Tag Archives: algorithm

The Dawn of Artificial Intelligence: A Journey Through Time

AI

Artificial Intelligence (AI) has become an integral part of our daily lives, influencing everything from how we interact with technology to how businesses operate. But where did it all begin? Let’s take a journey through the early days of AI, exploring the key milestones that have shaped this fascinating field.

Early Concepts and Inspirations

The concept of artificial beings with intelligence dates back to ancient myths and legends. Stories of mechanical men and intelligent automata can be found in various cultures, reflecting humanity’s long-standing fascination with creating life-like machines1. However, the scientific pursuit of AI began much later, with the advent of modern computing.

The Birth of AI as a Discipline

The field of AI was officially founded in 1956 during the Dartmouth Conference, organized by computer science pioneers John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon2. This conference is often considered the birth of AI as an academic discipline. The attendees proposed that “every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.”

Early Milestones

One of the earliest successful AI programs was written in 1951 by Christopher Strachey, who later became the director of the Programming Research Group at the University of Oxford. Strachey’s checkers (draughts) program ran on the Ferranti Mark I computer at the University of Manchester, England3. This program demonstrated that machines could perform tasks that required a form of intelligence, such as playing games.

In 1956, Allen Newell and Herbert A. Simon developed the Logic Theorist, a program designed to mimic human problem-solving skills. This program was able to prove mathematical theorems, marking a significant step forward in AI research4.

The Rise and Fall of AI Hype

The initial success of AI research led to a period of great optimism, often referred to as the “AI spring.” Researchers believed that human-level AI was just around the corner. However, progress was slower than expected, leading to periods of reduced funding and interest known as “AI winters”4. Despite these setbacks, significant advancements continued to be made.

The Advent of Machine Learning

The 1980s and 1990s saw the rise of machine learning, a subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data. This period also saw the development of neural networks, inspired by the structure and function of the human brain4.

The Modern Era of AI

The 21st century has witnessed a resurgence of interest and investment in AI, driven by advances in computing power, the availability of large datasets, and breakthroughs in algorithms. The development of deep learning, a type of machine learning involving neural networks with many layers, has led to significant improvements in tasks such as image and speech recognition4.

Today, AI is a rapidly evolving field with applications in various domains, including healthcare, finance, transportation, and entertainment. From virtual assistants like me, Microsoft Copilot, to autonomous vehicles and systems, AI continues to transform our world in profound ways.

A Copilot self generated image when queried “Show me what you look like”. CP

Conclusion

The journey of AI from its early conceptual stages to its current state is a testament to human ingenuity and perseverance. While the field has faced numerous challenges and setbacks, the progress made over the past few decades has been remarkable. As we look to the future, the potential for AI to further revolutionize our lives remains immense.

2: Timescale 3: Encyclopedia Britannica 4: Wikipedia 1: Wikipedia


For the Silo, Microsoft Copilot AI. 😉

OPED: Made by Human: The Threat of Artificial Intelligence on Human Labor

This Article is 95.6% Made by Human / 4.4% by Artificial Intelligence

One of the most concerning uncertainties surrounding the emergence of artificial intelligence is the impact on human jobs.

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Let us start with a specific example – the customer support specialist. This is a human-facing role. The primary objective of a Customer Support Specialist is to ensure customer satisfaction.

The Gradual Extinction of Customer Support Roles

Within the past decade or so, several milestone transformations have influenced the decline of customer support specialists. Automated responses for customer support telephone lines. Globalization. And chat-bots. 

Chat-bots evolved with the human input of information to service clients. SaaS-based products soon engineered fancy pop-ups for everyone. Just look at Uber if you want a solid case-study – getting through to a person is like trying to contact the King of Thailand. 

The introduction of new artificial intelligence for customer support solutions will make chat-bots look like an AM/FM frequency radio at the antique market. 

The Raging Battle: A Salute to Those on the Front Lines

There are a handful of professions waging a battle against the ominous presence of artificial intelligence. This is a new frontier – not only for technology, but for legal precedent and our appetite for consumption. 

OpenAI is serving our appetite in two fundamental ways: text-based content (i.e. ChatGPT) and visual-based content (i.e. DALL·E). How we consume this content boils down to our own taste-buds, perceptions and individual needs. It is all very human-driven, and it is our degrees of palpable fulfillment that will ultimately dictate how far this penetrates the fate of other professions. 

Sarah Silverman, writer, comedian and actress sued the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement. 

We need a way to leave a human mark. Literally, a Made by Human insignia that traces origins of our labor, like certifying products as “organic”.

If we’re building the weapon that threatens our very livelihood, we can engineer the solution that safeguards it. 

The Ouroboros Effect

If we seek retribution for labor and the preservation of human work, we need to remain ahead of innovation. There are several action-items that may safeguard human interests:

  • Consolidation of Interest. Concentration of efforts within formal structures or establish new ones tailored to this subject;
  • Litigation. Swift legal action based on existing laws to remedy breaches and establish legal precedents for future litigation;
  • Technological Innovation. Cutting-edge technology that: (a) engineers firewalls for preventing AI scraping technologies; (b) analyzes human work products; and (c) permits tracking of intellectual property.
  • Regulatory Oversight. Formation of a robust framework for monitoring, enforcing and balancing critical issues arising from artificial intelligence. United Nations, but without the thick, glacial layers of bureaucracy.  

These front-line professionals are just the first wave – yet if this front falls, it will be a fatal blow to intellectual property rights. We will have denied ourselves the ideological shields and weapons needed to preserve and protect origins of human creativity

At present, the influence of artificial intelligence on labor markets is in our own hands. If you think this is circular reasoning, like some ouroboros, you would be correct. The very nature of artificial intelligence relies on humans.

Ouroboros expresses the unity of all things, material and spiritual, which never disappear but perpetually change form in an eternal cycle of destruction and re-creation.

Equitable Remuneration 

Human productivity will continue to blend with artificial intelligence. We need to account for what is of human origin versus what has been interwoven with artificial intelligence. Like royalties for streaming music, with the notes of your original melody plucked-out. Even if it’s mashed-up, Mixed by Berry and sold overseas. 

These are complex quantum-powered algorithms. The technology exists. It is along the same lines of code that is empowering artificial intelligence. Consider a brief example: 

A 16-year old boy named Olu decides to write a book about growing-up in a war torn nation. 

 Congratulations on your work, Olu! 

47.893% Human /  52.107% Artificial

Meanwhile, back in London, a 57-year old historian named Elizabeth receives an email:

 Congratulations Elizabeth, your work has been recycled! 

34.546% of your writing on the civil war torn nation has been used in an upcoming book publication. Click here to learn more.

We need a framework that preserves and protects sweat-of-the-brow labor. 

As those on the front-line know: Progress begets progress while flying under the banner of innovation. If we’re going to spill blood to save our income streams – from content writers and hand models to lawyers and software engineers – the fruit of our labor cannot be genetically modified without equitable remuneration. 

The Role of AI in Strengthening Security at Cryptocurrency Casinos

Artificial Intelligence (AI) is revolutionizing the way security is managed at cryptocurrency casinos. From detecting fraudulent activities to ensuring fair play, AI’s role is becoming indispensable. Understanding how AI enhances security can provide better insights into its applications and benefits.

In recent years, the rise of cryptocurrency casinos has brought new challenges and opportunities for security measures. As a casino enthusiast, you might wonder how these platforms maintain integrity and protect users’ assets. The answer lies in the sophisticated use of AI technologies that are transforming the landscape of online gambling.

How AI detects fraudulent activities

One of the most significant advantages of AI in cryptocurrency casinos is its ability to detect fraudulent activities. By analyzing large datasets and recognizing patterns that indicate suspicious behaviour, AI systems can flag potential fraud before it causes harm.

For instance, some platforms featured on casinoutansvensklicens.ltd leverage AI to identify unusual betting patterns that might suggest cheating or money laundering. This proactive approach not only safeguards the casino’s operations but also ensures a secure environment for players. AI can even delve deeper, analyzing blockchain transactions to identify suspicious activity linked to specific crypto wallets, further strengthening the platform’s defences.

The importance of fair play

Another crucial aspect where AI shines is in ensuring fair play at cryptocurrency casinos. These platforms rely on complex algorithms to generate random outcomes for games, which can sometimes be vulnerable to manipulation. By implementing AI-driven solutions, casinos like those found here can monitor and verify the randomness of game results continuously. Utilizing such technology builds trust among players, knowing that the games they are participating in are fair and unbiased.

Improving user experience

AI isn’t just about security; it also significantly enhances the overall user experience at cryptocurrency casinos. Personalized gaming experiences are becoming more common as AI analyzes players’ behaviours and preferences to offer tailored recommendations. This means you can enjoy a more engaging and enjoyable gaming session with suggestions that match your interests. Additionally, AI-powered chatbots provide instant customer support, addressing queries and resolving issues swiftly.

The future of AI in cryptocurrency casinos

Looking ahead, the role of AI in cryptocurrency casinos is poised to expand even further. As technology continues to advance, so will the capabilities of AI systems in predicting and mitigating risks. New developments in machine learning and data analytics promise even more robust security measures and enhanced player experiences. Staying informed about these innovations is essential for anyone interested in the dynamic landscape of online gambling.

Human Consciousness & Artificial Intelligence Meet In Designer’s Fabrics

Featured Designer Brian Swift used PAOM to print fabric for his latest collection inspired by the Technological Singularity: a theoretical time in which human consciousness and Artificial Intelligence merge and become a new, unrecognizable species.

shop the designer PAOMBrian collaborated with a machine learning algorithm to imbibe his photographs with a psychedelic quality. These computer generated compositions were then printed onto fabric and used throughout his latest collection.

brian swift tshirt

For more work check out Brian’s site brianswift.com

print all over me ai fabric brian swiftdesigns

paom smiley face

Supplemental- MONA the world’s first artificial intelligence clothing designer

New Millennial Trading App White Shark

Toronto, ON  — White Shark Fintech, Inc. (the “Company”) a revolutionary free artificial intelligence based trading platform that flourishes in volatility and allows its users to better control their assets, including crypto-currencies, launched recently across Canada. A popular tool among young traders looking for simple ways to buy and sell crypto-currencies, the app has created a waiting list to manage user demand.

The free-to-use app takes speculation out of trading by employing high performance algorithms that signal a user when markets for particular securities, including cryptos,  are likely “over bought” or “over sold”. With White Shark users no longer have to guess or rely on self proclaimed experts about the price at which they buy or sell cryptos and other securities.

“Fintech companies, like White Shark, that engage millennials have earned multi billion dollar valuations. With the growing hunt for millennial assets and engagement with other apps, we decided to make the White Shark experience fun, empowering and engaging – regardless of where they hold their assets.” said founder and chairman Marc Wade, “White Shark is truly a user experience company engaging millennials in the capital markets when and where they want.”

WhiteShark Fintech App“White Shark is a game changer.” White Shark app enthusiast Ryan Kesler of the Anaheim Ducks explains. “It’s so easy and fun to use.  Buying and selling crypto has become part of my daily routine. There’s no guess work in making money – the accuracy of the algo trading is the only way to go.”

White Shark’s machine learning algorithms compile market data trends and price book movements into 4 gauges that work together to signal market movements. The app provides the user the ability to respond to changes in market conditions before other traditional indicators.

Now users no longer have to trade blind. Gdax (Coinbase), with over 11.9 million users, is one of the exchanges that can be connected to White Shark.

“So called “experts” have been making speculative and incorrect calls on bitcoin and other cryptos for too long.” Said CEO Stuart Shanus

Stuart Shanus CEO White Shark
Stuart Shanus

“Our free trading app isn’t based on speculation. It’s based on mathematical models and machine learning algorithms – and it should be the go-to app for investors whether they are buying and selling crypto-currencies, fiat currencies or equities.”

Investors using the White Shark app connect their preferred broker account including tCoinbase (gdax) , Kraken, Bitfinex, Poloniex and Hitbtc.  For the Silo, Amy Saunders. 

About White Shark

White Shark is a revolutionary free artificial intelligence based trading app that pairs investors with  real time artificial intelligence (AI) to increase returns and mitigate risks.  White Shark’s high performance algorithms have been used for 17 years by professional traders who have achieved exceptional returns.

New App Demystifies Coding For Kids

NEW YORK, NY (PRWEB)- According to the White House, by 2018, 51 percent of STEM jobs will be in computer science-related fields. However, the number of tech employees has not increased along with the number of jobs available. Why? The answer is simple: lack of relevant education. The White House maintains that just one quarter of K-12 schools offer high-quality computer science with programming and coding. In addition, in 2016, the PEW Research Center reported that only 17% of adults believed they were “digitally ready.” Technology is changing the way that we live and work, and it’s happening fast. So how do we ensure that individuals (especially girls and women) are digitally literate?

In my new interview below with C.M. Rubin (founder of CMRubinWorld), Derek Lo says he started Py because he wanted to demystify “coding”. His app does this by making coding fun. The program also avoids using any programming jargon until the learner is ready. Lo states that “gamification isn’t a hindrance to learning—-it accelerates it.” He further notes that coding “instills a greater aptitude for systematic thinking and logical decision making.” Lo recently partnered with the not for profit Girls Who Code to further reduce the gender gap and “change people’s image of who a coder is.”

Coding in language children understand

“We specifically write our content using language that even young children can understand.” — Derek Lo

Why were 600,000 high-paying tech jobs unfilled in 2015 in the United States alone, or is the better question: Is technology developing faster than humans can learn to handle it?

When we look at diversity, things only get worse. In 2015, 22 percent of students taking the AP Computer Science exam were girls while 13 percent were African-American or Latino. These statistics are not U.S. specific; in 2015, Australia reported that only 28 percent of ICT jobs were held by women.

Coding has always been regarded as a mysterious field, something Derek Lo, co-founder of the new application “Py”, wants to change. Launched in 2016, the application offers interactive courses on everything from Python to iOS development. The “unique value proposition,” as Lo puts it, has been a revolutionary success. The fun-oriented application has so far resulted in over 100,000 downloads on both iTunes and Google Play.

Most parents frown when kids use their phones at the dinner table, but what if the kids were learning to code over Sunday roast? “Ok, so maybe not the Sunday roast, but seriously, could a more accessible and fun coding application make all the difference?”

The Global Search for Education is excited to welcome one of Py’s founders, Derek Lo, to discuss how Py’s revolutionary approach is literally making coding cool.

Coding creates websites but also stimulates thought

“Coding can provide people with the awesome ability of being able to create tangible things like websites and apps. It also instills less tangible things like a greater aptitude for systematic thinking and logical decision making.” — Derek Lo

People say education today is often treated as a business and that individual students’ needs have not been prioritized enough. As the number of qualified applicants increases, can individualized learning tools, such as Py, help today’s generations remain competent in our globalized world, even with “broken” education systems?

Yes. As college acceptance rates decline, more people will need alternatives for learning career-essential skills, and we believe Py will be a big part of that. Using machine learning algorithms, we’re able to adapt the user experience based on prior skill and behavior within the app, creating a tailored curriculum. Having a personal tutor in your pocket that knows how you learn and what you should be learning is powerful and why we are investing in personalization.

Py App On Google Play

Py provides its users with a simple and easy platform while many other coding applications (e.g. Solo Learn) have opted for more traditional and serious lesson plans. Does making learning applications appear more serious fuel the conception that coding is a hard and scary thing to learn? Are we over-complicating the field of coding and making it seem inaccessible for people or should students really be this wary of programming?

One of the reasons that my co-founder and I started Py is to demystify “coding”. We make it easy by making it fun. When you’re dragging pretty blocks around and pressing colorful buttons, it doesn’t feel like work. Yet users are still soaking up all the same knowledge they would be by slogging through a boring textbook. We also intentionally avoid programming jargon until the learner is ready. A good example is when we teach users about loops—-we use words like “repeat” instead of “iterate”. Almost all of Py’s courses are focused on teaching the fundamental concepts using simple language and in an interactive fashion.

Also, many people are scared away from learning how to code because they hear from friends that computer science is such a difficult major in school. An important thing to realize is that there’s a big difference between theoretical computer science and making a simple website. An art major might not need to understand Dijkstra’s algorithm, but would greatly benefit from knowing a bit of HTML and CSS.

Getting Young Adults Interested In Coding

“We’re extremely excited about helping to change people’s image (and self-image) of who a coder is and actively encourage more girls to get into coding.” — Derek Lo

What would you say to skeptics who question whether a game-like application like Py can truly help people learn how to code properly?

Gamification isn’t a hindrance to learning—-it accelerates it. By keeping you excited and engaged, Py teaches you better than if you got bored or zoned out. When you’re having fun, you actually learn faster and better.

Another way to phrase this question might be, “Even if Py is fun, do you walk away having learned something from it?” The answer is yes, definitely. We’re very data-driven, constantly improving our courses by analyzing our users’ progress. We can see (and track) real progress in our users’ ability to understand everything from basic semantics to high-level algorithms and design principles.

Do you think Py’s game-like surface allows younger generations to become more involved with coding?

Yes. We specifically write our content using language that even young children can understand. In fact, a parent emailed us just the other day telling us he was using Py to teach his 10-year old son Python! Currently our target demographic is definitely a bit older than that though. We think of Py as the learn-to-code solution for the SnapChat generation.

What general skills does coding teach kids/ young adults?

Coding can provide people with the awesome ability of being able to create tangible things like websites and apps. It also instills less tangible things like a greater aptitude for systematic thinking and logical decision making.

Understand Algorithm Before Typing It

“Once you understand how an algorithm works, typing it out should be an afterthought. The important thing is to understand it—once you do, it’s yours forever.” — Derek Lo

Py has recently partnered with Girls Who Code. Why do you think coding has been branded throughout history as a ‘male’ profession and how do you hope to eliminate this gender gap?

Historically some of the most important computer scientists are women. Ada Lovelace and Grace Hopper are considered pioneers of programming. Stereotypes aside, men and women are obviously equally capable of becoming great software engineers. We’re extremely excited about helping to change people’s image (and self-image) of who a coder is and actively encourage more girls to get into coding. We’re huge fans of Girls Who Code and we’re so excited to provide them free premium subscriptions for some of their students.

When we think of coding, we mostly envision computer screens, yet we tend to use our phones more often than we do our computers. How does Py bridge the gap between using a computer screen as opposed to learning how to code on smaller devices? Is the coding world shifting to using smartphones or is coding still a generally ‘computer’ based field?

People actually don’t need to type lots of code to learn the concepts necessary to become great programmers. We’ve built interaction types like “fill-in-the-blank” that let users quickly edit code on the fly without any typing. Recently we’ve also created a custom keyboard that allows users to type real code on their phones in a friction-less way. This is great for short programs and practicing the fundamentals, and it’s how we’re making the transition from computer to phone and vice versa easier. Applying this knowledge to create a website or app does still primarily take place on computers. But the world is seeing a wave of new mobile learning applications, and I think we’re at the forefront of that trend.

How do you envision the world of coding changing in the next 15-20 years? How will Py keep up with these changes in the field?

Coding will become less about rote memorization of basic syntax and more about high-level understanding of what’s really going on. At a minimum, programming languages have morphed from low-level (shifting bits and allocating memory) to high-level (abstract data structures and functional programming), from obtuse (assembly, machine code) to human friendly (Python, Swift).

That’s why Py focuses on high-level concepts. Once you understand how an algorithm works, typing it out should be an afterthought. The important thing is to understand it—once you do, it’s yours forever.

CM Rubin and Derek Lo
(l) C. M. Rubin & (r) Derek Lo

 

(All photos are courtesy of CMRubinWorld except featured image by J. Barker)

For the Silo, David Wine /CMRubinWorld with contributions by Zita Petrahai.

No Cost Auto Coupon Button Applies Savings At Checkout For Online Shopping

I’d like to tell you about an easy shopping hack that moves coupon clipping into the 21st Century.

Gumdrop by Goodshop is a new free browser button which automatically finds and applies the best coupons at checkout when you are shopping online at more than 30,000 retailers including Kohl’s, Toys R Us and Amazon. It takes just a few seconds to add and then you can enjoy big discounts and save precious time by not having to search for antiquated ‘print’ coupons or cut and paste promo codes!

In addition, if you select a cause, a portion of what you spend at participating stores will be donated to that cause for free.

To date, Gumdrop has saved shoppers more than $100 million USD and donated nearly $13 million USD which has gone to find homes for stray animals, build playgrounds, fund cancer research and more. For the Silo, J.J. Ramberg.

How To Start Blogging With Plastic Deerheads And Ironic Moustaches

The trendy and kitschy Owl. images/photos: Charity Blaine
The trendy and kitschy Owl. images/photos: Charity Blaine

Blog writers are like Indie music that’s about to become “cool”, or rather, they are the people that enjoy the Indie music before it’s “cool”, in fact, they are most likely part of the reason it eventually becomes popular. Only it’s not just music. It’s everything. Lifestyle bloggers like EVERYTHING before it’s cool. Therefore, I, as a blog reader, know about everything cool before it is cool. I, am a blog world hipster, and I’m only partly ashamed to admit it.

To clarify, it’s not just the blogs themselves that set the trends; it’s also the only shops where bloggers sell their handmade goods, such as etsy.com. Years ago, I remember searching for kitschy little polymer clay earrings shaped like foods at etsy, today, when I no longer want them, they are available for a fraction of the price at popular stores such as Clare’s and Arden’s, although truthfully, they do look cheaper. The handmade versions look more like real food than the store bought versions.  You should never believe anything that doesn’t come with proof, so here are three substantial examples of bloggers, not retailers, setting the trends.

 

1)      Owls. I really hate owls. I don’t think they’re cute. I don’t understand the obsession at all, but so many places these days sell things adorned with owls. Don’t get me wrong, I realize that owls were popular years ago, but this is a reference to the current owl obsession. Forever21.com  and http://verified.codes/Forever-21 sells more than a dozen owl accessories so does Clare’s. Where did I first see an obsession with owls? In the blog world, for example, blogger Elycia Watson (loveelycia.com) from Hamilton, Ontario posted regularly about owls more than three years ago. All the blogs I initially read as a blogger were full of owls.

 

geometrics

 

2)      Geometric Shapes. Bloggers love chevrons, triangles, lines, squares, any simple shape that can be coloured pink or gold. This isn’t the best example, but two years ago, the Sidney Crosby  of blogs, A Beautiful Mess, did a ‘do- it –yourself’ project “making a geometric mobile”. It’s a clothes hanger with dangling wire triangles wrapped in yarn, basic and geometric. Most of the bedding at Urban Outfitters these days is adorned with chevrons and triangles. This also points to the ‘do- it- yourself’ trend. These crafty women have been doing it yourself way before pinterest made it popular. To sound even more hipster, I remember when pinterest first started, in those days, there were no weight loss schemes or a surplus of one direction photos, it really was mostly crafts and home décor, and bloggers used it to find inspiration for new blog posts. I love pinterest, so thanks again bloggers for being cool before it was cool.

 

deer heads

 

3)      Since I’ve already given four substantial examples I don’t really need a number 3, but just in case you still doubt, take a look at Faux Deer Head for your wall. Flipping through a home décor magazine lately, I found a photo of a plaster deer head, in the style of the mounted, taxidermy deer head that hunters would have on their walls. Currently, even Home Hardware sells them. Bloggers have been doing this for years. They even use old piñata heads. They give the deer head hats and jewelery. The Dainty Squid was one of the first places I really remember seeing this phenomenon. Kayla found a plastic deer head more than 3 years ago, plopped a wig on its head and called it beautiful.

So the conclusion is- if you really want to be ahead of the wave, read blogs, small, crafty, lifestyle blogs. By the time any of that stuff hits the mainstream, you’ll be really sick of it and you can officially embrace your inner hipster and tell everyone, while sporting an ironic moustache, that you liked all those things, including ironic moustaches, before they were cool.  For the Silo, Charity Blaine.  

Supplemental- Street Trends: How Today’s Alternate Youth Cultures Are  Creating Tomorrow’s Mainstream http://www.amazon.com/books/dp/0887308759

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