#Computational Power

[whats-in-a-sentence]

Whether or not you actually follow its moment-to-moment development, according to classical physics you can talk about the past and future, in principle, with a confidence that is controlled by the detail and the accuracy of your observations of the present.¹

1. It is well known that the equations of classical physics cannot be solved exactly if you are studying the motion of three or more mutually interacting bodies. So, even in classical physics, any actual prediction about the motion of a large set of particles will necessarily be approximate. The point, though, is that there is no fundamental limit to how good this approximation can be. If the world were governed by classical physics, then with ever more powerful computers, and ever more precise initial data about positions and velocities, we would get ever closer to the exact answer.

"The Fabric of the Cosmos" - Brian Greene

[techdriveplay]

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…

[thedoubteriswise]

nothing funnier to me than when AI does math wrong. like I get why it happens, it's a language model that's treating the numbers you feed it as words rather than integers and then giving you an answer based on how those words typically appear in a block of text instead of actually performing a calculation. but the one thing computers are genuinely incredible at. you fucked up a perfectly good calculator is what you did, look at it it's got hallucinations

[spokenforinvaliduser]

using an unusable macbook while the sheeple play 3-dimensional touchscreen shape games on their touchscreen iphone

[neosciencehub]

Google Unveils Quantum Computing Chip ‘Willow’

Google Unveils Quantum Computing Chip ‘Willow’ @neosciencehub #Willow #QuantumComputing #neosciencehub #GooglesQuantumAIteam, #physics

A Game Changer in Computational Power and Parallel Worlds Hypothesis In an important announcement that promises to redefine the boundaries of computing, Google unveiled its latest quantum computing chip, dubbed ‘Willow,’ during a press event led by CEO Sundar Pichai. According to Google’s Quantum AI team, Willow is not only capable of performing calculations previously deemed unattainable but…

[wickedzeevyln]

Am I Real?

”Am I real?” By the time I came to, the seconds on the clock had already counted me out. Those three words hit me as if I were a sandbag inviting Bruce Lee’s iron fist to a kick-butt buffet when they were uttered in a song back when FM radio was a thing. My mind went, “Huh—what do you mean am I real? Of course I am, or am I ? Right?” That was bad, my mind was stuttering like Porky. I could…

[prototechsolutionsblog]

Revolutionizing Product Development: Harnessing AI-Driven CAD Simulation in 2024

In the ever-evolving landscape of product development, innovation reigns supreme. As we navigate through the complexities of design, prototyping, and manufacturing, one technology stands out as a game-changer: AI-driven Computer-Aided Design (CAD) simulation. In 2024, this revolutionary approach is transforming how we conceive, refine, and produce products, optimizing efficiency, reducing costs, and pushing the boundaries of what's possible.

The Evolution of CAD Simulation

CAD simulation has long been a cornerstone of product development, allowing engineers and designers to test concepts virtually before investing time and resources into physical prototypes. However, traditional simulation methods often fall short in accurately predicting real-world behavior due to simplifications and assumptions inherent in their algorithms.

Enter Artificial Intelligence (AI). With advancements in machine learning and computational power, AI-driven CAD simulation has emerged as a disruptive force, enabling engineers to simulate complex scenarios with unprecedented accuracy and efficiency. By learning from vast datasets and iteratively improving models, AI empowers simulations to mimic real-world conditions with remarkable fidelity.

The Power of AI in CAD Simulation

At the heart of AI-driven CAD simulation lies its ability to adapt and evolve. Unlike static simulation models, AI algorithms continuously refine themselves, learning from each iteration to deliver more accurate results. This adaptive approach not only enhances predictive capabilities but also reduces the need for manual intervention, accelerating the design iteration cycle.

Moreover, AI-driven CAD simulation excels in handling complexity. Whether it's simulating fluid dynamics in aerodynamic designs, predicting structural integrity under varying loads, or optimizing thermal management in electronic devices, AI algorithms can tackle multifaceted problems with ease. By simulating intricate interactions between components and subsystems, engineers can uncover insights that would be impossible to glean through traditional methods.

Streamlining Design Iterations

In traditional product development workflows, iterating on design iterations can be a time-consuming and resource-intensive process. Each iteration requires modifications to CAD models, followed by simulation runs to evaluate performance—a cycle that can stretch on for days or even weeks.

AI-driven CAD simulation revolutionizes this process by automating and accelerating design iterations. By leveraging AI to generate and evaluate design alternatives, engineers can explore a vast design space in a fraction of the time. With AI acting as a virtual assistant, suggesting optimizations and highlighting potential pitfalls, designers can focus their expertise on creative problem-solving rather than mundane tasks.

Enhancing Collaboration and Knowledge Sharing

In today's interconnected world, collaboration is key to innovation. AI-driven CAD simulation facilitates collaboration by providing a common platform for engineers, designers, and domain experts to converge and share insights. By centralizing simulation data and results, teams can collaborate in real-time, seamlessly exchanging feedback and ideas to drive the design process forward.

Furthermore, AI-driven CAD simulation democratizes knowledge sharing by capturing and codifying expertise within simulation models. As AI algorithms learn from the collective experience of engineers, they become repositories of domain knowledge, capable of guiding less experienced practitioners through complex design challenges. This democratization of expertise not only accelerates skill development but also fosters a culture of continuous learning and improvement within organizations.

Optimizing Manufacturing Processes

Beyond the design phase, AI-driven CAD simulation plays a crucial role in optimizing manufacturing processes. By simulating manufacturing operations, such as machining, molding, or additive manufacturing, engineers can identify potential bottlenecks, optimize tool paths, and minimize material waste. This holistic approach to product development ensures that designs are not only functional and aesthetically pleasing but also manufacturable at scale.

Moreover, AI-driven CAD simulation enables predictive maintenance, allowing manufacturers to anticipate and address equipment failures before they occur. By analyzing real-time sensor data and historical performance trends, AI algorithms can identify early warning signs of impending failures, enabling proactive maintenance interventions to minimize downtime and maximize productivity.

Overcoming Challenges and Ethical Considerations

While the potential of AI-driven CAD simulation is immense, it's not without its challenges and ethical considerations. Chief among these is the issue of bias in AI algorithms, which can inadvertently perpetuate existing disparities and inequalities. Addressing bias requires a concerted effort to diversify datasets, interrogate algorithmic decision-making processes, and implement safeguards to mitigate potential harms.

Furthermore, the widespread adoption of AI-driven CAD simulation raises questions about data privacy and security. As simulation models become increasingly reliant on proprietary data, safeguarding intellectual property and sensitive information becomes paramount. Robust encryption protocols, access controls, and audit trails are essential components of a comprehensive data security strategy.

Looking Ahead: The Future of Product Development

As we look ahead to the future of product development, the role of AI-driven CAD simulation will only continue to expand. From autonomous vehicles to sustainable infrastructure, AI-powered simulations will drive innovation across industries, unlocking new possibilities and pushing the boundaries of what's achievable.

However, realizing this vision requires a collective effort from stakeholders across academia, industry, and government. By fostering collaboration, investing in research and development, and prioritizing ethical considerations, we can harness the full potential of AI-driven CAD simulation to build a better, more sustainable future for all.

Conclusion

AI-driven CAD simulation represents a paradigm shift in product development, revolutionizing how we conceive, design, and manufacture the products of tomorrow. By leveraging the power of AI to simulate complex scenarios, streamline design iterations, and optimize manufacturing processes, we can unlock new opportunities for innovation and drive positive change on a global scale.

Outsourcing CAD simulation services optimizes product design by tapping into specialized expertise and resources beyond internal capabilities. Skilled professionals conduct simulations, detecting flaws and enhancing performance. This streamlined approach reduces costs and time-to-market by swiftly addressing design issues. Access to cutting-edge tools and diverse perspectives enhances design robustness and efficiency, fostering innovation and competitiveness.

[thisisrealy2kok]

Power Mac G4 (1999-2004)

[abstractfrog]

Happy 1 year anniversary to Mr Sherlock Holmes! Here's a litttleee celebratory comic from me

[reasonsforhope]

100% have been perusing your climate change masterpost, and understand you're probably swamped so feel free to delete of course. But if you can find the time, is there any kind of hope to give in fighting climate change now? Can we save ourselves against the oncoming steamroll?

You hang in there too. Thanks for finding the hope among everything else. It feels so bad rn but I have to believe it can change. I hope it can.

Yeah actually I do think there is hope.

Things are going to get rough. Things are going to get worse before they get better, both for the climate and for people living in the US (and for people living in lots and lots of other countries that will be affected by the US election results/the ways the climate will worsen as aa result).

I haven't posted about this yet because I didn't want it to come to this, but now that it has, here's something that people have been quietly saying/research has been showing for months:

-via Reuters, November 6, 2024

Renewables, especially solar, are just too powerful to be stopped. They just too much cheaper and too much better, and that's only going to become more true, not less.

Also, I think (and hope) it's actually inevitable that at some point, we'll get to net negative carbon emissions. I think it's like solar: the technology, cost, and planet all make it feel like an inevitable technological trajectory, the same way solar tech is on an exponential trajectory. (IF WE WORK FOR IT, OBVIOUSLY, but also so, so many people ARE working for it, have dedicated their lives to working for it)

I sure fucking hope that's the case, anyway.

(You can find my masterpost on going net negative on what that actually means here)

It is gonna happen more slowly and shittily than I hoped, but I do think it's going to happen.

And if we can get to net negative emissions in time to save ourselves (which I think we will, the rates of advancement in many of these areas are very impressive), then we'll be able to slowly start to undo and heal lot of the damage.

[whats-in-a-sentence]

Thus, conditions at the birth of the universe are critical to directing time's arrow. The future is indeed the direction of increasing entropy. The arrow of time – the fact that things start like this and end like that but never start like that and end like this – began its flight in the highly ordered, low-entropy state of the universe at its inception.¹⁸

18. Throughout this chapter, we've spoken of the arrow of time, referring to the apparent fact that there is an asymmetry along the time axis (any observer's time axis) of spacetime: a huge variety of sequences of events is arrayed in one order along the time axis, but the reverse ordering of such events seldom, if every, occurs. Over the rate, physicists and philosophers have divided these sequences of events into subcategories whose temporal asymmetries might, in principle, be subject to logically independent explanations. For example, heat flows from hot objects to cooler ones, not not from cool objects to hot ones; electromagnetic waves emanate outward from sources like stars and lightbulbs, but seem never to converge inward on such sources; the universe appears to be uniformly expanding, and not contracting; and we remember the past and not the future (these are called the thermodynamic, electromagnetic, cosmological, and psychological arrows of time, respectively). All of these are time-asymmetric phenomena, but they might, in principle, acquire their time asymmetry from completely different physical properties. My view, one that many share (but others don't), is that except possibly for the cosmological arrow, these temporally asymmetric phenomena are not fundamentally different, and ultimately are subject to the same explanation – the one we've described in this chapter.

For example, why does electromagnetic radiation travel in expanding outward waves but not contracting inward waves, even though both are perfectly good solutions to Maxwell's equations of electromagnetism? Well, because our universe has low-entropy, coherent, ordered sources for such outward waves – stars and lightbulbs, to name two – and the existence of these ordered sources derives from the even more ordered environment at the universe's inception, as discussed in the main text. The psychological arrow of time is harder to address since there is so much about the microphysical basis of human thought that we've yet to understand. But much progress has been made in understanding the arrow of time when it comes to computers – undertaking, completing, and then producing a record of a computation is a basic computational sequence whose entropic properties are well understood (as developed by Charles Bennett, Rolf Landauer, and others) and fit squarely within the second law of thermodynamics. Thus, if human thought can be likened to computational processes, a similar thermodynamic explanation may apply. Notice, too, that the asymmetry associated with the face that the universe is expanding and not contracting is related to, but logically distinct from, the arrow of time we've been exploring. If the universe's expansion were to slow down, stop, and then turn into a contraction, the arrow of time would still point in the same direction. Physical processes (eggs breaking, people aging, and so on) would still happen in the usual direction, even though the universe's expansion had reversed.

"The Fabric of the Cosmos" - Brian Greene

[microknifeyuri]

object show hosts designs!

art tags:

@twosnails4eva @knightobreath @sosor @peppermintz-25 @ch0cocrave @salachy-part-two @trophantics @spiritmander13 @blackoutbugza @moonovercome @lucidd-the-weirdo @justsomebadartistguy @clwntwn @billybob162 @person809 @cloffmoff @filecabinett @mysticballistic @boxiidragonx @trolling-pip @cilekixxes @ebbpup @smudgefan77 @sageslug @kasperzinfected @eggz0lotz @itztheebrybry @5tupidusrnam3 @threeais @ii-yinyang @annielocalgodkisser @toipadisms @picklewednesday @chuckchuck228 @kp-does-suff

[4dogs-in-a-trench-coat]

The funniest thing about g13 wanting to be real is that if he gets out of the vhs tape he will be going from a world where dogs can talk and drive cars and where his crazy tech skills lets him make a lunar powered car that can reach 5000 mph to our very real boring world

Like good luck living in a 100 year old body in a world with real consequences

[robntunney]

[vm-haunts]

Red Hood Is A What Now?

Fact one: Red Hood is not a single person. No one agrees on how many guys are in the rotation, or whoever they might be, but everyone that works for Hood knows the boss isn't a single person. Hell, half of them had seen more than one Hood showing up to meetings by now, it's far from a secret.

Fact two: the twins, Jay and Gales, are connected with the boss. Again, nobody agrees on how exactly, but they most definitely are. Maybe they're Hood's son, maybe they're younger siblings. Maybe they're sugar babies even. Whoever they are to Hood though, it's clear that they're trusted enough to stand in at meetings when Boss is unavailable.

Fact three: the twins are metas, honestly it's really obvious in the way their eyes and hair change color like a mood ring. Nobody bothered mentioning it cause that's pretty much all there's to it, just some cosmetic change that isn't even helpful.

...

Or, Danny and Jason is somehow running a gang together, the bulky Red Hood armor is very good at hiding silhouettes actually, and the two are known metas to literally every body except themselves.

[scipunk]

The Matrix (1999)