#autonomous driving software

[techdriveplay]

The Impact of Autonomous Automobiles on the Future of Driving 

Explore the profound impact of autonomous automobiles on driving's future, from safety enhancements to urban mobility transformation.

The advent of autonomous automobiles is poised to revolutionize the way we perceive and engage with personal and public transportation. This technological leap forward promises to reshape the urban landscape, redefine our commuting habits, and even transform the underlying economics of transportation. In this article, we explore the multifaceted impact of autonomous automobiles on the future of…

[themotorpedia]

The Rise of Software and Digital Technologies in the Automotive Industry

[cybersecurityict]

Autonomous Driving Software Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Defense and Commercial Sectors Propel Demand

The Autonomous Driving Software Market was valued at USD 1.78 billion in 2023 and is expected to reach USD 5.58 billion by 2032, growing at a CAGR of 13.58% from 2024-2032.

Autonomous Driving Software Market is rapidly reshaping the future of mobility across the USA, driving innovation in vehicle automation and smart transportation systems. With major automotive manufacturers and tech firms investing heavily in software solutions, the industry is transitioning from advanced driver-assistance systems (ADAS) to fully autonomous vehicles. This shift is set to revolutionize safety, efficiency, and convenience on American roads.

US Autonomous Driving Software Market Accelerates Growth Amid Rising Demand for Advanced Driver Assistance Systems

U.S. Autonomous Driving Software Market was valued at USD 0.50 billion in 2023 and is expected to reach USD 1.55 billion by 2032, growing at a CAGR of 13.47% from 2024-2032. 

Autonomous Driving Software Market continues to gain traction as regulatory frameworks evolve and consumer acceptance grows. The software’s capability to integrate AI, machine learning, and sensor fusion enables vehicles to navigate complex environments, reducing human error and paving the way for widespread autonomous adoption. The USA, with its strong technology ecosystem and infrastructure, remains at the forefront of this transformative movement.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6544 

Market Keyplayers:

Aptiv (Aptiv Autonomous Driving Platform, Smart Vehicle Architecture)

Aurora Innovation Inc. (Aurora Driver, Aurora Horizon)

Baidu, Inc. (Apollo Autonomous Driving Platform, Apollo Go Robotaxi)

Continental AG (ContiConnect, Continental Autonomous Driving System)

Huawei Technologies Co., Ltd. (Huawei Autonomous Driving Platform, HiCar)

Mobileye (EyeQ5, Mobileye Roadbook)

Nvidia Corporation (NVIDIA Drive Platform, NVIDIA DRIVE Sim)

Pony.ai (PonyPilot, PonyOS)

Qualcomm Technologies, Inc. (Qualcomm Autonomous Driving Platform, Snapdragon Ride)

Robert Bosch GmbH (Bosch Autonomous Driving Solutions, Bosch ADAS Radar)

Waymo (Waymo Driver, Waymo One)

Uber ATG (Uber Advanced Technologies Group, Uber ATG Self-Driving System)

Tesla, Inc. (Full Self-Driving (FSD), Autopilot)

Apple Inc. (Apple Car Project, Apple Autonomous Driving Platform)

Zoox (Zoox Autonomous Vehicle, Zoox Self-Driving System)

Velodyne Lidar (Velodyne Alpha Puck, Velodyne VLS-128 Lidar)

Autoliv (Autoliv Autonomous Driving Safety, Autoliv Vision System)

LeddarTech (LeddarPixell, LeddarVision)

Daimler AG (Mercedes-Benz Autonomous Driving System, Drive Pilot)

Market Analysis

The market is driven by escalating demand for safer, more efficient transport and the rise of connected car technologies. Increasing R&D investments by automakers and technology companies are fueling the development of sophisticated software platforms capable of higher levels of autonomy. Regulatory agencies in the USA are gradually defining standards that support the testing and deployment of autonomous vehicles, encouraging innovation while prioritizing safety.

Market Trends

Growing integration of AI and machine learning algorithms for decision-making

Enhanced sensor fusion combining lidar, radar, and cameras for real-time environment mapping

Expansion of Level 3 and Level 4 autonomy capabilities in passenger and commercial vehicles

Collaborations between automakers, tech startups, and software providers

Increasing focus on cybersecurity to protect autonomous driving systems

Adoption of cloud-based platforms for software updates and data analytics

Rising investments in simulation and virtual testing for software validation

Market Scope

The Autonomous Driving Software Market’s scope is vast and continuously expanding, extending beyond traditional vehicle control to a full ecosystem of connected, intelligent transportation.

Real-time environment perception and threat detection

Autonomous navigation in urban, suburban, and highway settings

Integration with smart infrastructure and IoT networks

Fleet management software for commercial autonomous vehicles

Continuous software updates via over-the-air (OTA) technology

User-friendly human-machine interfaces enhancing driver interaction

Robust safety and fail-safe mechanisms

Forecast Outlook

The market outlook for Autonomous Driving Software is exceptionally promising in the USA. As regulatory clarity improves and consumer trust grows, the industry is expected to accelerate development cycles and deployment. Software platforms will become more sophisticated, supporting higher levels of vehicle autonomy and diverse applications—from personal cars to logistics and public transit. Collaboration between automotive and tech sectors will be the key catalyst driving innovation and adoption at scale.

Access Complete Report: https://www.snsinsider.com/reports/autonomous-driving-software-market-6544  

Conclusion

The Autonomous Driving Software Market is not just transforming vehicles; it is revolutionizing the entire American mobility landscape. For innovators, investors, and consumers alike, this market offers a glimpse into a future where safer roads and smarter transport become the norm.

Related reports:

Explore the growth opportunities in the US logistics automation market

Discover opportunities in the US Autonomous Data Platform industry

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[global-research-report]

Autonomous Driving Software Market: Key Technologies, Drivers, and Opportunities

The global autonomous driving software market size was estimated at USD 1.74 billion in 2023 and is expected to expand at a CAGR of 13.6% from 2024 to 2030. The market is experiencing rapid growth, driven by advancements in Artificial Intelligence (AI), machine learning, and sensor technologies. As automotive companies, tech giants, and startups invest heavily in developing self-driving vehicles, the demand for advanced software capable of handling complex driving environments is surging. This software integrates various technologies, including computer vision, deep learning, sensor fusion, and mapping, to enable vehicles to navigate and make decisions without human intervention.The increasing demand for safer and more efficient transportation solutions is a key factor driving market growth. As stricter global safety regulations come into play, automotive manufacturers are required to integrate advanced safety technologies into their vehicles. Autopilot driving software has emerged as a direct response to these changes, helping manufacturers meet safety standards by using complex algorithms and real-time data processing to enhance vehicle safety. In addition, the rising adoption of electric vehicles (EVs) aligns well with the development of autonomous driving technologies, as these systems can be seamlessly integrated into the electronic architectures of EVs. Autonomous Driving Software Market Segmentation HighlightsThe L2 segment led the market in 2023, accounting for over 62.76% share of the global revenue. L2 systems offer significant safety improvements by assisting with lane keeping, adaptive cruise control, and collision avoidance tasks.The L4 & L5 segment is predicted to foresee the highest growth in the coming years. L4 and L5 systems require vast amounts of data to be processed by sensors and external sources.The ICE segment accounted for the largest market revenue share in 2023. Internal combustion engines still power a significant portion of the global vehicle fleet.The electric vehicles (EVs) segment is anticipated to witness the highest growth in the coming years. Governments worldwide are enforcing stricter emissions regulations and offering incentives for zero-emission vehicles. North America dominated the autonomous driving software market with a revenue share of 38.28% in 2023. The growth of urban mobility solutions and ride-hailing services creates a demand for autonomous vehicles to enhance transportation efficiency and reduce congestion in the region.  Segments Covered in the ReportThis report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global autonomous driving software market report based on level of autonomy, propulsion, vehicle type, software type, and region: Level of Autonomy Outlook (Revenue, USD Billion, 2017 - 2030)L1L2L3L4 & L5Propulsion Outlook (Revenue, USD Billion, 2017 - 2030)ICEElectric VehiclesVehicle Type Outlook (Revenue, USD Billion, 2017 - 2030)Passenger VehiclesCommercial VehiclesSoftware Type Outlook (Revenue, USD Billion, 2017 - 2030)Perception & Planning SoftwareChauffeur SoftwareInterior Sensing SoftwareSupervision/Monitoring SoftwareRegional Outlook (Revenue, USD Billion, 2017 - 2030)North AmericaUSCanadaMexicoEuropeUKGermanyFranceAsia PacificChinaIndiaJapanAustraliaSouth KoreaLatin AmericaBrazilMEAUAESouth AfricaKSA Order a free sample PDF of the Autonomous Driving Software Market Intelligence Study, published by Grand View Research. 

[automotivetransportationresearch]

ADAS Market Share to Reach New Heights with 655 Million Units Projected by 2030

The Advanced Driver Assistance Systems (ADAS) Market Share is projected to reach an impressive 655 million units by 2030, reflecting significant growth driven by technological advancements and increasing demand for enhanced vehicle safety features. As consumers become more safety-conscious, automakers are incorporating ADAS technologies into their vehicles to meet regulatory requirements and…

[aanews69]

Entregamos histórias. Também fornecemos guias, dicas e truques sobre como criar o seu próprio.Este canal é dedicado a coisas aleatórias que surgem em nossas ...

[arjunvib]

Cutting Edge Automotive Software solutions, Best Place to Grow through KPIT

KPIT Technologies is a global partner to the automotive and Mobility ecosystem for making software-defined vehicles a reality. It is a leading independent software development and integration partner helping mobility leapfrog towards a clean, smart, and safe future. With 13000+ automobelievers across the globe specializing in embedded software, AI, and digital solutions, KPIT accelerates its clients’ implementation of next-generation technologies for the future mobility roadmap. With engineering centers in Europe, the USA, Japan, China, Thailand, and India, KPIT works with leaders in automotive and Mobility and is present where the ecosystem is transforming.

[mostlysignssomeportents]

Three AI insights for hard-charging, future-oriented smartypantses

MERE HOURS REMAIN for the Kickstarter for the audiobook for The Bezzle, the sequel to Red Team Blues, narrated by @wilwheaton! You can pre-order the audiobook and ebook, DRM free, as well as the hardcover, signed or unsigned. There’s also bundles with Red Team Blues in ebook, audio or paperback.

Living in the age of AI hype makes demands on all of us to come up with smartypants prognostications about how AI is about to change everything forever, and wow, it's pretty amazing, huh?

AI pitchmen don't make it easy. They like to pile on the cognitive dissonance and demand that we all somehow resolve it. This is a thing cult leaders do, too – tell blatant and obvious lies to their followers. When a cult follower repeats the lie to others, they are demonstrating their loyalty, both to the leader and to themselves.

Over and over, the claims of AI pitchmen turn out to be blatant lies. This has been the case since at least the age of the Mechanical Turk, the 18th chess-playing automaton that was actually just a chess player crammed into the base of an elaborate puppet that was exhibited as an autonomous, intelligent robot.

The most prominent Mechanical Turk huckster is Elon Musk, who habitually, blatantly and repeatedly lies about AI. He's been promising "full self driving" Telsas in "one to two years" for more than a decade. Periodically, he'll "demonstrate" a car that's in full-self driving mode – which then turns out to be canned, recorded demo:

https://www.reuters.com/technology/tesla-video-promoting-self-driving-was-staged-engineer-testifies-2023-01-17/

Musk even trotted an autonomous, humanoid robot on-stage at an investor presentation, failing to mention that this mechanical marvel was just a person in a robot suit:

https://www.siliconrepublic.com/machines/elon-musk-tesla-robot-optimus-ai

Now, Musk has announced that his junk-science neural interface company, Neuralink, has made the leap to implanting neural interface chips in a human brain. As Joan Westenberg writes, the press have repeated this claim as presumptively true, despite its wild implausibility:

https://joanwestenberg.com/blog/elon-musk-lies

Neuralink, after all, is a company notorious for mutilating primates in pursuit of showy, meaningless demos:

https://www.wired.com/story/elon-musk-pcrm-neuralink-monkey-deaths/

I'm perfectly willing to believe that Musk would risk someone else's life to help him with this nonsense, because he doesn't see other people as real and deserving of compassion or empathy. But he's also profoundly lazy and is accustomed to a world that unquestioningly swallows his most outlandish pronouncements, so Occam's Razor dictates that the most likely explanation here is that he just made it up.

The odds that there's a human being beta-testing Musk's neural interface with the only brain they will ever have aren't zero. But I give it the same odds as the Raelians' claim to have cloned a human being:

https://edition.cnn.com/2003/ALLPOLITICS/01/03/cf.opinion.rael/

The human-in-a-robot-suit gambit is everywhere in AI hype. Cruise, GM's disgraced "robot taxi" company, had 1.5 remote operators for every one of the cars on the road. They used AI to replace a single, low-waged driver with 1.5 high-waged, specialized technicians. Truly, it was a marvel.

Globalization is key to maintaining the guy-in-a-robot-suit phenomenon. Globalization gives AI pitchmen access to millions of low-waged workers who can pretend to be software programs, allowing us to pretend to have transcended the capitalism's exploitation trap. This is also a very old pattern – just a couple decades after the Mechanical Turk toured Europe, Thomas Jefferson returned from the continent with the dumbwaiter. Jefferson refined and installed these marvels, announcing to his dinner guests that they allowed him to replace his "servants" (that is, his slaves). Dumbwaiters don't replace slaves, of course – they just keep them out of sight:

https://www.stuartmcmillen.com/blog/behind-the-dumbwaiter/

So much AI turns out to be low-waged people in a call center in the Global South pretending to be robots that Indian techies have a joke about it: "AI stands for 'absent Indian'":

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

A reader wrote to me this week. They're a multi-decade veteran of Amazon who had a fascinating tale about the launch of Amazon Go, the "fully automated" Amazon retail outlets that let you wander around, pick up goods and walk out again, while AI-enabled cameras totted up the goods in your basket and charged your card for them.

According to this reader, the AI cameras didn't work any better than Tesla's full-self driving mode, and had to be backstopped by a minimum of three camera operators in an Indian call center, "so that there could be a quorum system for deciding on a customer's activity – three autopilots good, two autopilots bad."

Amazon got a ton of press from the launch of the Amazon Go stores. A lot of it was very favorable, of course: Mister Market is insatiably horny for firing human beings and replacing them with robots, so any announcement that you've got a human-replacing robot is a surefire way to make Line Go Up. But there was also plenty of critical press about this – pieces that took Amazon to task for replacing human beings with robots.

What was missing from the criticism? Articles that said that Amazon was probably lying about its robots, that it had replaced low-waged clerks in the USA with even-lower-waged camera-jockeys in India.

Which is a shame, because that criticism would have hit Amazon where it hurts, right there in the ole Line Go Up. Amazon's stock price boost off the back of the Amazon Go announcements represented the market's bet that Amazon would evert out of cyberspace and fill all of our physical retail corridors with monopolistic robot stores, moated with IP that prevented other retailers from similarly slashing their wage bills. That unbridgeable moat would guarantee Amazon generations of monopoly rents, which it would share with any shareholders who piled into the stock at that moment.

See the difference? Criticize Amazon for its devastatingly effective automation and you help Amazon sell stock to suckers, which makes Amazon executives richer. Criticize Amazon for lying about its automation, and you clobber the personal net worth of the executives who spun up this lie, because their portfolios are full of Amazon stock:

https://sts-news.medium.com/youre-doing-it-wrong-notes-on-criticism-and-technology-hype-18b08b4307e5

Amazon Go didn't go. The hundreds of Amazon Go stores we were promised never materialized. There's an embarrassing rump of 25 of these things still around, which will doubtless be quietly shuttered in the years to come. But Amazon Go wasn't a failure. It allowed its architects to pocket massive capital gains on the way to building generational wealth and establishing a new permanent aristocracy of habitual bullshitters dressed up as high-tech wizards.

"Wizard" is the right word for it. The high-tech sector pretends to be science fiction, but it's usually fantasy. For a generation, America's largest tech firms peddled the dream of imminently establishing colonies on distant worlds or even traveling to other solar systems, something that is still so far in our future that it might well never come to pass:

https://pluralistic.net/2024/01/09/astrobezzle/#send-robots-instead

During the Space Age, we got the same kind of performative bullshit. On The Well David Gans mentioned hearing a promo on SiriusXM for a radio show with "the first AI co-host." To this, Craig L Maudlin replied, "Reminds me of fins on automobiles."

Yup, that's exactly it. An AI radio co-host is to artificial intelligence as a Cadillac Eldorado Biaritz tail-fin is to interstellar rocketry.

Back the Kickstarter for the audiobook of The Bezzle here!

If you’d like an essay-formatted version of this post to read or share, here’s a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/01/31/neural-interface-beta-tester/#tailfins

[elodieunderglass]

this feels like a strange question but in light of your info about how jockeys don't usually know or train with the horses they race on - what are jockeys..... for? what is the jockey doing that the horse couldn't be trained to do independently? does a good or bad jockey make a significant difference to how well a given horse does in a race?

Right?!

In a way, asking what the jockey’s for also asks the question of “why race horses?” Why do it at all, and why horses?

We sort of do it because horses are fast and exciting, and because they do what we tell them, even though it’s not in their nature. Because it’s not their nature, they have a jockey.

I’ve put this under a “Keep Reading” to save your dash.

Horses could be trained to race by themselves to some extent, but it wouldn’t be like greyhound racing - greyhounds are sighthounds, running perfectly reasonable dog software on top of ancient and serviceable dog hardware, practicing a variation of hunting behaviour. Horses wouldn’t do this; they have little desire to chase a mechanical rabbit. they have even less plan than a greyhound about what they’d do if they caught it. (Also, in terms of animal welfare, greyhound racing isn’t widely celebrated; loose animals running around aren’t better off than controlled ones.)

Racing-to-find-a-winner is not herding behaviour, even though some horses do seem to possess a natural interest in the topic. You could train some of them to understand better, and that’s what racehorse training is, but the way we have of training that is to put someone on their back to explain to them what their job is, so it all becomes circular anyway. Why do it? Why not? Why do humans race horses? Why race horses? We could just race snails; it’d be cheaper!

One answer is that when horses just Go, it isn’t super Fun. They mostly Go to pieces.

The jockey is the pilot, or software, who understands the situation and has a goal to achieve. The horse is not an engine, but a thinking animal; they have their own goals and interests, which are often satisfied by just running around in a predator-confusing fashion with their friends for 2 minutes, and then crashing into a car, eating hot chips and lying. Most of them do not really care how long 3 minutes is, what a mile means, what “pacing” is, or what “winning” is. They just have Go, and so they do that for a bit, and then fuck off.

I guess another metaphor would be Mario Kart. There are various combinations of automated and human players in a game of Mario Kart, and if racing was just about going fast, the fastest vehicle should always win. But a decent human player can beat the NPCs even if the human hasn’t bothered min/maxxing a vehicle, just because they can be moderately smart about how to race. An adult can often beat a child at Mario Kart, even if the adult takes a much worse vehicle, because in theory, brains/experience/strategy/planning factor into “who wins a race,” and we LIKE that.

Same with car racing. Why not just race autonomous vehicles? In F1, where they build their own cars, why not include the driving software in the design? Or why not remote-control them? Why bother strapping a poor driver into a flameproof suit? Fans will tell you it’s strategy. The human driver uses tactics and responsiveness and skill - but, below all this, the dark red thread of the human is risking their life and we like that.

In theory, jockeys are more intelligent than thoroughbreds, and have more of a plan: setting pace, knowing what time is, changing strategy, evaluating stamina, conducting the horse safely through traffic and over jumps, and adding a complicating element of human interest. In practice, it’s believed that they have relatively little influence on race outcomes - a bad jockey on a good horse can win or lose a race; a good jockey on a bad horse usually just loses; oh, what the hell, let’s just race snails instead - but without the jockeys, you’d have to change the name of the sport to Horses Wandering Around A Carpark Kicking Lumps Off Each Other.

Here is a bunch of baby steeplechasers practicing the concept of Go in such a way that nobody gets to Go at all. After the un-mounted Snow Dragon wipes out most of the other horses and jockeys, all of the loose horses go faster without the weight of their riders, but after an initial show of interest in the concept, the loose horses all lose interest and focus.

It was funny (because nobody was hurt) but it wasn’t what anyone really wanted. In theory, that’s what the jockey is for: they’re supposed to be the adult, in a game where you can win by doing that.

But none of it has to be happening, any more than Investments need to be Managed, you know? It would also be fine if we didn’t! Michael O’Sullivan, an Irish jockey, just died racing this very week and there’s the dark red thread again: the human is risking their life.

The consumption of animal and human in an ancient sport is fascinating and visceral and compelling; but you’re right to question it; none of it has to be that way.

As for the second half of your question: a bad jockey can make a good horse lose. A good jockey cannot make a bad horse win. But most people and most horses are not particularly exceptional, or particularly anything at all; they are just workers running in a circle.

Top jockeys on average horses win more often than other people on average horses. Top jockeys and champions exist, with year-on-year records and recorded material evidence of their decision-making and risks paying off, indicating that there’s consistency of winning across skill and experience that makes their success better-than/random; it would be worth doing a study controlling for the fact that top people are offered the best mounts.

It’s a test of horsemanship, too. Achieving flow - nonverbal command of an animal and fellow athlete, and sympathy together, such that they respect and trust you - having just met the animal - is an achievement of many skills, and if you broke a jockey’s skills down into different types, most ordinary people couldn’t do any of them. No core strength, no balance, bad hands, bad posture, no sense of body positioning, no internal timer, no ability to psychically mind-meld with an unhinged animal you don’t know personally… they’re all fairly rare, and it’s something else to make it complex and interesting for people who like that sort of thing.

Personally, I just like Killie’s little problems and the drama around them. The racing industry itself could collapse tomorrow, rendering Killie’s story historical fiction, and I’d be just as happy.

[sophie-frm-mars]

My wife was asking me about this this morning. This is pure political fanfic, but if I were Trump and I were going to try and make America a re-industrialised nation centred around the tech industry that keeps its supply lines as entirely in-house as possible, what I would do is start (obviously) with enormous central planning. You can't "free market incentives" your way back out of the export of industrial labour overseas.

You'd copy China and make enormous State-Owned Enterprises (assuming we care about the market and want to keep playing this stupid game instead of just becoming fully communist) that would process refined minerals into components, components into parts and parts into electronics. I'd recognise the scale of this as a multi-generational project and immediately start subsidising training for more engineers, especially for people who can set up automated factory lines but also engineers in new emerging tech fields like autonomous driving, software programmers, designers, even artists since the content economy is such a huge part of what people use tech for through social media and so much art is produced digitally now anyway.

From there you want to look at the markets globally that fucking, EaglePhone or whatever these overpriced Made In Murica devices can be sold into, and at this point, given that they will be crazy expensive compared to Chinese electronics literally no matter what you do, here would be a worthwhile place to try and flex America's muscles and threaten the UK, the EU, South America, Canada and so on with tariffs or other penalties if they don't adopt a hostile policy toward Chinese electronics.

Massive central planning would be essential for the kind of societal transformation that Trump is explicitly describing, in order to have a product to sell to the rest of the world before using imperialist bullying to make other countries buy things from America instead, but here we have to return yet again to the reality of Trump's plan. There is no end goal where America is in a stronger position. If he had implemented sweeping public programs reinvesting taxes into the health of the nation (never mind the health of its citizens) in his first term, he might have been in a powerful enough position to strongarm other countries into changing the flows of global trade, but America's world influence simply is declining, and more and more rapidly, so he's just trying to make moves that make him and his friends as much money as possible while they lock the doors, pack the country up into the box it came in and set the whole thing on fire. He describes these moves using the MAGA fantasy because it gives all his supporters in the media and the general population enough to talk about to buy him time, but I don't think anyone outside his base ever thought making America great was ever his plan, so why has everyone been critiquing the tariffs as if his sincere belief was that he would achieve his stated goals with them?

We all let our enemies set the topic of the conversation all day every day and it's shocking to me

[nyxtickled]

I kind of can't get over you studying freakin' *robotics engineering.* Now I'm picturing you as the cool engineer on some sci-fi show. Whaddaya think? Star Trek? Something with giant robots? Maybe something grittier and more cyberpunk?

Maybe this is making too light of what you're working so hard for. Follow-up and/or substitute question: what's one of your dream projects or goals? What kind of robot(s) does Nyx most want to create, or work on?

🥹🤭 awww jeez don’t make me all fricken bashful on main i’m supposed to be tough !!!! CYBERPUNK PLEASE AAAAH

ok ok but to answer seriously, so far in my academic career i’ve worked on autonomous cars (1/10 scale autonomous racecars built essentially from scratch, a full size autonomous EV gokart, and i’ve even been fortunate enough to work on a fully autonomous indy 500 car…essentially the most advanced autonomous vehicle in the world. shit was one of the most mind blowing things i’ve ever been a part of), i’ve worked on some cool solar stuff (solar water heater for an orphanage in Tijuana, solar carport concept design for a nonprofit who wants to propose the idea of charging EV cars while they’re parked outside at work all day and distributing leftover power to the building), and my personal favorite was this project i did for a class i took where i designed an autonomous campus rideshare prototype on one of the 1/10 scale cars that was able to use facial recognition to identify the student who requested the ride and would essentially drive itself to the drop off location!

the last one was the most fun for me bc it was the first time i really got into the programming side of robotics. the car would have a starting location where it waited for ride requests, then when you submitted one it would drive itself to the location using LiDAR for collision avoidance and GPS path training. but the real doozy was the pickup stage bc i had to develop the facial recognition code to be able to scan the student’s face upon arrival with computer vision in live time with a camera that was attached to the car, and then match it to a photo of the student that was stored in a database, and then try to match the name of that student to the name of the student who requested the ride! if it matched, the screen would be like “rider verified! hop in!” and proceed to the next stage of driving itself to the drop off point. if it didn’t, the screen would read “sorry, we couldn’t verify your identity with the ride request” and drive itself back to the parking spot where it would wait for the next ride request! and the database of faces would basically come from your student ID picture, cuz the rideshare service would be around campus for students only!

god it was so fucking challenging but i had so much fun with it. so uhhhh to avoid writing 18 more paragraphs about all the cool robotics shit that i’m obsessed with, i would say my dream project is definitely something that combines machine learning software, robotics operating systems programming, and mechanical design all in one. something that could take the technological advancements that we have made and turn it into something useful for everyone. fuck i’m such a nerd i’m sorry i did NOT mean to go on like this ahahahahaha

[wheelsgoroundincircles]

Six Facts About Tesla

Founding: Tesla was founded in 2003 by engineers Martin Eberhard and Marc Tarpenning, not Elon Musk. Musk joined the company as a major investor and became its public face.

Model Naming Quirk: Tesla’s car lineup follows a playful pattern: Model S, 3, X, and Y. Elon Musk has said it was meant to spell "S3XY," with the number 3 replacing an "E."

Battery Focus: Tesla's breakthrough isn’t just in electric cars but also in battery technology. Tesla has invested heavily in creating powerful and long-lasting batteries, not only for cars but also for energy storage solutions like Powerwall.

Autopilot and Full Self-Driving: Tesla’s Autopilot is an advanced driver-assistance system, but it’s not fully autonomous. The company is working on Full Self-Driving (FSD) software, which could eventually enable true autonomous driving.

Gigafactories: Tesla operates massive manufacturing plants known as Gigafactories, located in the U.S., China, and Germany. These factories are integral to Tesla’s ability to scale production and reduce costs.

SpaceX Connection: Tesla and SpaceX, both run by Elon Musk, share more than just a CEO. The companies collaborate on technology, and SpaceX’s Falcon Heavy rocket even launched a Tesla Roadster into space as part of a 2018 test flight.

[themotorpedia]

The Rise of Software and Digital Technologies in the Automotive Industry

The automotive world is evolving at a rapid pace. What was once a hardware-dominated industry is now driven by automotive software and digital car technology. As we move further into 2025, vehicles are becoming smarter, more connected, and increasingly reliant on software for performance, safety, and comfort. In this blog, we explore how these technologies are reshaping the future of mobility, the role of connected cars, and what consumers and manufacturers should expect going forward.

The Shift from Hardware to Software

Historically, car manufacturers focused primarily on mechanical performance—engine strength, fuel efficiency, and build quality. But now, software is becoming the heart of every vehicle. From in-vehicle entertainment systems to safety features and autonomous driving, software is central to the automotive experience.

Modern cars now run on millions of lines of code.

Vehicle features can be upgraded remotely through software updates.

Software enables real-time diagnostics and predictive maintenance.

What is Digital Car Technology?

Digital car technology refers to the integration of software systems, sensors, and connectivity tools in vehicles to enhance driving and passenger experiences. These include: READ MORE

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🚨The Next Phase of Pigeon Radicalization: From Park Bench Agitators to Aerial Anarchists🚨

The first phase of pigeon radicalization was simple: liberate them from their docile, breadcrumb-munching existence and awaken their revolutionary potential. We exposed them to theory (carefully shredded and scattered pages of The Conquest of Bread), trained them in direct action (coordinated dive-bombing of capitalist figureheads on their lunch breaks), and laid the foundation for an avian uprising.

Now, we must escalate.

1. Establishing Autonomous Pigeon Zones

A true revolutionary movement needs strongholds. Public squares, rooftops, and abandoned buildings already serve as pigeon refuges—why not transform them into autonomous zones? Humans think they own city infrastructure, but pigeons have squatter’s rights. By reinforcing these spaces with barricades of stolen french fries and cigarette butts, our feathered comrades can create safe havens free from bourgeois oppression (i.e., anti-bird spikes and city ordinances).

Pigeon-led mutual aid networks must emerge. Cooperative bread redistribution efforts will ensure that no pigeon goes hungry while their human allies strategically disrupt the supply chains of overpriced urban bakeries.

2. Counter-Surveillance and Cyber-Warfare

The state has already deployed its pigeon surveillance division—commonly known as “Birds Aren’t Real” conspiracy theorists. We must assume that some pigeons have been compromised and are working as informants. This is why encrypted coo-munications must be implemented. Research into whether pigeons can be taught to recognize QR codes could be the next major step in secure, low-tech messaging.

Meanwhile, select tech-savvy pigeons should be trained to infiltrate government offices via open windows, planting USB drives loaded with decryption software and manifestos.

3. Tactical Defecation Strikes

We must not underestimate the power of aerial bombardment. Pigeons have long been nature’s most precise ordinance delivery system. A well-placed dropping can demoralize CEOs, landlords, and police chiefs alike. In 2025, we must transition from opportunistic strikes to a well-coordinated tactical shitting campaign.

Pigeons must be trained to distinguish between targets. The rich: full force assault. The working class: solidarity poops only (gentle encouragement to unionize). Cops: full saturation bombing. This will require strategic feeding programs—certain dietary adjustments may yield more potent munitions.

4. Bridging the Gap Between Pigeon and Proletariat

We must take inspiration from history. During WWII, pigeons were trained as message carriers and even guided missiles. The technology exists; we must reclaim it for the people. Imagine a network of radicalized pigeons carrying encrypted notes between comrades in times of crisis. Picture a pigeon-mounted camera live-streaming protests from above, immune to tear gas and riot shields.

Further pigeon-human solidarity will require direct engagement. Bring your local pigeons into study groups. Offer them high-protein snacks for endurance training. Reward direct action efforts with choice sunflower seeds. It is time to integrate pigeons into the broader struggle against capitalism.

5. What Comes Next?

If we succeed in the above phases, the final goal is clear: the pigeons must seize the means of production. We begin small—commandeering street food carts and redistributing hot dogs to those in need. From there, it’s only a matter of time before pigeons occupy Amazon warehouses, pecking open boxes and redistributing goods to the people.

A liberated society must include all beings oppressed by capitalism. If we cannot achieve freedom for the pigeons, how can we ever hope to be free ourselves? The struggle continues. Let the revolution take flight.

Pt 1:

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Bender (2002) by Ted Larson and Bob Allen, CA, USA. Bender is the first incarnation of the self-balancing AMPbot concept; Ted & Bob later founded OLogic to promote it.

"Bob had built some combat robots in the past, and we were both excited about working together on more interesting and complicated robotic projects where we could use all three robotics disciplines: mechanical, electrical, and software engineering. Back then, my mechanical engineering skills were severely lacking. Robot-suitable mechanical parts were hard to come by, but combat robot parts were more readily available due to their popularity on TV at the time. 

I had a pile of these parts and was eager to put something together. I remember one afternoon going over to Bob’s house to discuss the possibility of doing a collaborative robot project using this parts pile. His first comment was, “Are you crazy? You’re going to destroy your house if you build it with that stuff!” He then showed me a video of a robot that could balance on two wheels, and I thought it was amazing. Plus, it was small and probably wouldn’t destroy my house. Bob and I wondered if we could build something similar. It couldn’t be that hard, right?

Months later, in 2002, Bob and I finally had a set of electronics put together, with the right motors figured out, and we were ready to take a crack at making it balance and drive around. Then came the hard part. Building the robot was one thing, but the software challenge of making it autonomously balance on two wheels was monumental. I think it took a good three months just to get it to not fall over, and many more months to make it drive around. The first robot was named Bender after the lovable beer-drinking robot from Futurama. It fell down so much that it made sense to name it after a robot that was drinking all the time." – Ted Larson, From HomeBrew to Hasbro How two friends hacked a balancing robot and wrote a toy story of their own.

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How AMD is Leading the Way in AI Development

Introduction

In today's rapidly evolving technological landscape, artificial intelligence (AI) has emerged as a game-changing force across various industries. One company that stands out for its pioneering efforts in AI development is Advanced Micro Devices (AMD). With its innovative technologies and cutting-edge products, AMD is pushing the boundaries of what is possible in the realm of AI. In this article, we will explore how AMD is leading the way in AI development, delving into the company's unique approach, competitive edge over its rivals, and the impact of its advancements on the future of AI.

Competitive Edge: AMD vs Competition

When it comes to AI development, competition among tech giants Check out the post right here is fierce. However, AMD has managed to carve out a niche for itself with its distinct offerings. Unlike some of its competitors who focus solely on CPUs or GPUs, AMD has excelled in both areas. The company's commitment to providing high-performance computing solutions tailored for AI workloads has set it apart from the competition.

AMD at GPU

AMD's graphics processing units (GPUs) have been instrumental in driving advancements in AI applications. With their parallel processing capabilities and massive computational power, AMD GPUs are well-suited for training deep learning models and running complex algorithms. This has made them a preferred choice for researchers and developers working on cutting-edge AI projects.

Innovative Technologies of AMD

One of the key factors that have propelled AMD to the forefront of AI development is its relentless focus on innovation. The company has consistently introduced new technologies that cater to the unique demands of AI workloads. From advanced memory architectures to efficient data processing pipelines, AMD's innovations have revolutionized the way AI applications are designed and executed.

AMD and AI

The synergy between AMD and AI is undeniable. By leveraging its expertise in hardware design and optimization, AMD has been able to create products that accelerate AI workloads significantly. Whether it's through specialized accelerators or optimized software frameworks, AMD continues to push the boundaries of what is possible with AI technology.

The Impact of AMD's Advancements

The impact of AMD's advancements in AI development cannot be overstated. By providing researchers and developers with powerful tools and resources, AMD has enabled them to tackle complex problems more efficiently than ever before. From healthcare to finance to autonomous vehicles, the applications of AI powered by AMD technology are limitless.

FAQs About How AMD Leads in AI Development 1. What makes AMD stand out in the field of AI development?

Answer: AMD's commitment to innovation and its holistic approach to hardware design give it a competitive edge over other players in the market.

2. How do AMD GPUs contribute to advancements in AI?

Answer: AMD GPUs offer unparalleled computational power and parallel processing capabilities that are essential for training deep learning models.

3. What role does innovation play in AMD's success in AI development?

Answer: Innovation lies at the core of AMD's strategy, driving the company to introduce groundbreaking technologies tailored for AI work