Coala blockchain workshops for sale
Hemp: What other plant can be transformed into a medicine, paper, textiles , clothing, biodegradable plastics, paint, insulation, biofuel, food, or animal feed? For 10, years, hemp has been woven into useful products. The Farm is soon to be a center for thriving hemp production. Workshop leader Josh West takes you on a tour through history, green house and the many uses of this versatile plant. DTube is a decentralized video platform that utilizes the Blockchain and P2P technology.
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Coala blockchain workshops for sale
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- Blockchainworkshops Coupons, Promo & Discount Codes for January 2022
- Bitcoin: Ringing the Bell for a New Asset Class
- Blockchain for Law and encounter with Cali lady-boss
- Invisible Economy
- Hemp: The History and Practice
- Decentralized Autonomous Artists
- A Review on Blockchain Technology and Blockchain Projects Fostering Open Science
- Blockchains for Artificial Intelligence
- Crypto Market Caps – Prices, Charts, All-time Highs – Reviews and Details, Coin Ratings
Blockchainworkshops Coupons, Promo & Discount Codes for January 2022
Here are the slides. A key piece was the ability to gather and learn on mountains of data, which pulled error rates past the success line. In short, big data has transformed AI , to an almost unreasonable level. Blockchain technology could transform AI too , in its own particular ways.
Some applications of blockchains to AI are mundane, like audit trails on AI models. All of them are opportunities. This article will explore these applications. Famous blue ocean examples are Wii for video game consoles compromise raw performance, but have new mode of interaction , or Yellow Tail for wines ignore the pretentious specs for wine lovers; make wine more accessible to beer lovers.
By traditional database standards, traditional blockchains like Bitcoin are terrible: low throughput, low capacity, high latency, poor query support, and so on. People inspired by Bitcoin were happy to overlook the traditional database-centric shortcomings, because these new benefits had potential to impact industries and society at large in wholly new ways. But most real-world AI works on large volumes of data, such as training on large datasets or high-throughput stream processing.
So for applications of blockchain to AI, you need blockchain technology with big-data scalability and querying. You no longer need to compromise on the the benefits of traditional big-data databases in order to have the benefits of blockchains. Having blockchain tech that scales unlocks its potential for AI applications. These blockchain benefits lead to the following opportunities for AI practitioners:. There are almost surely more ways that blockchains can help AI.
Also, there are many ways that AI can help blockchains, such as mining blockchain data e. Silk Road investigation. Here, I will describe how much of modern AI leverages copious quantities of data for its impressive results. When I started doing AI research in the 90s, a typical approach was:. Most AI work was still in academia, though there were real-world applications too.
In my experience, it was like this in many sub-fields of AI, including neural networks, fuzzy systems remember those? In my first published paper , I proudly showed how my freshly-invented algorithm had the best results compared to state-of-the-art neural networks, genetic programming, and more — on a small fixed dataset. But, the world shifted. In , Microsoft researchers Banko and Brill released a paper with remarkable results.
First, they described how most work in their domain of natural language processing was on less than a million words — small datasets. So far, no surprises. But then Banko and Brill showed something remarkable: as you added more data — not just a bit more data but orders of magnitude more data — and kept the algorithms the same, then the error rates kept going down, by a lot.
Moreover, the best-performing algorithms were the simplest; and the worst algorithm was the fanciest. Boring old perceptrons from the s were beating state-of-the-art techniques. This hit the AI field like an atom bomb. The race was on to gather way more data. It takes significant effort to get mountains of good data. If you have the resources, you can get data.
Sometimes you can even lock up data. In this new world, data is a moat, and AI algorithms a commodity. Once you understand these dynamics, specific actions have simple explanations.
See here. My own coming-of-age as an AI researcher was similar. It happened in my second company, Solido present , as well, as we pivoted from fancier modeling approaches to super-simple but radically scalable ML algorithms like FFX ; and once again was un-boring as our users pulled us from variables to ,, and from million Monte Carlo samples to 10 trillion effective samples. Even BigchainDB, the product of my third and current company, emerged from the need for scale present.
Zoom in on features, zoom up on scale. AI loves data. The more data, the better the models. Yet data is often siloed, especially in this new world where data can be a moat. But blockchains encourage data sharing among traditional silos, if there is enough up-front benefit. I give more benefits later on. This data sharing might happen within an enterprise e. Enemies sharing their data to feed an AI.
Which leads to a qualitatively new model, from which you can glean new insights and have new business applications. There are four trusted diamond certification labs on the planet depending who you ask, of course:.
Your false positive rate would make your system unusable. Consider instead if blockchains catalyze all four certification labs to share their data. Any incoming diamond, for example seen on eBay, would be run through the system and be compared to this all-data one-class classifier.
The classifier can detect legitimate fraud and avoid false positives, therefore lowering the fraud rate, to benefit of insurance providers and certification labs. This could be simply framed as a lookup, i.
But using AI improves it further, for example by predicting price based on color, carats, etc. An appropriate token-incentive scheme in a decentralized system could incentivize datasets to get labeled that could not be previously labeled, or labeled in a cost-effective fashion. This would be basically a decentralized Mechanical Turk. With new labels we get new datasets; we train on the new datasets to get new models.
A token-incentive scheme could lead to direct data input from IoT devices. The devices control the data and can exchange it for assets, such as energy.
Once again, this new data can lead to new models Thanks to Dimi de Jonghe for these last two examples. Hoard vs. The technology driver is better models or new models, but this driver must lead to business benefit. There are more; it requires creative business design. Centralized vs. Even if some organizations decide to share, they could share without needing blockchain technology. For example, they could simply pool it into an S3 instance and expose the API among themselves.
But in some cases, decentralized gives new benefits. This was a key stumbling block a few years back when the music labels tried to work together for a common registry. I elaborate on this below. Thanks to Adam Drake for drawing extra attention to the hoard-vs-share tension.
Planetary-level data sharing is potentially the most interesting level. IPDB is structured data on a global scale, rather than piecemeal. So, what does it look like when we have data sharing with a planet-scale shared database service like IPDB? We have a couple points of reference. From simple APIs for the weather or network time, to financial data like stocks and currencies. Bloomberg x Without worrying that there was a single choke point controlled by a single entity.
But we can oraclize it all. Decentralized Bloomberg is just the start. Overall, we get a whole new scale for diversity of datasets and data feeds. Therefore, we have qualitatively new data. Planetary level structured data. With the models and from the models, we will get qualitatively new insights. But, they will emerge! Same thing for testing data.
Garbage in, garbage out. Think Volkswagen emissions scandal. What about live usage, running the model against live input data? What about the model predictions yhat? Data wants reputation too.
Blockchain technology can help. Provenance in building models:. We get provenance in both building the models, and applying them. And we can have chains of this. Models of models, just like in semiconductor circuit design. Models all the way down.
Bitcoin: Ringing the Bell for a New Asset Class
Learn More. Vinay Gupta delivers a talk on the importance of the way one presents an idea. Vinay Gupta presents on cypherpunk's history, it's failure and Ethereum's success. He is inventor of the hexayurt.
Blockchain for Law and encounter with Cali lady-boss
A roundtable for regulators, designed to address the significant uncertainty about the regulatory treatment of digital currencies, such as Bitcoin, and blockchain technology will be a key feature of the upcoming international blockchain workshops to be staged in Sydney in December. Thanks Sam! Best article I've read in a little while :. NetComm was given an early Mac by Apple in I set about developing a NetComm program for it, and[…]. A partial victory indeed. Meanwhile Julian Assange is still stuck in gaol while lawyers and activists feast on his discomfort. Yes indeed, unwelcome scam calls are on the rise! Subscribe to Newsletter Advertise. Subscribe to this RSS feed.
Invisible Economy
Stern, Distribu7ve 1. The value represented by the bits is in ideas, which by nature are intangible. Intellectual property IP is a set of legal tools by which creators, connectors, and collectors may manage rights to ideas by claiming those rights, and transferring or assigning rights to access, publish, distribute, use, or build upon the ideas. Copyright is perhaps the best known, and generally refers to original works by an author. These authored works include not only wrisng but nearly all other creative works, such as photography, filmmaking, painsng, music, souware source code, and in some circumstances, even the contents of databases.
Hemp: The History and Practice
These organisations are successful symbolic transmutations of the city, bringing to the negotiating table former drug dealers, the police, the government, bankers, the media and the university. They may occasionally be used by corporations but proceed through invention, hits and misses, creating possibilities for the appearance of new social actors and movements. Once we understand that favelas are part of the city, we can also understand that they are historical formations and will eventually be deemed similar to Middle Age citadels — archives and living environments of a phase of capitalism. These lives- territories are exploding beyond their boundaries and might one day overtake the entire city with their inventions: a Favela-City. Iwan Baan — ness. The time of work is intermingled with the time of life.
Decentralized Autonomous Artists
From ICOs to intellectual property; from provenance tracking to land and asset registration; and from interbank clearing to supply chain optimization. Blockchains will be everywhere. At least, if one is to believe the popular press and the price of bitcoin. In light of the increasingly bold predictions concerning the potential of blockchain technologies to transform traditional industries and business models, it is necessary to take a step back and re-evaluate the most popular claims. Is the technology ready for mainstream adoption? Will it solve legal problems or create an array of new ones? Are decentralized systems inherently better than centralized ones? More importantly, can the law in its present state accommodate blockchain technologies or is a legal revolution inevitable?
A Review on Blockchain Technology and Blockchain Projects Fostering Open Science
Hester M. Peirce was appointed by President Donald J. Trump to the U.
Blockchains for Artificial Intelligence
RELATED VIDEO: Panel: Blockchains \u0026 Applications - COALA's Blockchain Workshops - Hong Kong 2015A Schelling or Focal Point is a solution people intend to use in the absence of communication, because it seems natural, special or relevant. Schelling Points Are Everywhere. Before mobile phones and the web, Schelling Points played a key role on how we self-organised locally. Churches, community centers, and bars would all serve as a Schelling Point.
Crypto Market Caps – Prices, Charts, All-time Highs – Reviews and Details, Coin Ratings
Listen to a podcast, please open Podcast Republic app. Available on Google Play Store. Clever Feb 10, One of the few neutral blockchain podcasts out there. Feb 9, Olympus is a hotly debated project in the DeFi space. It posits to be a decentralized reserve currency protocol.
Slowly, but surely, all the requisite components have matured for crypto-based autonomous artists to take center stage. Explorations of autonomy in art is not new. Vera created algorithmic art with a plotter in the 60s, and artists like Harold created robots that drew original art since the 70s.
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