally.

Meanwhile, SpaceX is still making money on launches, and CEO Elon Musk estimated last year that it’s probably on track for around $3 billion in revenue for this year. That’s a good chunk of change, but Musk has a lot of pots in the fire, including presumably a plan to still make its way to Mars and set up permanent operations on the red planet, as detailed in a couple consecutive talks at the annual International Astronautical Congress.

We’ve reached out to SpaceX for comment and will update if they respond.

27 Jun 2019

Zola founder and CEO Shan-Lyn Ma is coming to Disrupt SF

Many, many startups have tried to work their way into the U.S.’s $76 billion wedding market. But Zola is one of the few that’s truly carved a path in this massive industry.

That’s why we’re so thrilled to have Shan-Lyn Ma, CEO of Zola, join us at Disrupt SF in October.

After graduating with an MBA from Stanford, Ma climbed the ranks at Yahoo, going from a marketing intern to Senior Product Marketing manager in three years. She moved on to Gilt Groupe as a Senior Director of Product before creating and launching Gilt’s Food and Wine business, Gilt Taste.

She then spent a year as Chief Product Officer for chloe + isabel inc. before leaving to start a little wedding ecommerce website called Zola in 2013.

Today, Zola has raised more than $140 million from big name investors such as Thrive Capital, Lightspeed Venture Partners, Canvas Ventures, and Goldman Sachs Investment Partners. According to Pitchbook, Zola’s valuation was $650 million as of its latest funding round in 2018.

Part of Zola’s success comes from the fact that it started in a single vertical and continuously added features and products that consolidate the wedding planning process under one roof.

The company launched as a simple wedding registry platform, letting couples choose their future gifts and then letting guests log in and buy those gifts through the platform. Over time, however, Zola continued to build upon that momentum to create a one-stop shop for weddings.

Today, Zola users have access to all kinds of resources, including invitations, menus, programs, thank you notes, etc., as well as matching you with wedding planners and other wedding vendors. Oh, and of course there’s a shopping platform for wedding gowns, jewelry, etc.

In just over five years, it has become the de facto platform for couples to plan and execute their wedding. More than half a million couples have used Zola to manage their registry or guest list, and common problems in ecommerce, like holding inventory or dealing with returns, is significantly minimized due to Zola’s model.

In short, there is plenty to learn from Ma at TechCrunch Disrupt, and we can’t wait!

Disrupt SF runs October 2 to October 4 at the Moscone Center in San Francisco. Tickets are available at an early bird rate here.

27 Jun 2019

Google Maps can now predict how crowded your bus or train will be

Google Maps just got a lot more useful for commuters. The company today announced a pair of updates for its mapping application — one that will offer live traffic delays for buses in the cities where it didn’t already provide real-time updates, and another that will tell you how crowded your bus, train, or subway car will be.

The latter is perhaps the more interesting of the two, as it represents a new prediction technique Google has been perfecting for over half a year. Starting in October, the company began to ask Google Maps users to rate their journey if they had traveled during peak commuting hours of 6 am to 10 am. Google asked about how many seats were available or if it was standing room only, in order to identify which lines had the highest number of crowdedness reports.

tokyo crowdedness framed.max 1000x1000

Over time, it was able to model this data into a new prediction capability designed to tell transit riders how packed their bus or train would be.

It also used this data to create rankings of the most crowded routes and stops around the world.

Buenos Aires and Sao Paulo dominated the rankings for the most-crowded transit lines, as each city had 3 lines in the top 10. Meanwhile, New York’s L train is the only one in the U.S. to rank in the top 10.

This isn’t the first time Google has used its massive Maps footprint to make predictions about crowds. The company had already introduced similar features for predicting the size of the crowd at restaurants and other retail locations.

In addition, Google today expanded its ability to alert bus riders to delays.

ETTs

In December 2017, the company began offering real-time information provided by local transit agencies to transit riders. But this data wasn’t available in all cities. To address the problem, Google is launching live traffic delays in those markets where the information has been lacking — like Atlanta, GA.

To make its predictions, Google is combining the bus route details with the data it’s collecting from users who have consented to anonymized data sharing. This is the same data collection mechanism it uses to predict the crowds at local businesses today. Essentially, the company is turning Google Maps into a powerful tool to understand the movement of people in the world. But many users may not know they’ve been opted into this data-sharing by default. In fact, they probably will think the transit data is coming from the city — not from the app installed on their phone and millions of others.

In any event, users will now be able to see the bus delays, how long the delay will be, and adjusted travel times based on these live conditions.

Google says the new features are rolling out on Google Maps in nearly 200 cities worldwide on both Android and iOS today.

 

 

27 Jun 2019

MIT’s new interactive machine learning prediction tool could give everyone AI superpowers

Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown University researchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” to use with their exiting data sets in order to generate useful predictions.

One example the researchers provide is that doctors could make use of the system to make predictions about the likelihood their patients have of contracting specific diseases based on their medial history. Or, they suggest, a business owner could use their historical sales data to develop more accurate forecasts, quickly and without a ton of manual analytics work.

Researchers are calling this feature the Northstar system’s “virtual data scientist,” (or VDS) and it sounds like it could actually replace the human equivalent, especially in settings where one would never actually be readily available or resourced anyway. Your average doctor’s office doesn’t have a dedicated data scientist headcount, for instance, and nor do most small- to medium-sized businesses for that matter. Independently owned and operated coffee shops and retailers definitely wouldn’t otherwise have access to this kind of insight.

touchscreen analytics 1

This new tool is built on automated machine-learning techniques that are becoming much more ‘au courant,’ since it helps expand the number of people for whom AI technology is accessible.

Northstar itself is the product of more than four years of work, and presents a blank canvas that’s compatible across multiple platforms, and then users can upload their own data sets, which show up as boxes on the interface. They can then drag and drop those into the centre area of the canvas and then draw connecting lines to indicate to that they should be processed with an algorithm of their choosing in combination with one another.

So basically, they could theoretically grab a dataset detailing metabolic rates of patients, and another one detailing their age, and then derive from that how often a specific disease occurs across those two factors. Now, with the new virtual data scientist feature, they’ll be able to combine inputs to generate predictive, AI-based analysis across these combined factors as well.

touchscreen analytics 3

Researchers have also designed this VDS system so that it’s actually the fastest application of automated machine learning to date. That’s another key piece for making it usable by everyone, since it’s not really feasible to imagine people working with this digital whitetable and then waiting ours for results to come out. Next up, it’s going to improve error reporting to help ensure that non-specialist users not only find it easy to use, but also get clear indicators when they do something wrong so they can fix it next time.