Google wants to connect everything you own to the internet

Surveilling older adults, connected helmets, wearables talking to doctors and other patents from Big Tech.

Google wants to connect everything you own to the internet

Make all the things smart!

Image: Google/USPTO

Hello and welcome back to the world of zany patents from Big Tech! While 2020 is still dragging on (I know it's 2021, but you can't tell me 2020 is over until I can go anywhere other than the grocery store), at least there are still great new patents to uncover. And there's some fascinating ones this week, including Facebook wanting to make clothes like real in games, Microsoft trying to make sports more inclusive and Google wanting to make it easier to spy on your parents. If that's something you want to do.

And remember: The big tech companies file all kinds of crazy patents for things, and though most never amount to anything, some end up defining the future.

Alphabet

Surveilling older adults

People who have aging parents might find themselves checking in frequently to make sure Mom and Dad are OK, or even buying gadgets or products that make it a little easier to be self-sufficient. Google's solution, according to this patent, is a way to keep tabs on them remotely. Using smart sensors placed around the house, a system like Google Home could be set up to alert a third party about what's happening in the house. For example, the system can send an alert if it notices that nobody is moving around at specific times, and you can then decide whether to call or text to check in. Just be sure to ask your parents' permission first before you turn their home into a personal panopticon.

Making analog products digital

A few years ago, Google introduced Jacquard, its project for interweaving electronic sensors into fabrics. It's been used to add phone controls to denim jackets, bags and even shoes. It's a neat idea, but it requires you to buy new products that you might not actually want. With this patent, Google envisions bringing that same concept to any product you already own and making it smart. That could be things like touch sensors or tracking movement — perhaps you could just slap one of these on your parents instead of putting sensors all over their house.

Keeping your doctor in the loop

Alphabet's health research arm, Verily, is thinking about a future — which we might currently be living through — where people don't need to get to the doctor to be diagnosed. This patent envisions a wearable that can constantly track your heart (it's unclear how much of a drain this would be on a small wearable battery), and identify any potential issues by consulting databases online, like if your data suggests that you might be having an arrhythmia. While there's a few wearables on the market that can do something like this right now, this patent imagines automatically sharing that data with your doctor, presumably so they could review the data, or potentially algorithmically warn you and your doctor that an emergency situation is underway. Hopefully it doesn't call your doctor if you suck at golf, though.

Amazon

Autonomous avoiding

This one is conceptually quite straightforward, but important nonetheless when you're thinking about a phalanx of delivery drones flying around on their own. The patent outlines a laser range-finding system mounted on drone rotors that can help the drones "see" what's around them so they could shift their routes to avoid it. But for many in the drone industry, it's not really the tech that's holding back autonomous deliveries — it's humans.

Apple

Detecting traffic wardens

Rather like with autonomous delivery drones, it's good to know that Apple is thinking about what obstacles its autonomous vehicles might encounter. In this patent, it's specifically thinking about what to do when a car sees something that appears to be someone guiding traffic, and how to react to various hand signals they might make. This makes me think about a future where I could just carry a stop sign around with me and become the king of robot cars, directing them to follow my every whim.

Facebook

Simulating clothing

If you've ever played a video game where someone is wearing clothes (which is … most of them??), you've probably noticed that they don't exactly fall like the ones you wear IRL. I think my favorite example is uniforms in sports games; the systems usually recognize now that cloth stretches as people move, but then instead of just stretching the fabric, they'll stretch out the letters in players' names, making it look like the jerseys are made of elastic. Facebook's patent outlines a system that uses a machine learning-based "cloth simulator" to more realistically mimic how physics affects the wrinkles in simulated clothes. With Facebook's deep push into VR, this could be one of the things that helps the platform feel less like an awkward immersive video game and more like real life, represented in a headset.

Microsoft

An automatic travel diary

When I was growing up, my mom used to make me write a diary anytime we went on vacation. It was a noble endeavor, but amazingly, my child brain was more interested in actually being on vacation than writing about it later. Regardless of what that might have meant from my chosen career, my adult brain is still a fan of this idea. The patent suggests a system that can auto-generate a travel diary based on your calls, texts, photos, location and other data from your phone. You could then share your digital diary with anyone you might want to make jealous — though you should probably consider whether giving over that much data to a system like this is worth the hate-likes.

Bringing sports to visually-impaired people

If this could work, this could be a really neat way to make sports somewhat more inclusive. This patent envisions using sensors to help visually impaired people play sports. The example it gives includes something that looks a lot like an Xbox Kinect sensor built into a batting helmet. In the example, the helmet could provide a signal to the wearer that a pitch is incoming and it's time to swing. Alerts could be vibrations, sounds or other sensory flags. And although it might look odd to wear a batting helmet outside of the baseball diamond, the patent also envisions a system for other aspects of daily life, such as alerting the wearer when it's safe to cross the road.


Icebreakers on social media

If you've had to do any team-building exercises over Zoom during this pandemic, you've probably come across a few sessions of icebreaker questions. Maybe you've had to share what you'd take from your house in a fire, or what brands you unquestionably love. It's a sure-fire way to get people chatting. In this patent, Microsoft is envisioning bringing that energy into the rest of your life, whether on conversations you're having on social media, or even phone calls you're receiving. Pertinent information about friends, colleagues or new connections could be displayed next to their names on social media or when they're calling you, offering something to talk about other than work or the weather, like which marathons they've run or which '90s rock band they're still seeing live.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins