#Vehicle Data
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mapgubbins · 20 days ago
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Output Area counts for licensed vehicles in the UK at the end of 2024 released by DfT following FOI request
Post: 9 July 2025
New blog post on my website:
Output Area counts for licensed vehicles in the UK at the end of 2024 released by DfT following FOI request
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smartcartechhub · 3 months ago
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Explore the impact of cloud-based automotive solutions on vehicle connectivity, offering new opportunities for smarter, more efficient driving experiences, and driving innovation in the automotive sector....
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cheezyharu · 9 months ago
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Lmao guess who got into another rhythm game?
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They can hit people with muscle pain/carpel tunnel together.......
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techsikhm · 6 months ago
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techdriveplay · 10 months ago
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Why Quantum Computing Will Change the Tech Landscape
The technology industry has seen significant advancements over the past few decades, but nothing quite as transformative as quantum computing promises to be. Why Quantum Computing Will Change the Tech Landscape is not just a matter of speculation; it’s grounded in the science of how we compute and the immense potential of quantum mechanics to revolutionise various sectors. As traditional…
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oddlittlestories · 10 months ago
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Nothing like a gifset to remind me that I really DON'T like dating men actually
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fragile-practice · 2 years ago
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Week in Review
October 23rd-29th
Welcome to Fragile Practice, where I attempt to make something of value out of stuff I have to read.
My future plan is to do longer-form original pieces on interesting topics or trends. For now, I'm going to make the weekly reviews habitual and see if I have any time left.
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Technology
OpenAI forms team to study ‘catastrophic’ AI risks, including nuclear threats - Tech Crunch; Kyle Wiggers
OpenAI launched a new research team called AI Safety and Security to investigate the potential harms of artificial intelligence focused on AI alignment, AI robustness, AI governance, and AI ethics.
Note: Same energy as “cigarette company funds medical research into smoking risks”.
Artists Allege Meta’s AI Data Deletion Request Process Is a ‘Fake PR Stunt’ - Wired; Kate Knibbs
Artists who participated in Meta’s Artificial Intelligence Artist Residency Program accused the company of failing to honor their data deletion requests and claim that Meta used their personal data to train its AI models without their consent.
Note: Someday we will stop being surprised that corporate activities without obvious profit motive are all fake PR stunts.
GM and Honda ditch plan to build cheaper electric vehicles - The Verge; Andrew J. Hawkins
General Motors and Honda cancel their joint venture to develop and produce cheaper electric vehicles for the US market, citing the chip shortage, rising costs of battery materials, and the changing market conditions.
Note: What are the odds this isn’t related to the 7 billion dollars the US government announced to create hydrogen hubs.
'AI divide' across the US leaves economists concerned - The Register; Thomas Claburn
A new study by economists from Harvard University and MIT reveals a significant gap in AI adoption and innovation across different regions in the US.
The study finds that AI usage is highest in California's Silicon Valley and the San Francisco Bay Area, but was also noted in Nashville, San Antonio, Las Vegas, New Orleans, San Diego, and Tampa, as well as Riverside, Louisville, Columbus, Austin, and Atlanta.
Nvidia to Challenge Intel With Arm-Based Processors for PCs - Bloomberg; Ian King
Nvidia is using Arm technology to develop CPUs that would challenge Intel processors in PCs, and which could go on sale as soon as 2025.
Note: I am far from an NVIDIA fan, but I’m stoked for any amount of new competition in the CPU space.
New tool lets artists fight AI image bots by hiding corrupt data in plain sight - Engadget; Sarah Fielding
A team at the University of Chicago created Nightshade, a tool that lets artists fight AI image bots by adding undetectable pixels into an image that can alter how a machine-learning model produces content and what that finished product looks like.
Nightshade is intended to protect artists work and has been tested on both Stable Diffusion and an in-house AI built by the researchers.
IBM's NorthPole chip runs AI-based image recognition 22 times faster than current chips - Tech Xplore; Bob Yirka
NorthPole combines the processing module and the data it uses in a two-dimensional array of memory blocks and interconnected CPUs, and is reportedly inspired by the human brain.
NorthPole can currently only run specialized AI processes and not training processes or large language models, but the researchers plan to test connecting multiple chips together to overcome this limitation.
Apple’s $130 Thunderbolt 4 cable could be worth it, as seen in X-ray CT scans - Ars Technica; Kevin Purdy
Note: These scans are super cool. And make me feel somewhat better about insisting on quality cables. A+.
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The Shifting Web
On-by-default video calls come to X, disable to retain your sanity - The Register; Brandon Vigliarolo
Video and audio calling is limited to anyone you follow or who is in your address book, if you granted X permission to comb through it.
Calling other users also requires that they’ve sent at least one direct message to you before.
Only premium users can place calls, but everyone can receive them.
Google Search Boss Says Company Invests to Avoid Becoming ‘Roadkill’ - The New York Times; Nico Grant
Google’s senior vice president overseeing search said that he sees a world of threats that could humble his company at any moment.
Google Maps is getting new AI-powered search updates, an enhanced navigation interface and more - Tech Crunch; Aisha Malik
Note: These AI recommender systems are going to be incredibly valuable advertising space. It is interesting that Apple decided to compete with Google in maps but not in basic search, but has so far not placed ads in the search results.
Reddit finally takes its API war where it belongs: to AI companies - Ars Technica; Scharon Harding
Reddit met with generative AI companies to negotiate a deal for being paid for its data, and may block crawlers if no deal is made soon.
Note: Google searches for info on Reddit often seem more effective than searching Reddit itself.  If they are unable to make a deal, and Reddit follows through, it will be a legitimate loss for discoverability but also an incredibly interesting experiment to see what Reddit is like without Google.
Bandcamp’s Entire Union Bargaining Team Was Laid Off - 404 Media; Emanuel Maiberg
Bandcamp’s new owner (Songtradr) offered jobs to just half of existing employees, with cuts disproportionately hitting union leaders. Every member of the union’s eight-person bargaining team was laid off, and 40 of the union's 67 members lost their jobs.
Songtradr spokesperson Lindsay Nahmiache claimed that the firm didn’t have access to union membership information.
Note: This just sucks. Bandcamp is rad, and it’s hard to imagine it continuing to be rad after this. I wonder if Epic had ideas for BC that didn’t work out.
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Surveillance & Digital Privacy
Mozilla Launches Annual Digital Privacy 'Creep-o-Meter'. This Year's Status:  'Very Creepy' - Slashdot
Mozilla gave the current state of digital privacy a 75.6/100, with 100 being the creepiest.
They measured security features, data collection, and data sharing practices of over 500 gadgets, apps, and cars to come up with their score.
Every car Mozilla tested failed to meet their privacy and security standards.
Note: It would be great if even one auto brand would take privacy seriously.
EPIC Testifies in Support of Massachusetts Data Privacy and Protection Act -Electronic Privacy Information Center (EPIC)
Massachusetts version of ADPPA.
Note: While it may warm my dead heart to see any online privacy protections in law, scrambling to do so in response to generative AI is unlikely to protect Americans in any meaningful way from the surveillance driven form of capitalism we’ve all been living under for decades.
Complex Spy Platform StripedFly Bites 1M Victims - Dark Reading
StripedFly is a complex platform disguised as a cryptominer and evaded detection for six years by using a custom version of EternalBlue exploit, a built-in Tor network tunnel, and trusted services like GitLab, GitHub, and Bitbucket to communicate with C2 servers and update its functionality.
iPhones have been exposing your unique MAC despite Apple's promises otherwise - Ars Technica
A privacy feature which claimed to hide the Wi-Fi MAC address of iOS devices when joining a network was broken since iOS 14, and was finally patched in 17.1, released on Wednesday.
Note: I imagine this bug was reported a while ago, but wasn’t publically reported until the fix was released as a term of apple’s bug bounty program.
What the !#@% is a Passkey? - Electronic Frontier Foundation
Note: I welcome our passkey overlords.
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black-in-kansas · 2 years ago
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Your Car... is SPYING on You
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mapgubbins · 1 year ago
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Output Area counts for licensed vehicles in the UK at the end of 2023 released by DfT following FOI request
Post: 23 May 2024
New blog post on my website:
Output Area counts for licensed vehicles in the UK at the end of 2023 released by DfT following FOI request
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jcmarchi · 1 year ago
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Elaine Liu: Charging ahead
New Post has been published on https://thedigitalinsider.com/elaine-liu-charging-ahead/
Elaine Liu: Charging ahead
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MIT senior Elaine Siyu Liu doesn’t own an electric car, or any car. But she sees the impact of electric vehicles (EVs) and renewables on the grid as two pieces of an energy puzzle she wants to solve.
The U.S. Department of Energy reports that the number of public and private EV charging ports nearly doubled in the past three years, and many more are in the works. Users expect to plug in at their convenience, charge up, and drive away. But what if the grid can’t handle it?
Electricity demand, long stagnant in the United States, has spiked due to EVs, data centers that drive artificial intelligence, and industry. Grid planners forecast an increase of 2.6 percent to 4.7 percent in electricity demand over the next five years, according to data reported to federal regulators. Everyone from EV charging-station operators to utility-system operators needs help navigating a system in flux.
That’s where Liu’s work comes in.
Liu, who is studying mathematics and electrical engineering and computer science (EECS), is interested in distribution — how to get electricity from a centralized location to consumers. “I see power systems as a good venue for theoretical research as an application tool,” she says. “I’m interested in it because I’m familiar with the optimization and probability techniques used to map this level of problem.”
Liu grew up in Beijing, then after middle school moved with her parents to Canada and enrolled in a prep school in Oakville, Ontario, 30 miles outside Toronto.
Liu stumbled upon an opportunity to take part in a regional math competition and eventually started a math club, but at the time, the school’s culture surrounding math surprised her. Being exposed to what seemed to be some students’ aversion to math, she says, “I don’t think my feelings about math changed. I think my feelings about how people feel about math changed.”
Liu brought her passion for math to MIT. The summer after her sophomore year, she took on the first of the two Undergraduate Research Opportunity Program projects she completed with electric power system expert Marija Ilić, a joint adjunct professor in EECS and a senior research scientist at the MIT Laboratory for Information and Decision Systems.
Predicting the grid
Since 2022, with the help of funding from the MIT Energy Initiative (MITEI), Liu has been working with Ilić on identifying ways in which the grid is challenged.
One factor is the addition of renewables to the energy pipeline. A gap in wind or sun might cause a lag in power generation. If this lag occurs during peak demand, it could mean trouble for a grid already taxed by extreme weather and other unforeseen events.
If you think of the grid as a network of dozens of interconnected parts, once an element in the network fails — say, a tree downs a transmission line — the electricity that used to go through that line needs to be rerouted. This may overload other lines, creating what’s known as a cascade failure.
“This all happens really quickly and has very large downstream effects,” Liu says. “Millions of people will have instant blackouts.”
Even if the system can handle a single downed line, Liu notes that “the nuance is that there are now a lot of renewables, and renewables are less predictable. You can’t predict a gap in wind or sun. When such things happen, there’s suddenly not enough generation and too much demand. So the same kind of failure would happen, but on a larger and more uncontrollable scale.”
Renewables’ varying output has the added complication of causing voltage fluctuations. “We plug in our devices expecting a voltage of 110, but because of oscillations, you will never get exactly 110,” Liu says. “So even when you can deliver enough electricity, if you can’t deliver it at the specific voltage level that is required, that’s a problem.”
Liu and Ilić are building a model to predict how and when the grid might fail. Lacking access to privatized data, Liu runs her models with European industry data and test cases made available to universities. “I have a fake power grid that I run my experiments on,” she says. “You can take the same tool and run it on the real power grid.”
Liu’s model predicts cascade failures as they evolve. Supply from a wind generator, for example, might drop precipitously over the course of an hour. The model analyzes which substations and which households will be affected. “After we know we need to do something, this prediction tool can enable system operators to strategically intervene ahead of time,” Liu says.
Dictating price and power
Last year, Liu turned her attention to EVs, which provide a different kind of challenge than renewables.
In 2022, S&P Global reported that lawmakers argued that the U.S. Federal Energy Regulatory Commission’s (FERC) wholesale power rate structure was unfair for EV charging station operators.
In addition to operators paying by the kilowatt-hour, some also pay more for electricity during peak demand hours. Only a few EVs charging up during those hours could result in higher costs for the operator even if their overall energy use is low.
Anticipating how much power EVs will need is more complex than predicting energy needed for, say, heating and cooling. Unlike buildings, EVs move around, making it difficult to predict energy consumption at any given time. “If users don’t like the price at one charging station or how long the line is, they’ll go somewhere else,” Liu says. “Where to allocate EV chargers is a problem that a lot of people are dealing with right now.”
One approach would be for FERC to dictate to EV users when and where to charge and what price they’ll pay. To Liu, this isn’t an attractive option. “No one likes to be told what to do,” she says.
Liu is looking at optimizing a market-based solution that would be acceptable to top-level energy producers — wind and solar farms and nuclear plants — all the way down to the municipal aggregators that secure electricity at competitive rates and oversee distribution to the consumer.
Analyzing the location, movement, and behavior patterns of all the EVs driven daily in Boston and other major energy hubs, she notes, could help demand aggregators determine where to place EV chargers and how much to charge consumers, akin to Walmart deciding how much to mark up wholesale eggs in different markets.
Last year, Liu presented the work at MITEI’s annual research conference. This spring, Liu and Ilić are submitting a paper on the market optimization analysis to a journal of the Institute of Electrical and Electronics Engineers.
Liu has come to terms with her early introduction to attitudes toward STEM that struck her as markedly different from those in China. She says, “I think the (prep) school had a very strong ‘math is for nerds’ vibe, especially for girls. There was a ‘why are you giving yourself more work?’ kind of mentality. But over time, I just learned to disregard that.”
After graduation, Liu, the only undergraduate researcher in Ilić’s MIT Electric Energy Systems Group, plans to apply to fellowships and graduate programs in EECS, applied math, and operations research.
Based on her analysis, Liu says that the market could effectively determine the price and availability of charging stations. Offering incentives for EV owners to charge during the day instead of at night when demand is high could help avoid grid overload and prevent extra costs to operators. “People would still retain the ability to go to a different charging station if they chose to,” she says. “I’m arguing that this works.”
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selkies-song · 1 year ago
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Solved a REALLY interesting car case today (albeit with a lot of help) and I'm on cloud 9. This is why I'm doing what I'm doing.
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azfitment · 11 months ago
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Leverage the PCDB Viewer to ensure your customers find the correct terms for every part you sell, minimizing confusion and enhancing purchase decisions.
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arcadian-vampire · 2 years ago
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Why does Facebook keep sending me notifications of cars listed on the Marketplace. Buddy I have $10 and no drivers license, what do you expect me to do here
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wowrpgamer · 11 months ago
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I can confirm that the trip information contains start and end points, route, speeds, braking and acceleration, and duration. The resellers "blur" the start and end points but leave any real scrubbing to the purchasers.
I can see all the wonderful things this kind of information can give to traffic management, semi-automated driving, emergency services, and even car manufacturing. But the potential abuse and downright DANGER of it can't be emphasized enough.
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Used Cars for Sale in India | Droom Cloud Vehicle Data Services
Explore the used car market in India with Droom's advanced vehicle data platform. Find second hand cars, used cars near you, and connect with trusted used car dealers. Learn how Droom powers corporate vehicle sourcing, resale networks, and the complete used car ecosystem.
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bitstream24 · 18 days ago
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Implementing Vehicle Telematics with Raspberry Pi and PiCAN FD HAT
Build a fleet tracking solution with Raspberry Pi and PiCAN FD. Learn how to collect GPS and CAN bus data, transmit it via cellular networks, and integrate with the cloud for real-time logistics insights.
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