We begin with a story.
In the grim darkness of the 2000s, when I was but a little Matt, cocooned in higher learning, intent on writing the Man and sticking it to the Great American Novel and/or vice versa, a friend showed me a remarkable object.
This friend, and her friends, and their friends, had joined in fearsome female conspiracy to produce a list of who, in the… “complicated” is underselling it. Who, in the lunatic “Game of Thrones with twice the beer, half the IQ and no sharp objects” social congress of a co-ed dorm full of liberal arts majors, had been canoodling with whom.
My entry appeared 18th. High midfield – there were about 80. I never got up the nerve to ask how we were ranked.
You wouldn’t believe how useful that list has been to my life. Not the list itself, beyond a healthy infusion of self-doubt (18th?). But the concept, friends. Who’s smooching whom? It’s the universal question. Money and math are just ways to track it. Map the relationships, you’ve mapped the thing.
Let us therefore speak of self-driving cars. Because they’re coming, we all know it, and like any reasonable person you would like to acquire a giant Scrooge McDuck money pool to swim in thereby.
First, for our purposes, assume every car manufacturer has an in-house outfit at least looking at autonomous cars, because duh. For our purposes, they’re celibate. Nothing wrong with that.
Second, for the sake of their self-image (18th? Really? I mean, it was 80-some, but… really?) I’ll keep my smoochers alphabetical.
Now. Who, amongst the people actually building autonomous cars, is smooching whom?
Daimler, or Mercedes to be all American about it, is smooching..
…Smart. Yep, just Smart, which is a Daimler brand. Daimler is quite monogamous in its autonomous automotive endeavors. Aww. And seriously, the self-driving Smart Car is freaking adorable.
…Lyft, which is branching out of the X-as-a-service business to actually build stuff. At least, it says it is. Fair dues, it says it emphatically, like “by 2021 a majority of our rides will be in self-driving cars, and by 2025 personal car ownership won’t be a thing.” To that end, they’re smooching…
…Ford, because, you know, Ford makes cars and Lyft doesn’t.
…themselves. We’ve all been there.
But there’s more to Lyft. I ain’t saying Lyft is a gold digger, but it is not frequently seen in the company of partners with less than substantial means. They’re looking to be network of choice for other people’s self driving cars. That is, Lyft seeks to be smooched. Big-name volunteers currently include GM and Jaguar.
Uber. I’m almost hesitant to write about Uber, because, my Deity of Choice, Uber is a hot mess right now. Like, really. But they do theoretically have a business model other than litigation, and they have made a commitment to actually making, not just contracting, self-driving cars. To that end, they’ve been doing some hopefully less-skeezy-than-usual smooching with…
…Otto. Otto was Uber’s Waymo, their in-house startup. Unfortunately, they’re currently in court arguing that it’s not Uber’s Waymo in the sense that a Waymo executive stole a bunch of stuff from Waymo, then hooked up with Uber. Oh my, the drama. Poor Otto, like so many third wheels, appears to have been dropped, but there was smoochin’ going on. Litigious smooching! That is the worst kind of smooching.
…Volvo. Volvo was going to be to Uber what Fiat Chrysler was to Waymo. You may be sensing a pattern. Also, the Uber Volvo self-drivers are back in testing after smacking into somebody in Arizona. See aforementioned “mess, hot.”
Volvo. What’s to say about Volvo? My first car was a Volvo wagon (of course it was, I am, as noted elsewhere in my oeuvre, a painfully stereotypical fluffy hippie) and I can think of nothing exciting to say about Volvo. That (un)said, Volvo has a rep for surprisingly forward thinking techwise, given its cars are best known for safety, reliability and other unsexy things. That’s borne out in its smooching, which includes…
…Autoliv, which, world’s largest auto safety supplier. Sounds like Volvo.
…Nvidia, which, what? Nvidia’s definitely the “s/he’s hooking up with who?” entry on this list. For non-nerds in the audience, Nvidia’s main consumer-focused business is graphics processing for PCs. Gamer stuff. They make sure you can see the individual folds of brain tissue off the zombie you just domed. As an Nvidia customer myself, I’d never lower myself to a stereotype-laden joke like “Nvidia’s doing cars? Nvidia customers don’t go outside!” but, well. On the other hand, chipsets. They are very good at them.
Waymo, the Alphabet-owned (read “Google, but for things we don’t want to call Google”) startup that’s all autonomous cars, all the time, is smooching…
…well, mostly Google. They would be. But – can we be real a second? Google’s a slut. We all know it. Get a little entrepreneurial Natty Light in ‘em and they’ll go home with anything. So in practice, Waymo is smooching…
…Fiat Chrysler Automotive to get the cars on the road. That’s already happened with their Early Rider Program, which has put 500 robo-Chryslers on the streets of Phoenix, something I still find vaguely intimidating. If the satnav says “Exterminate!” I’m moving to Mars.
…Intel for hardware. Waymo still does its development entirely in-house, but Intel, being noted for building nice chips, is building the chips.
The great thing about “who’s smooching whom” is that, when you map that one aspect, you get a sense of the whole. That list from the first paragraph? An alien could be given that and no other information about h. sapiens collegiensis and determine “these organisms have little impulse control, no understanding of consequences, and should probably consume less of a mysterious resource called ‘beer.’”
The Spock analysis of automotive smooching yields similar results. For all the crazed Lannister decadence above, the relationships people are building in order to make self-driving cars a reality come down to three things: a business plan for their use, top-tier tech, and a whole bunch of actual cars.
As yet, nobody has all three, hence the smooching. Lyft has a business plan, but no cars, so smooches for Ford, GM and Jag. Volvo has cars, but no tech or business plan, so Nvidia and Autoliv get their smooches.
The question is, who will get all three in one place in a way customers care about?
That’s where you come in. Read the above, read this (that goes into far greater detail). It has maps!
After that, your call. It’s your money. Like any good smooch, you don’t know how it’s gonna go until it’s gone.
4 ways startups prove their investment in upcoming technology trends
(TECH NEWS) Want to see into the future? Just take a look at what technology the tech field is exploring and investing in today — that’s the stuff that will make up the world of tomorrow.
Big companies scout like for small ones that have proven ideas and prototypes, rather than take the initial risk on themselves. So startups have to stay ahead of technology by their very nature, in order to be stand-out candidates when selling their ideas to investors.
Innovation Leader, in partnership with KPMG LLP, recently conducted a study that sheds light onto the bleeding edge of tech: The technologies that the biggest companies are most interested in building right now.
The study asked its respondents to group 16 technologies into four categorical buckets, which Innovation Leader CEO Scott Kirsner refers to as “commitment level.”
The highest commitment level, “in-market or accelerating investment,” basically means that technology is already mainstream. For optimum tech-clairvoyance, keep your eyes on the technologies which land in the middle of the ranking.
“Investing or piloting” represents the second-highest commitment level – that means they have offerings that are approaching market-readiness.
The standout in this category is Advanced Analytics. That’s a pretty vague title, but it generally refers to the automated interpretation and prediction on data sets, and has overlap with Machine learning.
Wearables, on the other hand, are self explanatory. From smart watches to location trackers for children, these devices often pick up on input from the body, such heart rate.
The “Internet of Things” is finding new and improved ways to embed sensor and network capabilities into objects within the home, the workplace, and the world at large. (Hopefully that doesn’t mean anyone’s out there trying to reinvent Juicero, though.)
Collaboration tools and cloud computing also land on this list. That’s no shock, given the continuous pandemic.
The next tier is “learning and exploring”— that represents lower commitment, but a high level of curiosity. These technologies will take a longer time to become common, but only because they have an abundance of unexplored potential.
Blockchain was the highest ranked under this category. Not surprising, considering it’s the OG of making people go “wait, what?”
Augmented & virtual reality has been hyped up particularly hard recently and is in high demand (again, due to the pandemic forcing us to seek new ways to interact without human contact.)
And notably, AI & machine learning appears on rankings for both second and third commitment levels, indicating it’s possibly in transition between these categories.
The lowest level is “not exploring or investing,” which represents little to no interest.
Quantum computing is the standout selection for this category of technology. But there’s reason to believe that it, too, is just waiting for the right breakthroughs to happen.
Internet of Things and deep learning: How your devices are getting smarter
(TECH NEWS) The latest neural network from Massachusetts Institute of Technology shows a great bound forward for deep learning and the “Internet of Things.”
The deep learning that modifies your social media and gives you Google search results is coming to your thermostat.
Researchers at the Massachusetts Institute of Technology (MIT) have developed a deep learning system of neural networks that can be used in the “Internet of Things” (IoT). Named MCUNet, the system designs small neural networks that allow for previously unseen speed and accuracy for deep learning on IoT devices. Benefits of the system include energy savings and improved data security for devices.
Created in the early 1980s, the IoT is essentially a large group of everyday household objects that have become increasingly connected through the internet. They include smart fridges, wearable heart monitors, thermostats, and other “smart” devices. These gadgets run on microcontrollers, or computer chips with no processing system, that have very little processing power and memory. This has traditionally made it hard for deep learning to occur on IoT devices.
“How do we deploy neural nets directly on these tiny devices? It’s a new research area that’s getting very hot,” said Song Han, Assistant Professor of Computer Science at MIT who is a part of the project, “Companies like Google and ARM are all working in this direction.”
In order to achieve deep learning for IoT connected machines, Han’s group designed two specific components. The first is TinyEngine, an inference engine that directs resource management similar to an operating system would. The other is Tiny NAS, a neural architecture search algorithm. For those not well-versed in such technical terms, think of these things like a mini Windows 10 and machine learning for that smart fridge you own.
The results of these new components are promising. According to Han, MCUNet could become the new industry standard, stating that “It has huge potential.” He envisions the system has one that could help smartwatches not just monitor heartbeat and blood pressure but help analyze and explain to users what that means. It could also lead to making IoT devices far more secure than they are currently.
“A key advantage is preserving privacy,” says Han. “You don’t need to transmit the data to the cloud.”
It will still be a while until we see smart devices with deep learning capabilities, but it is all but inevitable at this point—the future we’ve all heard about is definitely on the horizon.
Google is giving back some privacy control? (You read that right)
(TECH NEWS) In a bizarre twist, Google is giving you the option to opt out of data collection – for real this time.
It’s strange to hear “Google” and “privacy” in the same sentence without “concerns” following along, yet here we are. In a twist that’s definitely not related to various controversies involving the tech company, Google is giving back some control over data sharing—even if it isn’t much.
Starting soon, you will be able to opt out of Google’s data-reliant “smart” features (Smart Compose and Smart Reply) across the G-Suite of pertinent products: Gmail, Chat, and Meet. Opting out would, in this case, prevent Google from using your data to formulate responses based on your previous activity; it would also turn off the “smart” features.
One might observe that users have had the option to turn off “smart” features before, but doing so didn’t disable Google’s data collection—just the features themselves. For Google to include the option to opt out of data collection completely is relatively unprecedented—and perhaps exactly what people have been clamoring for on the heels of recent lawsuits against the tech giant.
In addition to being able to close off “smart” features, Google will also allow you to opt out of data collection for things like the Google Assistant, Google Maps, and other Google-related services that lean into your Gmail Inbox, Meet, and Chat activity. Since Google knowing what your favorite restaurant is or when to recommend tickets to you can be unnerving, this is a welcome change of pace.
Keep in mind that opting out of data collection for “smart” features will automatically disable other “smart” options from Google, including those Assistant reminders and customized Maps. At the time of this writing, Google has made it clear that you can’t opt out of one and keep the other—while you can go back and toggle on data collection again, you won’t be able to use these features without Google analyzing your Meet, Chat, and Gmail contents and behavior.
It will be interesting to see what the short-term ramifications of this decision are. If Google stops collecting data for a small period of time at your request and then you turn back on the “smart” features that use said data, will the predictive text and suggestions suffer? Only time will tell. For now, keep an eye out for this updated privacy option—it should be rolling out in the next few weeks.
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