Is Apple finally ready for a touchscreen laptop?

The latest patent filings from Big Tech.

Is Apple finally ready for a touchscreen laptop?

Could it be? A touchscreen MacBook?

Image: Edwin PM/Noun Project

Big Tech didn't disappoint this week, giving us tons of patents to sift through: Google wants to help out by making phone calls for me, Amazon imagines a way to help autonomous vehicles get around, Amazon wants to help e-readers not look bad, and could Apple finally be thinking of a touchscreen laptop?

As always, remember that 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

Speech recognition for everyone

Voice assistants and translation services do a pretty good job understanding people with typical speech. But they can sometimes struggle and provide less-accurate results for people who have atypical speech, for example people who have a lisp or a stutter. This patent wants to help in these situations, by scanning both the typical speech and atypical speech. One use case would be when two people are on the phone; the speech processor could transcribe what the person with atypical speech is saying, so that the other person can understand better.

The best patent of them all

I am an adult, and have been for a very long time. But there's nothing that makes me feel more like a whiny baby than having to make a phone call, regardless of whether it's to order a pizza or to my doctor. But this patent aims to help me directly by doing the calling for me.

It imagines a system that can not only call for you, but it can be programmed to not just call on the user's behalf, but also perform actions based on information gathered. Make a reservation? No problem. Call a car? The robot will handle it. Next I just need the robot to decide what food I'm in the mood for, and I'll never have to think for myself again. Bliss!

Amazon

Figuring out the position of an autonomous vehicle

We're getting really close to a world filled with self-driving cars, and we're even closer to a world of autonomous delivery vehicles. But there are still quite a few things that need to be figured out. Like, what if there are no lines on the road for the vehicle to follow? What if it's in a dead zone and the GPS is spotty?

This patent is looking to help in those situations by using images to help determine where the vehicle is. Using installed sensors and cameras, it could take pictures — even 360-degree panoramic shots — of the environment, which could then be matched up with 2D maps of the area. That way the autonomous vehicle can traverse any terrain to get your delivery to your door without problems.

A better digital reading experience

Reading a book on a Kindle is usually fine. You can adjust the font size, the screen brightness, and even read white words on a black background, if that makes your eyes feel better. But what a Kindle doesn't account for is various text configurations. That's because e-books often use layouts that have been predetermined from hard copies of books, and that layout might not work in an e-reader.

This patent examines various ways of flowing in the text so that it looks good. One way to do that is to take into account the display size as well as the formatting that the publisher and designer intended. That way the book can serve up the proper dimensions for the text, so nothing is cut off and the reading experience is a bit easier.

Apple

Using a cursor with your finger

The lack of a touchscreen Mac in Apple's computer lineup has been a hot topic of debate, with some people saying it's a glaring omission and others predicting that Apple will never offer a touchscreen on the Mac.

But could it be? Could Apple finally be thinking about a touchscreen Mac? This patent is all about implementing a cursor when using your finger on a touchscreen. Using a cursor or some sort of pointing icon could help with accuracy, and therefore the experience of using a touchscreen, but because there would potentially be fewer taps, it could also help with battery life. This all sounds great for an iPhone or iPad, but the patent note that this type of technology could be used with other devices, too: "It should also be understood that, in some embodiments, the device is not a portable communications device, but is a desktop computer with a touch-sensitive surface (e.g., a touch screen display and/or a touchpad)." Let the rumors spreading begin!

Typing with your eyes

Speaking of rumors, another one that's been floating around for a while is the inevitable Apple VR headset. And based on a slew of patent filings lately, it seems like it's also on Apple's mind. This patent lays out a way for selecting a text input field using just your eyes. Does that mean that there won't be a need for the handheld joysticks, like those that come with the Oculus Quest?

Facebook

Headset that takes astigmatism into account

Facebook also has VR on its mind, with this patent that wants to help people who have astigmatism. By changing the voltage provided to a crystal lens, it can bend in a way that produces a clear image for the wearer, no matter how bad their vision is. That's great news for people like me who wear glasses and can't quite seem to get a comfy fit when putting on a VR headset.

Microsoft

Easy email

Email platforms usually offer a limited number of options when it comes to displaying an email. You can view it in a thread or read it one by one; you can enable a preview pane to see what the message says without actually opening it.

This patent asks: Why not do it all? By incorporating both a list and a reading pane in one view, you could see several emails in the list at once. And if they're synchronized so that actions in the list affect what's happening in the reading pane, Microsoft thinks it can provide a more unified, easier way to read email.

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.

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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.

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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.
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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.

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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.

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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.

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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.

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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.

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