Exxe Group engages Fruci & Associates to audit designarchive AGdesignarchive audit is part of the Exxe Group growth plan for 2024 and 2025Fruci is a PCAOB-accredited auditor headquartered in Seattle,

Exxe Group Engages Fruci & Associates to Audit designarchive AG

CyberCube's enterprise intelligence layer provides insights on millions of companies globally and includes modeling on thousands of points of technology failure. The CyberCube platform was established in 2015 within Symantec and now operates as a ...

Toa Re selects CyberCube to strengthen its risk management capabilities

Shibarium has announced the launch of Shib Name Service (SNS), aiming to make digital addresses more user-friendly and secure. The development comes amid a period where Shibarium and its associated products have been under the spotlight for not leveraging the recent surge in cryptocurrency interest.

Shib Name Service launches on Shibarium to simplify and secure digital transactions

Despite a significant increase in the number of people entering the cyber field in 2023, demand is still far outpacing that supply.

The cyber workforce gap is growing

Fintel reports that on October 30, 2023, Sidoti & Co. upgraded their outlook for Cbiz (NYSE:CBZ) from Neutral to Buy . Analyst Price Forecast Suggests 14.02% Upside As of October 5, 2023, the average one-year price target for Cbiz is 58.

Sidoti & Co. Upgrades Cbiz (CBZ)

Focusing on Cloud Platform Development and AI Management to Address Pain Points for Company IT AdministratorsHSINCHU, Oct. 31, 2023 /PRNewswire/

CyberTAN Technology Launches CyberWiFi Small and Medium-Sized Business Network Products

Greater Fergus Falls (GFF) is privileged to announce that the Fergus Falls-based company WebTek has unveiled a range of cutting-edge web design and branding services. With a focus on responsive

WebTek launches innovative solutions in Fergus Falls

HID will showcase examples of end-to-end solutions that encompass readers, card personalization software, cloud-based card issuance and mobile-enabled technologies.

HID to showcase trusted identity solutions at CBORD UGC 2023

Cisco has announced a new AI strategy for Webex that will improve audio and video communication and collaboration.     Unlike AI offerings that solely focus on text or documents, Webex will use AI for real-time communications,

Cisco Webex gets AI vision

Kraken has appointed Bivu Das as its Managing Director for the UK. The popular crypto entrepreneur has more than two decades of commercial enterprise and fintech strategy development experience, and his arrival coincides with the UK making important strides towards establishing itself as a globally recognised crypto hub.

Kraken appoints crypto entrepreneur and fintech consultant Bivu Das to drive next chapter of UK growth story

Cubix

cubix

BERLIN, Germany, October 30th, 2023/Chainwire/**Europe's preeminent blockchain and Web3 assembly, the , is thrilled to announce its return to Berlin on December 4-5th, 2023. Next Block Expo (NBX) Celebrated as a grand convergence of pioneers, investors, regulators, and innovators, NBX is once again set to highlight the realm of tech-driven networking and learning in the European Web3 landscape. Reflecting on its success last year, which witnessed an impressive turnout of 2039 attendees from 64 countries, this year's NBX promises a similar magnitude. With a rich historical backdrop that began in 2022, the event's past successes included 322 investors, 140 startups, and an inspiring contingent of 113 Women in Web3. The 2023 edition boasts participation from key industry stalwarts such as Animoca Brands, represented by CEO Robby Yung, , , , , and the local powerhouse, . Their presence further underlines the expo's significance on the global stage. Coinbase Polygon Binance Internet Computer Protocol CV Labs As the official web3 media ally, will lead both pre and post-event marketing efforts, utilizing its extensive industry experience to connect the media with key event stories. MarketAcross "Our partnership with Next Block Expo underscores our commitment to elevating the blockchain narrative on a global scale. Together, we aim to spotlight the innovations and pioneers of the Web3 space, ensuring that Berlin becomes the epicenter of blockchain discourse this December." Stated Itai Elizur, COO of Market Across. In a unique twist to its venue, NBX has reserved the entire CineStar Cubix at Alexanderplatz. A nod to its successful execution in Warsaw, the cinematic experience promises attendees an immersive dive into the world of blockchain, a feature that no other crypto event currently offers. Visitors will enjoy a double treat in store. Perfectly timed to be held on a Monday and Tuesday, attendees can extend their stay and immerse themselves in Berlin's world-renowned Christmas Market over the preceding weekend. The expo garners robust local backing from Berlin such as CV Labs, Berlin Partner, Berchain, and Crypto Girls Club. Furthermore, its networking mobile app offers a premium networking experience, complete with AI-driven matchmaking, enabling over 1800+ bespoke meetings, fostering invaluable connections and partnerships. NBX's community-centric approach stands out with over 50+ Web3 communities anticipated to join hands. Their unique "community-led discussion panels" ensure the event remains a collaborative endeavor. One prominent community in Berlin, , will be organizing its traditional Glühwein event. The vibrant group will host a dedicated networking session for women in the web3 space during the event. This added touch was introduced last year and received a heartwarming reception. Crypto Girls Club Startups are in for a treat with two dedicated zones: the Startup Demo Zone and the Web3 Gaming Zone. The latter is a collaboration with the Blockchain Game Alliance. The expo's Pitch Arena also offers startups a golden opportunity to impress and secure investments, with stalwarts like Robby Yung from Animoca and Miko Matsumura from gumiCryptos in attendance. Adding to the event's excitement is the Trading Battle, sponsored by SimpleFX, where crypto traders can vie for a grand prize of 10,000 EUR by showcasing their trading prowess. And, to cap it all, an awards ceremony will spotlight and honor stellar Web3 companies across six distinct categories. Media partners for NBX 2023 include industry giants like Cointelegraph, BeInCrypto, and CryptoNews, further enhancing its visibility. Join us for what promises to be one of the defining Web3 events of 2023, offering a comprehensive year-end review of the industry's milestones. About Next Block Expo Launched in 2022, NBX is Europe's leading blockchain festival, championing innovations and fostering connections in the rapidly evolving Web3 landscape. For more details, press-related inquiries, or to secure your spot, visit . https://nextblockexpo.com Contact Barry Ben-Asher barry@marketacross.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program . here

NBX 2023 Berlin: The Forefront of Web3 Innovation in Europe Is Back

NBX 2023 বার্লিন: ইউরোপে ওয়েব3 উদ্ভাবনের অগ্রভাগ ফিরে এসেছে৷

NBX 2023 Berlin: Die Spitze der Web3-Innovation in Europa ist zurück

NBX 2023 Berlín: Vuelve la vanguardia de la innovación Web3 en Europa

NBX 2023 Berlin : l'avant-garde de l'innovation Web3 en Europe est de retour

एनबीएक्स 2023 बर्लिन: यूरोप में वेब3 इनोवेशन में सबसे आगे वापस आ गया है

NBX 2023 ベルリン: ヨーロッパにおける Web3 イノベーションの最前線が帰ってくる

NBX 2023 베를린: 유럽 Web3 혁신의 최전선이 돌아왔습니다

NBX 2023 Berlin: A vanguarda da inovação Web3 na Europa está de volta

NBX 2023 в Берлине: авангард инноваций Web3 в Европе возвращается

NBX 2023 Berlin: Avrupa'da Web3 İnovasyonunun Öncüleri Geri Döndü

NBX 2023 Berlin: Đi đầu trong đổi mới Web3 ở Châu Âu đã trở lại

NBX 2023 柏林：欧洲 Web3 创新前沿回归

Top Software Development Companies 2022 That Are Growing Fast

Top 50 App Development Companies: 50 Brands to Look Out For

When I first fell down the blockchain rabbit hole, I didn’t think I’d end up this deep. Cryptocurrencies and other Blockchain projects offer a wealth of opportunities with . extremely low barriers to entry If you want to get involved, and I mean involved beyond the fact that you just want to put some money in and magically see it grow 1000x, all you have to do is put yourself out there. I mentioned it in my last post, , but Bitcoin has only been around since 2009. “ Why I Invest In Cryptocurrency ” Even the experts in this field don’t have much of an upper hand on newcomers — what’s 8 or so years? That’s not a . even decade Beyond the low barrier to entry, we’re also at a point in cryptocurrency’s development when new types of talent are needed in the space. Lead Engineers shouldn’t be running press conferences. I’m going to write another article on “ ” this week — so I won’t delve into that topic just yet. The Problem with ICO’s With the market needing new talent, now is the perfect time to put yourself out there and grab whatever opportunity you can see. Your options are limitless. Whatever your field, it can be applied to projects in this space, and who knows — you might just end up changing the world. You don’t need to have a large amount of money to invest to get involved. IF YOU WANT TO WORK IN THE INDUSTRY CREATE VALUE I can’t explain to you how simply getting my name out in the space through networking, writing, and helping others has benefited me. The past few months have brought some great opportunities my way, I became a partner at a , started working with an — and I can trace all of these opportunities back to a single moment. Blockchain Accelerator exciting new project The moment when I decided that I wanted to contribute value to the blockchain community. A lot of people I’ve met in business have told me to never do anything for free, they’ve told me it will make people devalue my work. I disagree. My willingness to help people, for free, has brought me more benefit than anything else. If anything, it’s borderline selfish of me. The point is, reach out to some companies you’re interested in working with and offer to help. This industry is so young, and most of the companies in it are in startup mode. They can probably use some assistance, and if you offer help, they might just ask you to join the team. COMMIT TO YOUR GOAL & CREATE ACTIONABLE STEPS Not too long ago I wrote down all of my crypto related goals in a notebook; it’s sitting next to me now. Everyday, I look at this paper and write down what I can do in the next 24 hours to further myself towards these goals. Reverse engineer your goals and tackle them one day at a time, don’t get ahead of yourself. By doing this I’ve made solid steps towards achieving what I want in an alarmingly short period of time. I hope that doesn’t come off as arrogant — if anything, I’m still in disbelief at the velocity at which I’ve progressed. It’s insane. Entrepreneurship is like riding a lion. Everyone thinks, “Wow look at him he’s so brave and cool, I wish I could do that”, while the Entrepreneur thinks, “This is cool but when did I get up here and how the hell do I keep it from eating me alive”. Keep making incremental steps towards your goals, whether that be increasing your portfolio value or starting your own cryptocurrency — take it one step at a time. You might be surprised how fast you find yourself gripping the lion’s mane and wondering those same questions — contemplating how far you’ve come. CREATE A PERSONAL BRAND ONLINE This is crucial in any industry. Your brand is what people associate you with. It’s your personality, your work, your sense of humor: it’s the perception you create for yourself. I’m not going to dive too deep into this because honestly, no one can explain it better than . He’s a dear friend and the one who first taught me the importance of creating a personal brand. If you haven’t read his work, I highly suggest you check it out. Nicolas Cole Also, please do me a favor and leave a comment on one of his articles saying, “I heard Reza Jafery beat you in a typing test”. It would really make my day. WORK YOUR ASS OFF I never said it’s easy. To have what most don’t, you have to do what most won’t. You have to put in the time. Research is key, but even more than research, is sticking to your plan. Keep your goals in mind, whether that’s working with cryptocurrencies, investing, or even starting a non-profit dedicated to researching ways blockchain can positively impact the 3rd world. You just need to do it. It’s incredibly simple. If you’re willing to work smart — and focus on spending your time on activities or studies that either A) enrich your knowledge relevant to your goal, or B) make progress towards your goal — you can make it happen. Just remember that closed mouths don’t get fed. You wouldn’t believe the amount of opportunities that have come my way from simple Twitter DM’s or cold emails. Put yourself out there, figure out what you want to specialize in or be apart of, and chase it with reckless abandon. IF YOU WANT TO BE A TRADER/INVESTOR LEARN FROM YOUR MISTAKES I set off on my cryptocurrency journey halfway through 2017. I don’t talk about when I started very often because we’re in a age of weighing peoples worth in the amount of days they’ve spent peering over charts. Which is a little ridiculous. Don’t get me wrong, there are plenty of _O.G’_s whom I tip my hat to — I wouldn’t have learned as much as I have this quickly, if it weren’t for the thought leaders in this community. There is also a lot of negativity whenever someone who is , asks something that only someone who’s would ask. obviously new obviously new We should be the path for the curious, for the new investors, not them. lighting shaming Which is why I bring up my initial dalliance into cryptocurrency. I’m proud of the short length of time I’ve been involved in crypto. In less than a year, I’ve managed to see higher returns than any traditional investor could dream of. I’ve learned about , taught myself (with the help of a mentor), and even managed to get involved on a deeper level by working with the companies I mentioned earlier. new technology technical analysis The best part of it all is that I feel like I haven’t even scratched the surface. One month ago I decided I wanted to work with blockchain projects and get paid in crypto. Today, that’s a reality. Because I don’t care how long anyone has been doing this. This industry is young enough, that a few years of experience doesn’t give anyone much of a head start. A few years of advantage can be outweighed by working harder, smarter, and bringing in more value to the community than others are willing to. I started investing less than a year ago and I will outwork . you “You think that your time spent trading crypto is your ally? You merely adopted crypto. I was born in the bear market, molded by it. I didn’t see green candles until I was already a man.” I’ve been waiting for an opportunity to pull this quote out. I was baptized in the Great Bear Market of 2017 (I don’t think anyone has ever referred to it as that, but I’m going to roll with it). The first time I bought a coin, I bought Ether (ETH), the coin that fuels the Ethereum Network, at its all time high on June 6th or 7th. It was right above $300 at the time. I had been studying Ethereum for weeks, reading all about it, Bitcoin, and other blockchain projects. I was convinced Ethereum was going to change the world — but I also knew from a brief stint day trading that one should never buy into the tail-end of a uptrend. “Don’t chase green candles”, I thought. Which is investor speak for “don’t buy an uptrend that’s already started as you never know when it will stop”. It’s a part of the mantra conveyed by the famous investing quote, “buy when there’s blood on the streets”. I waited patiently for the price of Ethereum to drop. Weeks passed and the price continued to rise. Soon it was over double where I had initially considered it for investment. I panicked. I bought the top. It lost over 50% of its value the next day. I was . rekt Too stubborn to realize the loss and cash out, I decided to spend the next several months studying everything I could get my hands on regarding , , and . Blockchain Technical Analysis (TA) Investment Strategy RESEARCH I started scalping Ethereum. Selling the highs and buying the lows, using what I was learning from studying TA. I obsessed over chart patterns, lagging indicators, leading indicators, Fibonacci, Elliot wave — I fell so deep into the matrix, I forgot I was even plugged in. Soon, despite Ethereum still being 50% of the value I had bought into, I was back at my breakeven investment. I had doubled the amount of Ethereum I initially owned. I started investing in ICO’s. EOS, BAT, Bancor, Tezos — I was doing a shamefully small amount of research, but it being the height of the ICO craze, I ended up doing pretty well. Making a decent percentage gain on the ICO’s I had put my Ethereum into, I started getting into Altcoins- which is when my portfolio really started to explode. While I may have only been around for under a year — I like to think I was forced into the accelerated program — where I had to either learn fast, or lose everything. It wasn’t my initial strategy but circumstances forced me into it, and now I am glad. Most of what I’ve learned, the knowledge that allowed me to recoup those losses, has come as a result of the losses occurring in the first place. . It tears away from us all but the things that cannot be torn, so that we see ourselves as we really are.” — Arthur Golden “Adversity is like a strong wind You’re not too late to get into cryptocurrency; this market is just getting started. Furthermore, you have a better chance of outworking and surpassing your peers in this market because it’s 24/7. If you’re willing to put in the time and work harder than everyone else, you will come out on top. — — — — — — — — — — — — — If you want to learn more about trading, you can find more of my cryptocurrency articles below _A step by step guide on how to begin the process of investing in cryptocurrency._hackernoon.com A Complete Beginners Guide to Investing in Cryptocurrency _Besides crying, screaming, and other self-destructive behavior._hackernoon.com 2 Things to Do While the Cryptocurrency Market Falls _Expensive lessons I’ve learned in the past year._hackernoon.com THE 10 CRYPTO COMMANDMENTS

Looking For Jobs After College? Choose Blockchain Over Cubicles

AI image manipulation tools have come a long way in the last few years. It’s quite easy nowadays to create beautiful, stylistic portraits of people and animals. But AI models are highly unpredictable. So most tools rely on the user (or some human) to weed out bad generations and find the best one. This is the classic “human in the loop” problem that often plagues AI tools. Turns out, with some clever tricks and careful tuning, you can build a pipeline that reliably works for the vast majority of pets. It is extremely resilient to variations in pose, lighting etc. In this post, I’ll dive deeper into how it works and all the neat little tricks that enable this. Here’s some examples of portraits you can generate with this pipeline. Let’s get started! The Key Ingredients IPAdapter The crux of the technique is the IPAdapter. It’s essentially a way to prompt a model using an image instead of text (it literally stands for Image Prompt Adapter). So instead of taking a text embeddings, it uses an image to get the embeddings. This is super powerful because it can accurately capture the style and structure in an image directly, instead of someone having to translate what they want from an image into text. In our ComfyUI IPAdapter node, we have two inputs, one for style and one for composition. We use a watercolor painting image for style, and feed the original image for composition (since we want to keep the same composition, but change the style). ControlNets Now that we have a way to keep the style consistent, we can turn our attention to faithfully representing the pet. IPAdapters bias heavily towards image quality, and image likeness suffers. So we need to do something to be able to keep the output looking like the same object as the input. The answer to that is ControlNet. ControlNets are another cool technique to provide additional constraints to the image generation process. Using a ControlNet, you can specify constraints in the form of edges, depth, human pose etc. A great feature of ControlNets is that they can be stacked. So you can have an edge controlnet that forces the output to have similar edges as the input, and also a depth controlnet that forces the output to have a similar depth profile. And that’s exactly what I do here. It turns out that controlnets are not just stackable with other controlnets, but they can also work in tandem with IPAdapter mentioned above. And so those are the tools we’ll use for this - IPAdapter with a source image to get the style, ControlNet with canny edge detector to constrain based on edges, and controlnet with depth to constrain based on depth profile. That’s really all you need in terms of techniques, but what I’ve learnt from experimenting with machine learning for production is that a lot of the value of these things comes from taking the time to tune all your parameters perfectly. So I want to talk a little bit about that. Finetuning Have you ever found a model with amazing example outputs, tried it on your own images and realized they look terrible? Often, the only reason for that is that the model hasn’t been finetuned for your images. It can feel like a complete blocker sometimes, because where do we even start with finetuning a pre-trained model?! Here’s what I’ve learnt about the topic. This extends beyond this particular pipeline too, so it’s good knowledge to have generally. ControlNets ControlNets are very powerful, so you have to be careful to control their effect on the output. Luckily, the custom nodes in ComfyUI let us reduce the effect of controlnets, and also stop their effects at any point. So we set the edge detector to 75% strength and make it stop influencing the generation at 75% and the depth detector stops at 30%. The reason we stop them at the end rather than just reducing their strength is that this allows the network to “clean up” any artifacts caused by them in the last few steps without being constrained externally. It just makes the image prettier. So it’s using just it’s training data to make things look as nice as possible, ignoring the edges and depth. The other big thing to tune is the KSampler. There’s a lot of little things going on here, but I’ll just briefly touch on some of them: KSampler - Steps First we have the steps. This is literally the number of times the model will repeatedly run. The more it runs, the more stylized your output gets, and the further away it will get from the original image. The effects of this are often not that obvious, so it’s worth playing around with it. KSampler - CFG Then there’s CFG. I honestly don’t fully understand this, but from its name - Classifier Free Guidance - I’m assuming it controls how much the model is allowed to modify the image unconstrained by the prompts in order to make it look better. This also affects the output image significantly, so is worth playing around with. Denoise Another neat little trick I use here is to start the image generation process with the input image  instead of a blank image, and keep the denoising low. This ensures that the output will look similar in terms of colors and textures. Text Prompt One thing you’ll notice I never mentioned is the text prompt until now! Surprising, since that’s usually the only conditioning that you normally provide to diffusion models. But in this case, we have so many other ways of conditioning that the text prompts usually just get in the way. So in this case, the prompt is literally just “a dog”. I do use the text prompt a little more in some of the more stylized portraits, like the chef dog or the one in the bathroom. Adding accessories In essence, this is more or less just an “AI Filter” that converts images into watercolor portraits. But it’s amazing how flexible this can be. For example, to make the portrait of the dog taking a shower, I literally just put images together in an image editing tool and used that as the input! The model takes care of unifying everything and cleaning up the image. Conclusion Now remove the background, add some text and Boom! You have a beautiful portrait that captures all the little details of your pet, and always paints them in the best light! Huge thanks to @cubiq for his work on ComfyUI nodes and his awesome explainer series on youtube! Most of this pipeline was built and explained by him in his videos. If you want a pet portrait without going through all this trouble, consider buying one from here: pawprints.pinenlime.com! AI image manipulation tools have come a long way in the last few years. It’s quite easy nowadays to create beautiful, stylistic portraits of people and animals. But AI models are highly unpredictable. So most tools rely on the user (or some human) to weed out bad generations and find the best one. This is the classic “human in the loop” problem that often plagues AI tools. Turns out, with some clever tricks and careful tuning, you can build a pipeline that reliably works for the vast majority of pets. It is extremely resilient to variations in pose, lighting etc. In this post, I’ll dive deeper into how it works and all the neat little tricks that enable this. Here’s some examples of portraits you can generate with this pipeline. Let’s get started! The Key Ingredients IPAdapter The crux of the technique is the IPAdapter. It’s essentially a way to prompt a model using an image instead of text (it literally stands for Image Prompt Adapter). So instead of taking a text embeddings, it uses an image to get the embeddings. This is super powerful because it can accurately capture the style and structure in an image directly, instead of someone having to translate what they want from an image into text. In our ComfyUI IPAdapter node, we have two inputs, one for style and one for composition. We use a watercolor painting image for style, and feed the original image for composition (since we want to keep the same composition, but change the style). ControlNets Now that we have a way to keep the style consistent, we can turn our attention to faithfully representing the pet. IPAdapters bias heavily towards image quality, and image likeness suffers. So we need to do something to be able to keep the output looking like the same object as the input. The answer to that is ControlNet. ControlNets are another cool technique to provide additional constraints to the image generation process. Using a ControlNet, you can specify constraints in the form of edges, depth, human pose etc. A great feature of ControlNets is that they can be stacked. So you can have an edge controlnet that forces the output to have similar edges as the input, and also a depth controlnet that forces the output to have a similar depth profile. And that’s exactly what I do here. It turns out that controlnets are not just stackable with other controlnets, but they can also work in tandem with IPAdapter mentioned above. And so those are the tools we’ll use for this - IPAdapter with a source image to get the style, ControlNet with canny edge detector to constrain based on edges, and controlnet with depth to constrain based on depth profile. That’s really all you need in terms of techniques, but what I’ve learnt from experimenting with machine learning for production is that a lot of the value of these things comes from taking the time to tune all your parameters perfectly. So I want to talk a little bit about that. Finetuning Have you ever found a model with amazing example outputs, tried it on your own images and realized they look terrible? Often, the only reason for that is that the model hasn’t been finetuned for your images. It can feel like a complete blocker sometimes, because where do we even start with finetuning a pre-trained model?! Here’s what I’ve learnt about the topic. This extends beyond this particular pipeline too, so it’s good knowledge to have generally. ControlNets ControlNets are very powerful, so you have to be careful to control their effect on the output. Luckily, the custom nodes in ComfyUI let us reduce the effect of controlnets, and also stop their effects at any point. So we set the edge detector to 75% strength and make it stop influencing the generation at 75% and the depth detector stops at 30%. The reason we stop them at the end rather than just reducing their strength is that this allows the network to “clean up” any artifacts caused by them in the last few steps without being constrained externally. It just makes the image prettier. So it’s using just it’s training data to make things look as nice as possible, ignoring the edges and depth. The other big thing to tune is the KSampler. There’s a lot of little things going on here, but I’ll just briefly touch on some of them: KSampler - Steps First we have the steps. This is literally the number of times the model will repeatedly run. The more it runs, the more stylized your output gets, and the further away it will get from the original image. The effects of this are often not that obvious, so it’s worth playing around with it. KSampler - CFG Then there’s CFG. I honestly don’t fully understand this, but from its name - Classifier Free Guidance - I’m assuming it controls how much the model is allowed to modify the image unconstrained by the prompts in order to make it look better. This also affects the output image significantly, so is worth playing around with. Denoise Another neat little trick I use here is to start the image generation process with the input image  instead of a blank image, and keep the denoising low. This ensures that the output will look similar in terms of colors and textures. Text Prompt One thing you’ll notice I never mentioned is the text prompt until now! Surprising, since that’s usually the only conditioning that you normally provide to diffusion models. But in this case, we have so many other ways of conditioning that the text prompts usually just get in the way. So in this case, the prompt is literally just “a dog”. I do use the text prompt a little more in some of the more stylized portraits, like the chef dog or the one in the bathroom. Adding accessories In essence, this is more or less just an “AI Filter” that converts images into watercolor portraits. But it’s amazing how flexible this can be. For example, to make the portrait of the dog taking a shower, I literally just put images together in an image editing tool and used that as the input! The model takes care of unifying everything and cleaning up the image. Conclusion Now remove the background, add some text and Boom! You have a beautiful portrait that captures all the little details of your pet, and always paints them in the best light! Huge thanks to @cubiq for his work on ComfyUI nodes and his awesome explainer series on youtube! Most of this pipeline was built and explained by him in his videos. If you want a pet portrait without going through all this trouble, consider buying one from here: pawprints.pinenlime.com!

Make Masterpiece Pet Portraits with ComfyUI

ComfyUI এর সাথে মাস্টারপিস পোট্রেট পোট্রেট তৈরি করুন

Erstellen Sie meisterhafte Tierporträts mit ComfyUI

Crea retratos de mascotas de gran calidad con ComfyUI

Créez des portraits d'animaux de compagnie de qualité avec ComfyUI

ComfyUI के साथ पालतू जानवरों के बेहतरीन चित्र बनाएं

ComfyUI で傑作ペットポートレートを作ろう

ComfyUI로 걸작 애완동물 초상화 만들기

Crie retratos de animais de estimação de obras-primas com ComfyUI

Создавайте шедевральные портреты домашних животных с помощью ComfyUI

ComfyUI ile Başyapıt Evcil Hayvan Portreleri Yapın

Tạo ảnh chân dung thú cưng tuyệt đẹp với ComfyUI

使用 ComfyUI 制作宠物肖像杰作

Interwoven Realms: The Dance of Reason and Creativity in Human Understanding

Xinyu Li, University of Washington. Table of Links Abstract and Introduction
2. Method and 2.1. G is constant
2.2. Linear Relation between G and I
2.3. Nonlinear Quadratic Relation between G and I
3. Results
4. Conclusion and References 4. Conclusion Future researchers can investigate other nonlinear relationships between government spending and national income such as the case when government spending increases cubically with the national income. References: Cate, Thomas. An Encyclopedia of Keynesian Economics. Edward Elgar Publishing Limited, 2013.


Feiwel, George R. Samuelson and Neoclassical Economics. 1982, pp. xiii–x358.


Jespersen, Jesper, et al. Teaching Post Keynesian Economics. Edward Elgar Publishing, 2013, https://doi.org/10.4337/9781782547006.


Bolles, Albert Sidney. Money, Banking, and Finance, by Albert S. Bolles. American book company, 1903.


Jordan, Dominic, and Peter Smith. Nonlinear Ordinary Differential Equations: An Introduction for Scientists and Engineers. Oxford University Press, Incorporated, 2007. 6. Strogatz, Steven H. Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering. CRC Press, 2015, https://doi.org/10.1201/9780429492563. This paper is available on arxiv under CC 4.0 license. Xinyu Li, University of Washington. Xinyu Li, University of Washington. Table of Links Abstract and Introduction 2. Method and 2.1. G is constant 2.2. Linear Relation between G and I 2.3. Nonlinear Quadratic Relation between G and I 3. Results 4. Conclusion and References Abstract and Introduction Abstract and Introduction 2. Method and 2.1. G is constant 2. Method and 2.1. G is constant 2.2. Linear Relation between G and I 2.2. Linear Relation between G and I 2.3. Nonlinear Quadratic Relation between G and I 2.3. Nonlinear Quadratic Relation between G and I 3. Results 3. Results 4. Conclusion and References 4. Conclusion and References 4. Conclusion Future researchers can investigate other nonlinear relationships between government spending and national income such as the case when government spending increases cubically with the national income. References: Cate, Thomas. An Encyclopedia of Keynesian Economics. Edward Elgar Publishing Limited, 2013. Feiwel, George R. Samuelson and Neoclassical Economics. 1982, pp. xiii–x358. Jespersen, Jesper, et al. Teaching Post Keynesian Economics. Edward Elgar Publishing, 2013, https://doi.org/10.4337/9781782547006. Bolles, Albert Sidney. Money, Banking, and Finance, by Albert S. Bolles. American book company, 1903. Jordan, Dominic, and Peter Smith. Nonlinear Ordinary Differential Equations: An Introduction for Scientists and Engineers. Oxford University Press, Incorporated, 2007. Cate, Thomas. An Encyclopedia of Keynesian Economics. Edward Elgar Publishing Limited, 2013. Cate, Thomas. An Encyclopedia of Keynesian Economics. Edward Elgar Publishing Limited, 2013. Feiwel, George R. Samuelson and Neoclassical Economics. 1982, pp. xiii–x358. Feiwel, George R. Samuelson and Neoclassical Economics. 1982, pp. xiii–x358. Jespersen, Jesper, et al. Teaching Post Keynesian Economics. Edward Elgar Publishing, 2013, https://doi.org/10.4337/9781782547006. Jespersen, Jesper, et al. Teaching Post Keynesian Economics. Edward Elgar Publishing, 2013, https://doi.org/10.4337/9781782547006 . https://doi.org/10.4337/9781782547006 Bolles, Albert Sidney. Money, Banking, and Finance, by Albert S. Bolles. American book company, 1903. Bolles, Albert Sidney. Money, Banking, and Finance, by Albert S. Bolles. American book company, 1903. Jordan, Dominic, and Peter Smith. Nonlinear Ordinary Differential Equations: An Introduction for Scientists and Engineers. Oxford University Press, Incorporated, 2007. Jordan, Dominic, and Peter Smith. Nonlinear Ordinary Differential Equations: An Introduction for Scientists and Engineers. Oxford University Press, Incorporated, 2007. 6. Strogatz, Steven H. Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering. CRC Press, 2015, https://doi.org/10.1201/9780429492563. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Bifurcation Analysis of the Keynesian Cross Model: Conclusion and References

Inside Job: The Subtle Ways Employees Bypass Security Measures

কাজের ভিতরে: সূক্ষ্ম উপায় কর্মচারীরা নিরাপত্তা ব্যবস্থা বাইপাস করে

Inside Job: Die subtilen Methoden, mit denen Mitarbeiter Sicherheitsmaßnahmen umgehen

Trabajo interno: las formas sutiles en que los empleados eluden las medidas de seguridad

Inside Job : les façons subtiles dont les employés contournent les mesures de sécurité

अंदरूनी काम: कर्मचारी सुरक्षा उपायों को नजरअंदाज करने के सूक्ष्म तरीके

内部犯行：従業員がセキュリティ対策を巧妙に回避する方法

Inside Job: 직원들이 보안 조치를 우회하는 미묘한 방법

Trabalho interno: as maneiras sutis pelas quais os funcionários contornam as medidas de segurança

Внутренняя работа: тонкие способы, которыми сотрудники обходят меры безопасности

İşin İçinde: Çalışanların Güvenlik Önlemlerini Atlamanın İnce Yolları

Inside Job: Những cách tinh tế để nhân viên vượt qua các biện pháp an ninh

内部工作：员工绕过安全措施的巧妙方法

Being authentic has always been paramount. However, today, in June 2024, when even baby toys have embedded AI, and every piece of software is crammed with AI, what the hell does “being authentic” really mean? You see it everywhere: emails, messages, posts, comments, and replies. Don’t have the time? Don’t know what to say? Afraid of saying the wrong thing? Want to say it the right way? Don’t worry; AI is here to help. Ask AI. Enhance it with AI. Write it with AI. Say it with AI. Just waste away at your capitalistic cubicle hellhole while “your dating ‘AI concierge’ dates hundreds of other people’s ‘concierges,’” as Bumble’s Whitney Wolfe Herd puts it! Why not let AI live your life for you while you’re at it? Don’t worry; it will give you a summary of what you should feel like at the end of the day at 2x speed so you do not waste any time actually living! The ubiquity and ease of using AI tools have led to a bizarre paradox: the more everyone tries to sound unique, the more they sound the same! Even those who don’t use AI and seem a bit more unique than others are often following someone else’s blueprint on how to be themselves! The little hope we got as people started to leave corporate speak behind and learned how to break through the tyranny of the algorithm is now drowned by the AI tsunami taking over every aspect of our lives. It’s giving rise to a new normal where everything we read or see is just good enough to trick us into thinking it’s original. A whole new world of fake personas swimming aimlessly in an endless sea of bland communication. Authored, filtered, and managed by machines trained to simulate intelligence just enough to make us believe there is a “there” when it’s all just an AI mirage. But this is not about purity; it’s about authenticity. Sure, use templates, copy the next guy who’s getting lots of likes, ask ChatGPT to write it for you, and get your team’s approval, as long as there is more of you in whatever you put out into the world. Even if you come off as boring, at least you’re boring because you’re being your boring self. Meet Dominic Vogel, a cyber risk expert who introduces himself as a “Positive Troll” and “Associated with Happiness.” He’s gained a reputation for his outrageously positive, creative, and uplifting comments, usually packed with as many emojis and exclamation points as he can sneak in! “Kady!!! You’re the rainbow sprinkles to ice cream, the happy tunes to any morning playlist, and the disco-dancing robot to a party crew!!!!!!! Your post is a confetti cannon brightening the landscape!!!
​​Tessa!!! You’re a marvelous mastermind of magnificent musings!!!!!! Your post is a plethora of positivity, a parade of passion, and a pyramid of pure awesomeness! Keep shining your sparkling starlight!!!!
You literally are the most AMAZING person on the planet!!!!!!! “Some people think the comments are generated by AI because no human would speak like that,” he shared with me while we were having lunch a few weeks back. We burst out laughing!! Technically, they’re right. No human speaks like that except him. That’s who he is in real life. The moment you meet him, you’ll feel the palpable energy of his joy, empathy, and authentic presence. He is his comments, his words, and whatever comes through his LinkedIn posts is who he really is in real life. Copycats can generate leads, results, and money while pretending to be someone else. But people living the truth of who they really build their businesses while forging timeless connections, making the hard work lasting relationships demand, and architecting a life worth living. In one of Dominic’s latest client interactions, the personal assistant to the CEO insisted they “must work with Dominic because his emails are better than therapy!” As AI continues to flatten skill levels and give everyone content-generation superpowers, what matters most is no longer how good you are. As algorithms fill our feeds with generative content, we will seek real moments of human touch and shared experiences beyond the many layers of AI polish. A real person with a distinct way of communicating, tone of voice, and a personal presence exists within each of us. All we need to do is give them permission. The magic may take time, but as we give permission for our authentic selves to show up, our circle of influence and impact will change. The people who were there for the digital double we made up while trying to sound good enough will be replaced with true engagement and real interactions with real people who are here for the person we really are. No matter how uncomfortable we may feel when all the made-up engagement is gone, we must remember there are millions of people to meet and know out there! So why would we ever want to be stuck dealing with people we do not like or care about? We must set them free by setting ourselves free to be who we really are. With our real selves at the core of everything we do, we post and message people as if we are speaking to them in real life, and we are remembered, like the great Maya Angelou said, not for what we said, but how we made people feel. Being authentic has always been paramount. However, today, in June 2024, when even baby toys have embedded AI, and every piece of software is crammed with AI, what the hell does “being authentic” really mean? You see it everywhere: emails, messages, posts, comments, and replies. Don’t have the time? Don’t know what to say? Afraid of saying the wrong thing? Want to say it the right way? Don’t worry; AI is here to help. Ask AI. Enhance it with AI. Write it with AI. Say it with AI. Just waste away at your capitalistic cubicle hellhole while “your dating ‘AI concierge’ dates hundreds of other people’s ‘concierges,’ ” as Bumble’s Whitney Wolfe Herd puts it! ‘AI concierge’ ‘concierges,’ Why not let AI live your life for you while you’re at it? Don’t worry; it will give you a summary of what you should feel like at the end of the day at 2x speed so you do not waste any time actually living! The ubiquity and ease of using AI tools have led to a bizarre paradox: the more everyone tries to sound unique, the more they sound the same! Even those who don’t use AI and seem a bit more unique than others are often following someone else’s blueprint on how to be themselves! The little hope we got as people started to leave corporate speak behind and learned how to break through the tyranny of the algorithm is now drowned by the AI tsunami taking over every aspect of our lives. It’s giving rise to a new normal where everything we read or see is just good enough to trick us into thinking it’s original. A whole new world of fake personas swimming aimlessly in an endless sea of bland communication. Authored, filtered, and managed by machines trained to simulate intelligence just enough to make us believe there is a “there” when it’s all just an AI mirage. But this is not about purity; it’s about authenticity. Sure, use templates, copy the next guy who’s getting lots of likes, ask ChatGPT to write it for you, and get your team’s approval, as long as there is more of you in whatever you put out into the world. Even if you come off as boring, at least you’re boring because you’re being your boring self. Meet Dominic Vogel , a cyber risk expert who introduces himself as a “Positive Troll” and “Associated with Happiness.” He’s gained a reputation for his outrageously positive, creative, and uplifting comments, usually packed with as many emojis and exclamation points as he can sneak in! Dominic Vogel “Kady!!! You’re the rainbow sprinkles to ice cream, the happy tunes to any morning playlist, and the disco-dancing robot to a party crew!!!!!!! Your post is a confetti cannon brightening the landscape!!! ​​Tessa!!! You’re a marvelous mastermind of magnificent musings!!!!!! Your post is a plethora of positivity, a parade of passion, and a pyramid of pure awesomeness! Keep shining your sparkling starlight!!!! You literally are the most AMAZING person on the planet!!!!!!! “Kady!!! You’re the rainbow sprinkles to ice cream, the happy tunes to any morning playlist, and the disco-dancing robot to a party crew!!!!!!! Your post is a confetti cannon brightening the landscape!!! ​​Tessa!!! You’re a marvelous mastermind of magnificent musings!!!!!! Your post is a plethora of positivity, a parade of passion, and a pyramid of pure awesomeness! Keep shining your sparkling starlight!!!! You literally are the most AMAZING person on the planet!!!!!!! “Some people think the comments are generated by AI because no human would speak like that,” he shared with me while we were having lunch a few weeks back. We burst out laughing!! Technically, they’re right. No human speaks like that except him. That’s who he is in real life. The moment you meet him, you’ll feel the palpable energy of his joy, empathy, and authentic presence. He is his comments, his words, and whatever comes through his LinkedIn posts is who he really is in real life. Copycats can generate leads, results, and money while pretending to be someone else. But people living the truth of who they really build their businesses while forging timeless connections, making the hard work lasting relationships demand, and architecting a life worth living. In one of Dominic’s latest client interactions, the personal assistant to the CEO insisted they “must work with Dominic because his emails are better than therapy!” As AI continues to flatten skill levels and give everyone content-generation superpowers, what matters most is no longer how good you are. As algorithms fill our feeds with generative content, we will seek real moments of human touch and shared experiences beyond the many layers of AI polish. A real person with a distinct way of communicating, tone of voice, and a personal presence exists within each of us. All we need to do is give them permission. The magic may take time, but as we give permission for our authentic selves to show up, our circle of influence and impact will change. The people who were there for the digital double we made up while trying to sound good enough will be replaced with true engagement and real interactions with real people who are here for the person we really are. No matter how uncomfortable we may feel when all the made-up engagement is gone, we must remember there are millions of people to meet and know out there! So why would we ever want to be stuck dealing with people we do not like or care about? We must set them free by setting ourselves free to be who we really are. With our real selves at the core of everything we do, we post and message people as if we are speaking to them in real life, and we are remembered, like the great Maya Angelou said, not for what we said, but how we made people feel.

Finding Authenticity Amidst The AI Mirage

এআই মিরাজের মধ্যে সত্যতা সন্ধান করা

Authentizität inmitten der KI-Fata Morgana finden

Encontrar autenticidad en medio del espejismo de la IA

Trouver l'authenticité au milieu du mirage de l'IA

एआई मृगतृष्णा के बीच प्रामाणिकता खोजना

AIの幻想の中で本物を見つける

AI 신기루 속에서 진정성을 찾다

Encontrando autenticidade em meio à miragem da IA

В поисках подлинности среди миража искусственного интеллекта

Yapay Zeka Serabının Ortasında Orijinalliği Bulmak

Tìm kiếm tính xác thực giữa ảo ảnh AI

在人工智能幻象中寻找真实性

Deep Neural Networks to Detect and Quantify Lymphoma Lesions: Materials and Methods

ডিপ নিউরাল নেটওয়ার্ক লিম্ফোমা ক্ষত সনাক্ত এবং পরিমাপ করার জন্য: উপাদান এবং পদ্ধতি

Tiefe neuronale Netzwerke zur Erkennung und Quantifizierung von Lymphomläsionen: Materialien und Methoden

Redes neuronales profundas para detectar y cuantificar lesiones de linfoma: materiales y métodos

Réseaux de neurones profonds pour détecter et quantifier les lésions de lymphome : matériels et méthodes

लिम्फोमा घावों का पता लगाने और मात्रा निर्धारित करने के लिए डीप न्यूरल नेटवर्क: सामग्री और विधियाँ

リンパ腫病変を検出し定量化するディープニューラルネットワーク：材料と方法

림프종 병변을 검출하고 정량화하기 위한 심층 신경망: 재료 및 방법

Redes Neurais Profundas para Detectar e Quantificar Lesões de Linfoma: Materiais e Métodos

Глубокие нейронные сети для обнаружения и количественной оценки поражений лимфомой: материалы и методы

Lenfoma Lezyonlarını Tespit Etmek ve Ölçmek İçin Derin Sinir Ağları: Malzemeler ve Yöntemler

Mạng lưới thần kinh sâu để phát hiện và định lượng tổn thương ung thư hạch: Vật liệu và phương pháp

深度神经网络检测和量化淋巴瘤病变：材料和方法

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