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Google DeepMind

Google DeepMind, in a nutshell, is a cutting-edge artificial intelligence research laboratory, a subsidiary of Google. 

Google DeepMind, the pioneering AI research lab behind AlphaGo and other groundbreaking projects, might seem like an impenetrable realm accessible only to seasoned engineers and researchers. 

They focus on advancing the field of general-purpose AI (AGI), also known as artificial general intelligence, which aims to create machines with cognitive abilities similar to humans.

Google DeepMind

What makes Google DeepMind special?

Here’s a breakdown of what makes DeepMind special:

Pioneering AI research: DeepMind has made significant breakthroughs in AI, particularly in areas like:

  • Deep learning: Their algorithms have mastered complex games like Go and StarCraft, surpassed human performance in protein folding prediction (AlphaFold), and generated human-quality creative text formats (AlphaStar).
  • Reinforcement learning: DeepMind uses this technique to train AI agents to solve problems and make decisions through trial and error.
  • Neuroscience-inspired AI: They research how the brain works to develop biologically plausible AI models.

Real-world applications: DeepMind’s research isn’t just confined to the lab. It’s finding practical applications in:

  • Healthcare: Tools like Streams use AI to predict and prevent acute kidney injury in patients.
  • Energy efficiency: DeepMind helps Google data centers save energy by optimizing cooling systems.
  • Scientific discovery: AlphaFold is revolutionizing protein research, potentially leading to new drug discoveries.

Ethical considerations: DeepMind also recognizes the ethical concerns surrounding AI and actively participates in discussions and research on safe and responsible AI development.

Google DeepMind

Google DeepMind Engagement opportunities:

Even if you’re not an AI expert, you can still engage with DeepMind:

  • Explore their website and social media to learn about their research.
  • Use Google products powered by DeepMind, like AlphaFold or personalized recommendations.
  • Participate in citizen science projects like Perceiver IO.

Remember, Google DeepMind is at the forefront of AI research, pushing the boundaries of what’s possible. By understanding their work and engaging with it, you can stay informed about the future of artificial intelligence and its potential impact on our world.

But fear not, there are ways to engage with DeepMind’s work and even leverage its advancements in your own endeavors, regardless of your technical background.

Google DeepMind

Exploring the DeepMind Landscape:

  1. Dive into the Research: DeepMind’s website is a treasure trove of information. Visit deepmind.com to browse through their blog, research papers, and project pages. You’ll find fascinating articles on topics like protein folding, climate change prediction, and AI safety, often presented in digestible formats.
  2. Follow DeepMind on Social Media: Stay updated on their latest breakthroughs and events by following their Twitter (@DeepMindAI) and YouTube channel. They regularly share informative videos, podcasts, and talks by DeepMind researchers, offering insights into their work and its potential applications.
  3. Engage with the Community: DeepMind hosts forums and discussion groups where enthusiasts and experts exchange ideas and debate the implications of their research. Consider joining the DeepMind Forum or Reddit community to participate in stimulating conversations.
Google DeepMind

Beyond Exploration: Taking Action with Google DeepMind:

  1. Utilize DeepMind Technologies: Explore Google products and services powered by DeepMind’s AI, such as the AlphaFold protein structure prediction tool or the personalized recommendations in Google Play. These applications showcase the practical impact of DeepMind’s research.
  2. Contribute to Citizen Science Projects: DeepMind engages the public in contributing to research through projects like Perceiver IO, where anyone can help train an AI model to understand the world through videos. Participating offers a firsthand experience in AI development and contributes to scientific progress.
  3. Get Involved in Educational Initiatives: DeepMind offers educational resources like the DeepMind Quest AI coding game and workshops to introduce students of all ages to the principles of AI. Encourage kids and teens in your life to explore these resources and ignite their passion for AI.

Remember: DeepMind’s work is still under development, and its potential implications are vast and complex. Engage with a critical and informed perspective, participate in discussions around ethical considerations, and use your newfound knowledge to advocate for responsible AI development.

While DeepMind doesn’t have a direct user base, its impact extends to a vast number of people through its integration into various Google products and services.

Google DeepMind

Google DeepMind: Star in the Deep Learning Universe

Google DeepMind has carved a prominent niche in the ever-evolving landscape of deep learning. Their contributions extend far beyond the realm of cutting-edge research, leaving a lasting impact on various fields and inspiring future advancements. Here’s a peek into DeepMind’s significant role in deep learning:

Pioneering breakthroughs:

  • Mastering complex games: DeepMind’s algorithms, like AlphaGo and AlphaStar, conquered the intricate worlds of Go and StarCraft, pushing the boundaries of AI’s strategic and decision-making capabilities.
  • Revolutionizing protein research: AlphaFold, a deep learning tool for protein structure prediction, has transformed the field of biology, accelerating drug discovery and shedding light on protein functions.
  • Generating human-quality creativity: AlphaStar’s ability to generate creative strategies in real-time gaming showcases the potential of deep learning for artistic expression and human-like problem-solving.

Advancing deep learning techniques:

  • Refining reinforcement learning: DeepMind’s research has significantly contributed to the field of reinforcement learning, enabling AI agents to learn through trial and error, leading to impressive feats in game playing and robot control.
  • Developing scalable architectures: They’ve designed efficient and adaptable neural network architectures like Perceiver IO, capable of handling diverse data modalities and scaling effectively to large and complex tasks.
  • Integrating neuroscience insights: DeepMind’s research often draws inspiration from how the human brain works, resulting in more efficient and biologically plausible AI models.

Impact beyond research:

  • Real-world applications: DeepMind’s AI powers tools like Streams for predicting and preventing acute kidney injury, demonstrating the potential for improved healthcare using deep learning.
  • Optimizing energy efficiency: Their AI aids Google data centers in reducing energy consumption, highlighting the environmental benefits of deep learning-based solutions.
  • Democratizing AI: Projects like Perceiver IO strive to make deep learning tools more accessible and adaptable, paving the way for broader adoption and innovation.

Challenges and considerations:

While DeepMind’s achievements are noteworthy, it’s crucial to acknowledge potential challenges:

  • Ethical concerns: Issues like bias, transparency, and job displacement require careful consideration and responsible development of deep learning applications.
  • Accessibility and equity: Ensuring equitable access to the benefits of deep learning and mitigating potential inequalities is crucial.
  • Long-term implications: The potential far-reaching consequences of general-purpose AI necessitate ongoing research and ethical discussions.

Looking ahead:

DeepMind’s pioneering work in deep learning continues to inspire and shape the future of AI. Their dedication to tackling complex challenges, advancing the field responsibly, and exploring real-world applications positions them as a leading force in shaping a more intelligent and beneficial future for all.

The story of DeepMind in deep learning is far from over. As research progresses and technological advancements unfold, one thing is certain: DeepMind will remain a prominent force, illuminating the path towards a future where AI enhances and enriches our lives in innovative and transformative ways.

Google DeepMind

Google DeepMind Audience

Here’s a breakdown of how DeepMind’s technologies reach a wide audience:

  • AlphaFold: This groundbreaking protein structure prediction tool has been used by over 100,000 researchers worldwide, accelerating drug discovery and advancing our understanding of biology.
  • Google Play: DeepMind’s AI powers personalized recommendations in the Google Play Store, reaching over 2.5 billion active Android devices.
  • Google Assistant: DeepMind’s research has contributed to advancements in natural language processing, making the Google Assistant more responsive and helpful for millions of users.
  • Google Data Centers: DeepMind’s AI has helped to reduce energy consumption in Google’s data centers by up to 40%, indirectly benefiting billions of Google users by reducing the environmental impact of their online activities.

Beyond these direct applications, DeepMind’s research has also influenced other AI projects and advancements across various industries, further extending its reach.

Google DeepMind


The benefits of Google DeepMind

The benefits of Google DeepMind are far-reaching and multifaceted, impacting both individuals and society as a whole. Here’s a glimpse into some key areas:

Scientific & Technological Advancement:

  • Accelerated scientific breakthroughs: DeepMind’s AI tools like AlphaFold are revolutionizing protein research, leading to faster drug discovery and development.
  • Enhanced problem-solving capabilities: By tackling complex challenges in areas like materials science and climate change prediction, DeepMind is paving the way for innovative solutions.
  • Automation and optimization: From optimizing energy efficiency in data centers to streamlining logistics networks, DeepMind’s AI is driving automation and increasing efficiency across various sectors.

Societal & Individual Impact:

  • Healthcare improvements: AI tools like Streams help predict and prevent acute kidney injury, potentially saving lives. DeepMind’s research also contributes to personalized medicine and early disease detection.
  • Enhanced quality of life: AI assistants powered by DeepMind can assist with daily tasks, provide reminders, and even offer companionship, particularly for vulnerable populations.
  • Educational opportunities: DeepMind’s educational initiatives, like DeepMind Quest, spark interest in AI among young people and provide valuable learning experiences.

Economic Growth & Productivity:

  • Increased productivity and automation: DeepMind’s AI can automate repetitive tasks, freeing up human workers for more strategic roles and boosting overall productivity.
  • New job opportunities: The development and implementation of AI will create new jobs in areas like AI development, maintenance, and ethical oversight.
  • Economic expansion: By driving innovation and efficiency across various sectors, DeepMind can contribute to economic growth and development.

However, it’s important to acknowledge that DeepMind’s advancements also come with potential challenges and risks:

  • Ethical considerations: Issues like bias, transparency, and job displacement need careful consideration and responsible development of AI.
  • Accessibility and equity: Ensuring equitable access to the benefits of AI and mitigating potential inequalities is crucial.
  • Long-term implications: The potential far-reaching consequences of general-purpose AI necessitate ongoing research and ethical discussions.
Google DeepMind: Perceiver IO



Google DeepMind: Perceiver IO Project

Google DeepMind’s Perceiver IO is a groundbreaking project that pushes the boundaries of what’s possible with neural networks. It’s a powerful and flexible architecture capable of handling a wide array of tasks with diverse inputs and outputs.

Here’s a breakdown of Perceiver IO and its key features:

What it does:

  • Handles diverse data: Perceiver IO can process different kinds of data like text, images, audio, video, and point clouds, making it truly versatile.
  • Scalability and efficiency: Unlike traditional Transformer models, Perceiver IO doesn’t suffer from quadratic complexity as input size increases. This means it can handle large and complex inputs efficiently.
  • Structured inputs and outputs: Perceiver IO excels at tasks with structured inputs and outputs, such as predicting optical flow between images or generating melodies from musical notes.
  • General-purpose architecture: It’s not limited to specific applications and can be adapted to various tasks, making it a valuable tool for researchers and developers.

How it works:

  • Cross-attention and latent space: Perceiver IO uses cross-attention to project high-dimensional input data onto a lower-dimensional latent space. This compressed representation is then processed by a Transformer module, making it more efficient.
  • Flexible output: The latent space is then decoded into the desired output format, enabling Perceiver IO to generate outputs of various shapes and sizes.

Impact and Applications:

  • Real-world potential: Perceiver IO has shown promising results in tasks like image inpainting, protein structure prediction, and robotics control.
  • Democratizing AI: By being adaptable and efficient, Perceiver IO can pave the way for more accessible and versatile AI tools.
  • Unlocking new possibilities: Its wide range of applications makes it a valuable tool for various fields, from scientific research to creative endeavors.
Google DeepMind Projects

20 Fascinating Google DeepMind Projects 

Google DeepMind, the renowned AI research lab, is constantly pushing the boundaries of what’s possible with artificial intelligence. From mastering complex games to revolutionizing protein research, their projects tackle diverse challenges and hold immense potential to benefit various fields. 
Here’s a glimpse into 19 of their most fascinating endeavors:

1. AlphaGo & AlphaStar: These AI programs conquered the challenging worlds of Go and StarCraft, respectively, showcasing DeepMind’s prowess in game playing and strategic decision-making.

2. AlphaFold: This groundbreaking tool predicts the 3D structure of proteins with remarkable accuracy, accelerating drug discovery and unlocking new insights into protein function

3. Gato: This multi-modal AI agent demonstrates impressive versatility, excelling in different tasks like playing Atari games, generating text, and controlling robotic limbs.

4. AlphaZero: This self-play learning algorithm mastered chess, Go, and Shogi from scratch, highlighting DeepMind’s advancements in reinforcement learning and game playing.

5. MuZero: Building upon AlphaZero, MuZero can learn to play games and solve other tasks without any prior knowledge or human intervention, showcasing its general-purpose learning capabilities.

6. Streams: This AI-powered tool helps predict and prevent acute kidney injury in patients, demonstrating DeepMind’s potential to revolutionize healthcare with intelligent algorithms.

7. Perceiver IO: This flexible neural network architecture handles diverse data modalities and scales efficiently, making it a powerful tool for various tasks like image inpainting and protein structure prediction.

8. Deep Green: This project aims to develop AI for sustainable energy management, optimizing energy consumption in data centers and contributing to environmental goals.

9. Robotics & Control: DeepMind’s research in robotics control equips robots with intelligent decision-making and movement capabilities, paving the way for more flexible and autonomous robots.

10. Language Understanding: DeepMind’s advances in natural language processing enable AI to understand and generate human-like language, with applications in chatbots, machine translation, and text summarization

11. Multimodal Learning: By integrating information from different modalities like vision, sound, and touch, DeepMind’s AI gains a richer understanding of the world, leading to more robust and adaptable algorithms.

12. Unsupervised Learning: DeepMind explores unsupervised learning techniques where AI learns from unlabeled data, unlocking the potential to analyze massive datasets and discover hidden patterns.

13. Fairness & Ethics: Recognizing the ethical considerations of AI development, DeepMind actively researches and promotes responsible AI practices to mitigate bias and ensure fair and beneficial applications.

14. Explainable AI: DeepMind strives to develop AI models that are interpretable and understandable, allowing humans to understand the reasoning behind their decisions and build trust in AI systems.

15. Safety & Security: Ensuring the safety and security of AI systems is paramount, and DeepMind actively researches methods to identify and mitigate potential risks associated with advanced AI.

16. Democratizing AI: DeepMind initiatives like DeepMind Quest aim to make AI more accessible and engaging for everyone, fostering interest and understanding of this transformative technology.

17. OpenAI Collaboration: DeepMind’s recent merger with Google AI’s Brain division signifies a commitment to collaboration and accelerated progress in the field of AI, potentially leading to breakthrough advancements.

18. Future of Work: As AI continues to evolve, DeepMind actively explores the potential impact on the workforce and works to ensure a future where humans and AI co-exist and collaborate effectively.

19. Long-Term AI Safety: DeepMind recognizes the importance of considering the long-term implications of advanced AI and actively participates in discussions and research on safe and responsible.

Beyond the List:

This list of 19 projects scratches the surface of DeepMind’s diverse and impactful work. They constantly embark on new ventures, tackling complex challenges and unveiling the immense potential of AI across various fields. Whether it’s revolutionizing scientific research, optimizing energy consumption, or shaping the future of work, DeepMind’s contributions hold the promise of a better and more intelligent future for all.

Google DeepMind Projects

Conclusion The Deepmind: How to Engage with Google’s Cutting-Edge AI

Google DeepMind offers immense potential for progress and positive impact across various aspects of our lives. 

DeepMind doesn’t disclose specific user numbers for its research projects or internal tools. However, the widespread adoption of its technologies within Google products and its influence on the broader AI landscape demonstrate its significant impact on a global scale.

By stepping into the world of DeepMind, you can gain valuable insights into cutting-edge AI research, contribute to scientific progress, and even leverage its advancements in your own life. 

https://www.exaputra.com/2023/12/the-deepmind-how-to-engage-with-googles.html

Renewable Energy

What Operators Want to Hear at WOMA 2027

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Weather Guard Lightning Tech

What Operators Want to Hear at WOMA 2027

Two days of operator meetings in Melbourne shape the WOMA 2027 agenda, from performance upgrades and cable faults to foundations and bolts.

The Uptime Wind Energy Podcast is brought to you by Weather Guard Lightning Tech, creators of the StrikeTape Ultra LPS retrofit. Subscribe to Uptime’s Substack newsletter. And check out Rosemary’s “Engineering with Rosie” Youtube channel. Have a question we can answer on the show? Email us!

Allen Hall: Welcome to the Uptime Wind Energy podcast. I’m your host, Allen Hall. I’m here with Matthew Stead and Rosemary Barnes. And Rosemary, where are we?

Rosemary Barnes: We’re in Melbourne, and we have been visiting future attendees and sponsors and people interested in, in the event to see what topics that we should be talking about.

What are the hot topics of the moment?

Allen Hall: Which is a very interesting two days, Matthew, in that, uh, we h- did meet with a number of operators based in Australia, but, uh, they’re also very worldly. They have talked to companies all over about operations and, and maintenance, and there are some really eye-opening topics- Mm

that will be- Mm … at WOMA 2027 this year.

Matthew Stead: Yeah. The thing that was interesting for me was [00:01:00]that actually the topics have changed each year. So, um, they’re evolving and the industry’s continuing to, to do better, and so that, that was really interesting. Performance upgrades was probably one of the big areas of, of new interest, I think.

I think we heard with the pressure on pricing, uh, the market and so forth, you know, that, that 1% or 2% now is becoming more important. Um, so I think, uh, upgrades will definitely feature quite a lot. Um, balance of plant was also a big topic. Um, you just can’t ig- ignore the, um, transmission, you can’t ignore the transformers, you can’t ignore, uh, condensers and all these sorts of things, so yeah.

Rosemary Barnes: Cables.

Matthew Stead: Cables.

Rosemary Barnes: Terminations. Terminations of cables. Specifically raised several times.

Allen Hall: Yep. Yeah. It’s all about being more efficient, uh, getting more production, and then with the PPA prices, uh, that are changing-

Matthew Stead: Mm …

Allen Hall: rapidly, uh, everybody is paying more attention to the bottom line.

Matthew Stead: Mm, mm.

Allen Hall: Absolutely. There, there’s less cash running around, uh, chasing new development.

It’s [00:02:00] more of a focus on making sure your, at least your existing assets are performing as, as well as they can be- Mm … which then opens up the, uh, Pandora’s box of opportunity. Mm. Because there are 1%’s all around a wind turbine. More specifically, uh, all the drive train issues, the blade issues, the generator issues, and even going into the substation.

Mm. I, I was really shocked on BOP e- the, the one topic that came up, uh, yesterday and today was buried cables. Mm. Like-

Matthew Stead: Faults …

Allen Hall: faults.

Rosemary Barnes: Yeah. Junctions. Finding- Yeah … finding faults and what to do about them. Yeah. Yeah. But I think in addition to just wanting more revenue, I think people have, are getting more sophisticated about what actually matters and then the finances.

You know, everyone’s focused so much on availability, and now people- Mm … are like, okay, yeah, like once you’re at a certain level of availability, gets harder and harder to get more. And actually, you know, not all availability is equal. Is good. It, it [00:03:00] depends. Yeah. Yeah, like you wanna, um, you wanna focus on how much you’re generating at the times when electricity prices are high specifically, which usually means during lower wind speed periods.

Yeah. Which is actually good because that matches really well with what is actually possible. It’s, it’s hard to get more power out of the turbine if it’s at, you know, its rated power, then you’re not g- More efficiency is not gonna get you any more, um, power output, whereas lower in the power curve- Mm … um, when wind speeds are lower, there’s less electricity in the grid and so prices are higher.

And so- Mm … yeah, I mean, that’s, that’s why people are really asking to know more about what efficiency upgrades are possible, better ways to operate, scheduled maintenance, um, all those sorts of things. Mm. So that will be really interesting.

Matthew Stead: Raising the bar on sophistication. Um, but also life extension

Allen Hall: Yes, a lot of discussion about life extension

Rosemary Barnes: Yeah, end of life and life extension End of life Yeah, um-

Matthew Stead: Foundations, structures Which is

Allen Hall: tied to PPA.

Mm. A lot of that [00:04:00] discussion I, at least I looked at it as, uh, if I had a PPA and I can continue with that PPA with an existing turbine, I want to do that. Mm,

Matthew Stead: mm,

Allen Hall: mm. But how do I do that and how do I know that that existing turbine can last another five years? It seemed to go in five-year blocks, like can we get to another five years and then another and then, then another.

Wow.

Rosemary Barnes: Yeah. Once you get to 20, 20, 25 years, I think people like, uh, they, you know- It’s getting a little- Their original agreement might have been for 20, then they kind of just assume that there will be another five, and then after that they’re- Yeah … kind of reassessing cyclically and yeah, I know that people make plans for, you know, what components are replaceable, what would they have to get in, and I think that sometimes, uh, people doing those plans aren’t as familiar with the, you know, actual technical issues that are being faced.

Like, is a blade a replaceable component? It may be early on in the life it sort of is, not easily, but you know, like a 25-year-old wind turbine, you know, good luck trying to order 10 new blades because you’ve got a, you know, an issue that’s-

Allen Hall: Oh, well you, you need to read the news. Did you [00:05:00] see the news today about, uh, the, the wooden wind turbine blades as a replacement for aged blades?

That, that’s happening- … in real time, Rosa.

Rosemary Barnes: Okay. I know they- Yeah. Yep, yep. Okay. Okay. So that, that’s, that’s good. Making carbon new blade. E- even so, I don’t think that they’re- Okay. … gonna be, like, super-duper cheap, so you’re still gonna wanna be, um, doing a trade-off between y- you know, like, what kind of repairs.

You might be able to change the way you’re operating to reduce loads. Um, you might be able to monitor to make sure that your blades are safe. You know, if you know that there’s an issue, um, you just wanna get some advanced warning before blades start falling off your, your tower. Mm. You know, and then you can push it further.

Yeah. Whereas if you’ve got no information, then you have to be conservative and shut it down. Yeah. So yeah, I think there’s a whole lot that can be g- can be done there in that area.

Matthew Stead: There was a point that came up today, which I think was close to your heart, on, you know, if you’re going to be going for 1% or 2% or 0.5% AEP improvement, how do you actually measure that and how do you set up a proper experiment?

So-

Rosemary Barnes: Yeah …

Matthew Stead: I, I, I love that topic. [00:06:00]

Rosemary Barnes: Yeah. No, it’s one that I, um, yeah, I deal with m- my clients I, I’m often… It’s one of the things that Pablo really loves to do, is to organize trials of that nature of new technologies and see if they work. But, um, yeah, asset managers are usually very, uh, focused on fast results.

You know, they’ve got a, a big problem and they want a solution now, so they wanna just roll out the new technology over an entire wind farm. But if you do that, then it’s almost impossible. Unless you get, like, a huge benefit, like, uh, 10% gains or, you know, like reduce your failures by 50% or more, it’s really hard to actually- Mm

pick that out if you just replace everything. Mm. Whereas if you do a really, really good, um, trial plan- Systematic. Yeah … and you match pairs very well so that you have, you know, a control for each turbine and there’s- so many variables in a wind farm. It’s not, it’s not as easy as just, like, randomly choosing 50% to do and not do.

Mm. Mm. Mm. Like, you have to, you know, put some work into the trial design, and then, you know, like, do your statistical calculations ahead of time to know how long it’s gonna take you to get s- statistical [00:07:00]significance. So then you don’t just have a gut feeling about- Yep … how something went. You’ve actually got numbers, and then you can take those numbers to, you know, other wind farms that you’ve got- Yeah

and, and know what’s going on much better.

Matthew Stead: Worst study is an inconclusive study.

Rosemary Barnes: Yeah. Yeah, that’s true. Definitely.

Allen Hall: Well, that comes back to the data analysis- Mm … which a lot of operators mentioned, and how much data there is and what to do with it, and it did seem like a couple of operators have chosen some AI tools, varying degrees, all the way down from Microsoft Copilot to something much more complicated.

Uh, but I think there’s, uh, getting that d- to the last 1, 2, 3%, you’re going to need those tools- Absolutely … because what do you choose? Do you choose a blade? Do you choose a gearbox? Do you choose a generator? Do you go to the substation to get that percentage point or two Without having some really powerful tools- Mm.

you may be wasting your time [00:08:00] and money.

Matthew Stead: Mm.

Allen Hall: Which is a, a, a very interesting, uh, aspect to wind energy because it’s such an industrial business that, uh, we haven’t used heavy computational tools, uh, un- until really now.

Matthew Stead: Mm.

Allen Hall: And maybe Australia’s at the forefront because of the PPA and negative pricing is that that will, uh, actually lead an industry.

Because I haven’t seen a lot of that being used globally. Mm. So this is the first time an operator- Mm … that I’ve talked to has said, “We’re using it.”

Matthew Stead: Yeah. It’s quite a different discussion, um, I think, you know, this year compared to previous years in that I think in the past it was getting to know what’s possible, but now it’s like real case studies are coming through.

And a few of the people had some really good examples that we can talk about at the conference as to how they’ve actually been helped and how they did this and what the outcome was. I think, yeah, that would be really great content on that.

Rosemary Barnes: Yeah. I think it’s gonna be a good mix of people who have used third party tools and have experience with it, people that are doing it in-house and can share- Mm

some of the kinds of results- Mm … that, that you can get just from analyzing your own- Mm … [00:09:00] SCADA data. Um, people talking about how they get the data that they want. Mm. ‘Cause it’s not always so easy. You would think that, you know, you own a wind turbine, you have a right to have all of the data that comes through it, but it’s not.

Um, even if you do technically have a right, it’s, uh, it, it’s harder to actually get it than you might think. Mm. So yeah, sharing all, all those kinds of things. But I think also, like just as important as talking about the successes is talking about the, the gaps that– people still feel lots of gaps. Like, okay, we’ve got all the data, we’re collecting it.

We know that there’s so much potential here- Mm … but we don’t really- Mm … know what we can do, or it’s hard for us to, you know- Mm … make headway in this particular pain point. And that is really useful for companies that are developing tools to know what are the, the problems. Mm. Because then they can e- you know, they’re well placed to fix them.

Allen Hall: Mm. Which leads to the discussion we had with the operators and, uh, some of the suppliers for WOMA 2027. There’s a lot of interest. And as we’re sitting in the conference rooms, I’m thinking, we may not have enough room to [00:10:00] seat everybody. Uh, the WOMA 2027 website is up and running, and you can register now.

So just go to woma2027.com and get started there. At the same point, we’ve had a lot of contact with, uh, pretty much everybody that wants to sponsor the event, and there’s only a limited number of ways to sponsor. So if you’re interested in doing that, you, you need to go to woma2027.com and look at those, uh, part- particular packages and see what- Mm

fits your, your business. Uh- Going back to some of the, the comments we were just discussing downstairs about what we heard at 2026, like, which is only a couple of months ago, right? It’s back in February this year. Uh, there’s, they’re still discussing what happened at WOMA 2026- Mm. Which was very fascinating- Mm

because I think Rosemary, you and I have been to conferences that I have not thought an iota … about what happened at those conferences. Just nothing interesting does occur. There’s no new, new information, there’s [00:11:00] no new science, there’s no new operator approaches.

Rosemary Barnes: Mm.

Allen Hall: But we’re gonna see a number of those- Yeah.

Mm … come next March.

Rosemary Barnes: Yeah. Well, I think it’s partly because I don’t know what other conference organizers do, but, you know, we’ve had a exhausting few days here. You’ve come all the way from America, obviously, and, and Claire as well, also come over, our producer. Um, so, y- you know, like, we’re working really hard to make sure that the topics…

Like, it’s not an accident that the topics are ones that people are talking about later, because we come here to make sure that we get the right topics. And it’s not just these meetings as well. People get in touch, and- Mm … anybody watching, listening, who has, you know, something that they wanna talk about, then definitely, you know, send us a message, and yeah, we’re working on the agenda.

We’ll, we’ll have a draft agenda in the next couple of weeks based on what we’ve learned here, but then we’ve got the hard job of it’s not just that you have a really interesting topic, you need to have a really great speaker- Yeah … or several really great speakers, usually covering several different aspects of the problem.

You know, maybe it’s, uh, yeah, an asset [00:12:00] owner, an OEM, and some, some technology provider, you know, all together giving different, um, yeah, perspectives. That’s, I think, what makes a really great session. Mm. So yeah, we need the ideas for the sessions, and we also need the ideas for great speakers.

Matthew Stead: Yeah.

Rosemary Barnes: Right.

Matthew Stead: Yeah. I think we’ve, we’ve already matched a few of those dots, so- Yeah … I, we’ve heard people asking for certain topics they wanna hear about, and then we’ve heard other operators saying, “Well, this is what we could talk about.” So I think we’ve already-

Rosemary Barnes: Yeah, yeah … got some great

Matthew Stead: progress.

Rosemary Barnes: It was, it was interesting ’cause we, we built up a list of, you know-

Matthew Stead: Yeah

Rosemary Barnes: frequently raised topics, and then you’d say it to the next person that you went to- Mm … and they’re like, “Oh, that’s not a problem for us because we’ve done X, Y, Z.” And you’re like, “Okay. Well, excellent. You can, you can present the solutions that we know that other people- Yeah. Yes … are, are looking for.” Yeah.

So it has been… Yeah. Yeah. I mean, it’s definitely worthwhile coming, as, as tiring as it is. Yeah. Um, definitely worthwhile, and we’ll get a much better agenda for the- Yeah … for the effort.

Matthew Stead: And I think, I mean, it has been tiring. Um, but what, what made it for me was one of the operators said that [00:13:00] this is the only conference they will go to So I think, I think we’re doing the right thing.

Rosemary Barnes: Yeah. Yeah. I, I think so. I understand too, like, you know, all of us, we kind of are forced to go to events because that’s where our, our clients and customers are, and so you need to see them. And yeah, like I’ve even gone to the extent of some events where I don’t particularly like the event, but I know everyone’s going.

Mm. I just go and sit near the event for a couple of days and meet people at a cafe. So yeah, like we can’t get away from it. But if you’re an asset manager or, um, yeah, somebody in that kind of type of work, like you’ve got better things to do than listen to sales pitches aggressively thrown at you that aren’t relevant- Yeah

to what you’re doing. So, um, yeah. Like I, I definitely love to hear that kind of feedback- Yeah … and wanna make sure that we get it every, every year. Like that’s- It’s, it’s

Matthew Stead: encouraging.

Rosemary Barnes: Yeah … yeah, that’s, that’s the point of the conference, so.

Matthew Stead: Yeah.

Rosemary Barnes: Yeah.

Matthew Stead: The other big topic was we would really love more OEM involvement.

Um-

Rosemary Barnes: Yeah. Everybody wants more- … a lot of the operators- … OEM involvement- Yeah … all of the asset owners.

Matthew Stead: Yeah.

Rosemary Barnes: Like we want to [00:14:00] hear from OEMs more, have them there. Um, so yeah, we’re, we’ll be trying to To get those sorted

Allen Hall: Well, WOMA is a global conference, although it’s Australia-based and there’s a, a number of Australian operators.

There are Danish, Americans, uh, plenty of Europeans. Uh, we’re gonna see some from Southeast Asia, I think, this year. Mm-hmm. And, and Japan hopefully will come. Uh, because it’s a, it’s a global conference, there’s global knowledge- Mm … and wind is such a big industry. You may not have the solution in the United States, it may be sitting in Australia, and we need to exchange those ideas.

Mm. And that, that’s the point. So w- we are continuing to look for those world experts as we have received all the inputs of these are all the topics we wanna go hear about. Great. Now it’s on us three to go find some of those world experts and, and try to get them to Melbourne. Yeah. And I, I think that’s a great opportunity.

So if we do call you and ask you to participate in WOMA [00:15:00] 2027, please take it seriously because- Mm … you will be bombarded with great questions- Mm … and contacts and information. Uh, it’s an event you won’t wanna miss. Yeah. And- But I would- … there’s opportunity there.

Rosemary Barnes: Yeah. I’d say we’re, we’re prioritizing OEMs, um, to, to get more participation, ideally to speak, but at least to be there.

And we have heard from multiple asset owners in Australia that they want, they, they want to know what are some of the upgrades that they can do- Yeah … that you’re offering. They wanna know what’s coming next in terms of technology. They wanna know what are some of the non-Western options. So, you know, like it would be great to get some Chinese wind turbine, um, manufacturers as well.

Like, they want all this information. They don’t want a slick sales brochure pitch that doesn’t give them any technical information. So we’re hopeful that we’ll be able to get, you know, some technical people to speak on, yeah, what are the upgrades you offer and how does it work- Mm-hmm … and show us a case study that demonstrates the improvements.

Um, ’cause that [00:16:00] sometimes is really hard to get out of- Mm … out of OEMs. You know, that, “We’ve got this thing, it’s so amazing, you should get it.” Okay, well, what’s the business case for it? “Oh, well, we don’t have any numbers. Just trust us.”

Matthew Stead: Yeah.

Rosemary Barnes: Um, it’s so common to get a pitch like that. So yeah, any, any OEM that has any- anything like that, either for the next generation of wind turbines or for upgrading the current fleet, yeah, if you’re willing to bring the data, then people, they are desperate to hear this information.

Allen Hall: Mm.

Matthew Stead: Yeah. That came up so many times.

Rosemary Barnes: Mm.

Allen Hall: So what were the other, uh, topics that we’re… I’m just not thinking off the top of my head. I know foundations came up quite a bit- Foundations, yeah … which was an odd one, I think, because we haven’t seen that a lot in Australia. Yeah. But this year, foundations, foundations, foundations.

Basically, the health of foundations. Yeah.

Matthew Stead: Yeah. I think really there was a lifting of the maturity. Um, I think the topics were sort of showing that, you know, Maslow’s hierarchy and moving into the more of optimization rather than making do, and I think life extension around the foundations was a, a really good example of that.

Allen Hall: And bolts.

Matthew Stead: Bolts? Yeah, bolts.

Allen Hall: [00:17:00] Everybody said bolts. Bolts.

Matthew Stead: Bolts.

Allen Hall: You think the world’s simplest device, we’ve been making bolts for nearly 1,000 years or at least a couple hundred. But it does- And, you know- … come up quite often … cable, cable

Matthew Stead: terminations, again, some really

Rosemary Barnes: basic- Yeah, that, really specific ones that were raised multiple times.

Yeah. Um, yeah, which, which is great- Yeah … ’cause it gives us a good direction to go. But I do love how it changes so much every year- Yeah … ’cause it makes me feel like, okay, yeah, like we’re actually, you know, it’s worthwhile, um, putting on another event. Mm. Um, not just recording one event and then just, you know, like replaying that every year or something.

Re-educating.

Allen Hall: Yeah. Well, I, I think there’s a learning exercise that has happened over the past two years where people now are knowledgeable about those things we talked about- Mm … two years ago. Uh, was it, was it even two years ago? It was a year and a half ago when we first started this, so we’re, we’re not that deep into it.

Although our third conference will be next March, uh, you just see more energy, more industry knowledge in some of the references that I heard, uh, in terms of other companies and the approaches they’re taking clearly came from WOMA.

Matthew Stead: Yeah.

Rosemary Barnes: Mm.

Matthew Stead: Yeah,

Allen Hall: yeah. Which is, which is [00:18:00] fascinating. Yeah. That’s

Rosemary Barnes: good. I mean, we want- It, it is

Allen Hall: sticking

Rosemary Barnes: we want tech conferences to get better, right? That was the- No … the reason why we, uh, we started this conference was ’cause we didn’t think that it was sufficient, what we had available. So, you know, it’s not a bad thing if other conferences, um, get better. Yeah. Yeah. We should also mention that blades were, were raised a fair bit.

We talked so much about blades in the previous years, and we will be talking about blades a lot again, including we’ve got a master class on the Friday. Uh, it’s… Yeah, we’ll go back to some of the basics about how the composite materials work and how a blade is designed and certified and manufactured, and, um- Lightning.

Y- yeah, yeah, a little, a little bit about lightning. Um, I don’t wanna cover it too much because we did the master class on lightning- Right … last year. Mm. Um, yeah. And yeah, some of the common damage methods anyway. And of course- Mm … yeah, lightning is probably the most- … common, or I guess leading edge erosion is the most, and then lightning would be the most expensive.

Um, yeah, so we’ll be, we’ll be covering all that and just try and raise the knowledge level a little bit, um, for [00:19:00] everybody to… It’s a very complicated kind of, uh, yeah, component.

Matthew Stead: Yeah.

Rosemary Barnes: Yeah.

Matthew Stead: And workshops. So each year we’ve run sort of workshops or roundtables or whatever, so we’re still thinking about the format for them, but, um, thinking about how we’ll reintroduce them again this year.

You know, specific topics, specific questions, specific answers.

Rosemary Barnes: Mm.

Allen Hall: And the three of us will be in Hamburg in a couple of weeks at Wind Energy Hamburg, so if you see us and you’re interested in coming to Australia, that’s the place to grab us and- Yep … and shake us and say, “I wanna go to Australia. How do I do it?”

Rosemary Barnes: Mm.

Allen Hall: Uh, yeah. Yeah.

Rosemary Barnes: Especially if you’ve got a, a t- technology that addresses some of those specific issues that we’ve mentioned- Mm … then, um, yeah, just know ahead of time that Australia needs, needs more information and more, um, solutions available to them. So, yeah. And

Matthew Stead: that reminds me, we had a really discussion a- around safety and, you know, reasonable and [00:20:00] practicable, and discussion around all the lessons learned about how…

or what is best practice on a site, what is best practice about how to manage risks and-

Rosemary Barnes: Mm.

Matthew Stead: Yeah. Yeah. I know you, you, you enjoyed that one.

Rosemary Barnes: Yeah, yeah, definitely. And we’re not talking about, like, safety the- Ear muffs or hats. The, um, rou- Yeah, the routine safety that if you- The goggles, yeah … yeah, trip over and graze your knee, then you need to let the site supervisor know.

You, you know, it’s not that stuff, ’cause sites have that under control. That’s a given, yeah. Or at least the ability to get that under control. We’re talking about the bigger- Yeah … bigger things, you know. Like, uh, is there a issue that is causing blades to fall off turbines every now and then? Is there an issue that, uh, can lead to, you know, a fire?

I, I think everyone, like- Yeah … a big fear of everybody’s. There’s never been, um, in Australia at least, there’s never been a wind turbine fire that has caused a bush fire, but it is a possibility, and it would be so bad for the industry. So, you know, it’s those things- Mm … that could be just terrible, preventing those before they happen.

Mm. So that’s the kind of safety that we’re gonna mainly focus on. Mm. Although, you know, we’re not gonna [00:21:00] turn down questions on, um, some of the smaller stuff as well.

Matthew Stead: Yeah.

Rosemary Barnes: Mm.

Matthew Stead: And we even thought about getting some lawyers-

Rosemary Barnes: Yeah …

Matthew Stead: you missed out on this discussion, Rosie. Okay.

Rosemary Barnes: Yeah.

Matthew Stead: So

Rosemary Barnes: Yeah. Lawyers, this is news to me.

Well, I mean, are we talking contracts or, um-

Matthew Stead: No, no … no … it’s really operations. I mean- Right … the environmental, um, issues- Oh yeah … the operational issues. Mm. You know, there’s, there’s a few things in there that the lawyers can add.

Rosemary Barnes: Yeah. I mean- … I’ve, I constantly find myself having to interpret, you know, legal, um, legal text and also anticipate, you know, it’s one thing about what’s the right engineering, but then there is also the legal interpretation of it- Yeah

uh, as well, you know, in terms of contract law, but then also in, in terms of safety. Yeah. Um, yeah. Was this certification done correctly? You know- Yeah … that’s got some legal aspect to it. So yeah, that- Yeah … makes sense to me. Insurance is another one where I would say- Yeah, actually that came up … you know, like some, some people might think that that doesn’t sound interesting, but yeah, in- insurance is the other-

Matthew Stead: Mm

Rosemary Barnes: aspect that you [00:22:00] just can’t, um, you can’t get away from it. Like, you can’t just think that you’re, you’re doing your engineering without bothering about Mm … yeah, like finance and law and, um, and insurance. Those are things that- Mm … you spend a lot of time thinking about.

Matthew Stead: Yeah. Mm. And I guess we would also love to hear, you know, about potential speakers, but we’d also love to hear any other topics that people are attending and want to know about as well.

Rosemary Barnes: Mm-hmm.

Allen Hall: Absolutely. And if you haven’t registered for WOMA 2027, which will be March 3rd through 5th at the Pullman in East Melbourne, right? East Melbourne, yeah. They just redefined it. It’s Pullman in East Melbourne. Uh, go ahead and go to woma2027.com and register now. Uh, Matthew and Rosemary, it’s great to see you in person again, and we’ll see you in a couple of weeks, uh, hopefully in, in Germany.

Rosemary Barnes: Mm.

Allen Hall: Very [00:23:00] exciting.

What Operators Want to Hear at WOMA 2027

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Forcing Our Teachers to Toe the Line on Communism

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The substance of the meme here is correct; Florida public schools require comprehensive K-12 instruction on the history and dangers of communism, following a series of legislative moves and curriculum standards. The updated “History of Communism” curriculum is rolling out for the 2026–2027 school year, mandating that students learn about the “brutal realities” and (the catastrophic) global impact of communist regimes.

When I was a schoolboy in the 1960s and early 1970s, we came to learn that all efforts to establish a viable communist nation had failed, but our teachers were not shackled as to what they could teach and how they could teach it.  As a result, we came to a variety of helpful viewpoints, and these are what I offered my own kids as they were growing up, e.g.,

  • “Men are not angels,” as my sixth-grade social studies teacher explained.  Those who do not need to work in order to survive can simply goof off.
  • Yet idleness is averse to most people’s psychological needs to be an active and productive person, and member of society.
  • Power corrupts, and absolutely power corrupts absolutely.  Democracy prevents the accumulation of a pathological amount of power on the part of any one leader.  (This was assumed to be true until Donald Trump’s second term.)
  • If Lenin (a butcher) hadn’t had Trotsky (a compassionate intellectual) assassinated, the entirety of the USSR would have turned out completely differently.
  • If the U.S. hadn’t, through its embargoes, made it impossible for Cuba to offer its people a decent quality of life, their revolution may have succeeded and brought forth a new way of thinking.
  • There are examples of smaller scale societies in which the ideals of communism work out very nicely, e.g., the Israeli kibbutz.
  • We read and discussed at length a book called “Social Ideals and Ideal Societies” in which these concepts were analyzed fairly and in great depth.

Now, will the typical American schoolchild turn out better if he’s cut off from thinking critically about all this and forced to accept the mantra that “communism = evil?” The typical Florida Republican would say the answer is an obvious yes, but most intelligent people would dispute that.

Producing educated people who can think for themselves is an idea quite opposed to the ongoing control of a population.

Forcing Our Teachers to Toe the Line on Communism

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Trump Supporters Stupid?

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To the author of the meme here, I say: It’s safe to say that most folks in Trump’s MAGA base are stupid, though one needs more than a low IQ to fit into this segment.

In particular, we mustn’t omit mean-spiritedness.  People who are kind, compassionate, decent and tolerant of others are grossly unqualified to be rank-and-file Trumpers.

Trump Supporters Stupid?

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