Tag Archives: machine learning

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. 😉

Top Ten Emerging Technologies Set To Change World

Dalian, People’s Republic of China, June 2024 – The World Economic Forum announces today the publication of its annual Top 10 Emerging Technologies Report featuring technologies with the greatest potential to make a positive impact in the world in the next three to five years.

“Organizations make better choices when they understand the factors shaping the future. The report identifies technologies poised to significantly influence societies and economies,” said Jeremy Jurgens, Managing Director, World Economic Forum and Head of the Centre for the Fourth Industrial Revolution. “It also spotlights technologies with immense potential for revolutionizing connectivity, addressing the urgent challenges of climate change and driving innovation across various fields.”

“Drawing on the expertise of Frontiers’ Chief Field Editors worldwide brings our shared commitment to transformative science into clear focus, bringing insight and clarity to breakthrough technology that has the ability to change societies, economies, and lives for the better,” said Frederick Fenter, Chief Executive Editor, Frontiers. “This is open science in action and we are delighted to partner with the World Economic Forum in bringing these technologies to the attention of business, science and political leaders across the globe.”

The Top 10 Emerging Technologies of 2024 are:

  1. AI for scientific discovery: While artificial intelligence (AI) has been used in research for many years, advances in deep learning, generative AI and foundation models are revolutionizing the scientific discovery process. AI will enable researchers to make unprecedented connections and advancements in understanding diseases, proposing new materials, and enhancing knowledge of the human body and mind​​.
     
  2. Privacy-enhancing technologies: Protecting personal privacy while providing new opportunities for global data sharing and collaboration, “synthetic data” is set to transform how information is handled with powerful applications in health-related research.
     
  3. Reconfigurable intelligent surfaces: These innovative surfaces turn ordinary walls and surfaces into intelligent components for wireless communication while enhancing energy efficiency in wireless networks. They hold promise for numerous applications, from smart factories to vehicular networks​​.
     
  4. High-altitude platform stations: Using aircraft, blimps and balloons, these systems can extend mobile network access to remote regions, helping bridge the digital divide for over 2.6 billion people worldwide​​. 
     
  5. Integrated sensing and communication: The advent of 6G networks facilitates simultaneous data collection (sensing) and transmission (communication). This enables environmental monitoring systems that help in smart agriculture, environmental conservation and urban planning. Integrated sensing and communication devices also promise to reduce energy and silicon consumption.
     
  6. Immersive technology for the built world: Combining computing power with virtual and augmented reality, these technologies promise rapid improvements in infrastructure and daily systems​. This technology allows designers and construction professionals to check for correspondence between physical and digital models, ensuring accuracy and safety and advancing sustainability.
     
  7. Elastocalorics: As global temperatures rise, the need for cooling solutions is set to soar. Offering higher efficiency and lower energy use, elastocalorics release and absorb heat under mechanical stress, presenting a sustainable alternative to current technologies.
     
  8. Carbon-capturing microbes: Engineered organisms convert emissions into valuable products like biofuels, providing a promising approach to mitigating climate change.
     
  9. Alternative livestock feeds: protein feeds for livestock sourced from single-cell proteins, algae and food waste could offer a sustainable solution for the agricultural industry.
     
  10. Genomics for transplants: The successful implantation of genetically engineered organs into a human marks a significant advancement in healthcare, offering hope to millions awaiting transplants.

About the Top 10 Emerging Technologies Report
The Top 10 Emerging Technologies Report, now in its 12th edition, serves as a vital source of strategic intelligence for professionals. Drawing on insights from scientists, researchers and futurists, the report identifies 10 technologies poised to significantly influence societies and economies.
In addition to promising major benefits to societies and economies, these emerging technologies must also be disruptive, attractive to investors and researchers, and expected to achieve considerable scale within five years.

This year’s edition introduced an innovative trend analysis methodology, incorporating academic literature, funding trends and patent filings, to ensure the accuracy and relevance of the selected technologies. The technologies featured in the report, produced in collaboration with Frontiers, were identified through a rigorous selection process involving over 300 world-leading academics and experts from the Forum’s Global Future Councils, the University and Research Network, the Frontiers network comprising over 2,000 chief editors worldwide from top institutions, and Mariette di Christina and Bernard Meyerson, Co-Chairs of the Emerging Technologies Steering Group.

How AI Is Transforming Wine Selection and Curation

The meeting and event planning industry is experiencing a significant transformation amid an era where the vintage charm of wine meets the cutting-edge sharpness of Artificial Intelligence (AI). This renaissance, characterized by a blend of tradition with technology, is reshaping the essence of event-driven wine selection, moving away from the notion that tech seeks to replace tradition. Instead, it introduces a paradigm of harmonious enhancement, where data-driven precision and the sommelier’s artistry converge, creating a personalized wine journey for every guest’s palate as detailed in the narrative below.

To discuss AI’s impact on the meeting and events industry, I would love to connect you with Angel or Arsalan Vossough, CEO and CTO of BetterAI, develooper of the “VinoVoss” AI Sommelier — a wine search engine and recommendation system revolutionizing the $39B usd/ $53B cad wine sector.

Tech Meets Tannins:
A.I. Transforming Preference-Based Wine Curation for Event Clientele


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The days when the sommelier’s intuition, refined through years of experience and sensory development, solely guided wine selection are evolving. AI, with its vast collection of data and analytical capabilities, steps into the domain as a digital sommelier, marking a critical shift from purely tradition-led approaches. This integration signifies a future where wine recommendations are enhanced by data analytics, achieving a level of personalization and precision once thought impossible.

This shift from traditional expertise to technological innovation in wine selection is reflective of a broader transformation within event planning. AI’s role extends beyond wine selection, revolutionizing aspects from operational logistics to enhancing guest experiences. By leveraging predictive analytics, AI provides planners with deep insights into guest preferences, optimizes inventory management, and significantly cuts waste. This ability to personalize wine lists to the individual tastes of attendees, a feature once reserved for high-end, exclusive gatherings, is now accessible on a larger scale. This transition not only ensures that each wine selection deeply resonates with attendees’ unique preferences but also illustrates the industry’s wider adoption of innovation, prioritizing customization and quality in every aspect of event planning.


The AI-Driven Transformation in Wine Selection

Crafting Personalized Wine Journeys

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At the heart of Artificial Intelligence (AI)’s transformative influence within the event planning sphere is its unparalleled ability in providing wine recommendations to align perfectly with individual preferences. This capability is not just about selection but about creating a narrative for each event that is as unique as the guests themselves. By meticulously analyzing vast datasets that include a wide range of variables—from individual guest tastes profile and detailed consumption patterns to the dynamic ups and downs of emerging wine trends—AI crafts wine selections that resonate deeply with the event’s demographic profile. Each recommendation is more than a suggestion; it’s a reflection of the event’s ethos, designed to enhance the dining experience profoundly.

Predictive Analytics: Looking into the Wine Future

Positioned at the forefront of wine selection, AI leverages the power of predictive analytics to cast a visionary gaze into the future of guest expectations and wine trends. This innovative approach advances traditional selection methods by empowering event planners with the ability to not just respond to current tastes but to anticipate and shape them. By using sophisticated algorithms, AI scans through historical data and current market analyses to predict which wines will captivate and delight attendees, opening the way for the introduction of emerging varietals and regions. This strategic approach allows for a level of exploration and discovery that enhances the event experience, inviting guests on a wine journey that is both educational and experiential.

Furthermore, the scope of predictive analytics in wine selection extends beyond individual choices to provide a broader understanding of global shifts in the wine industry. From climate change impacts on vineyard yields to innovations in winemaking techniques, AI’s predictive capabilities offer event planners a curated window into the wine world’s future. This comprehensive approach ensures that wine lists are not just reflective of contemporary tastes but are also forward-thinking, positioning events at the cutting edge of culinary innovation and offering guests a taste of the future, today. In doing so, AI doesn’t simply predict preferences; it helps define them, crafting personalized wine journeys that are as visionary as they are satisfying.

Operational Efficiency Through AI

Streamlining Inventory, Embracing Sustainability


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In the world of event planning, the development of Artificial Intelligence (AI) has catalyzed a revolution in operational efficiency, particularly in the domain of inventory management. By utilizing AI’s advanced predictive capabilities, event planners can now make sure that wine orders are carefully aligned with the anticipated demand of each unique event. This precision in forecasting addresses one of the industry’s major challenges—excess inventory and waste—head-on. AI’s ability to analyze past event data, current consumption trends, and even guests’ preferences means that every bottle ordered has a purpose, significantly reducing the likelihood of surplus stock that contributes to waste.

This strategic reduction in waste not only demonstrates a commitment to environmental sustainability but also translates directly into notable cost savings for event organizers. By purchasing only what is needed, events can operate more leanly and efficiently, passing on the benefits of reduced costs to clients while also contributing positively to the planet. This dual advantage spotlights the pivotal role AI plays in driving forward an event planning paradigm that is both economically viable and ecologically responsible.

Moreover, AI’s analytical insights extend beyond just numbers, offering event planners guidance on selecting wines from vineyards and producers committed to sustainable practices. This approach enables events to not only offer of a curated wine selection that is exceptional and environmentally friendly but also aligns with the growing societal demand for responsible consumption. By aligning wine selections with sustainable practices, AI allows event planners to contribute to a larger narrative of environmental responsibility, setting a new standard for the industry.

Synergy Between AI and Human Expertise

Elevating the Sommelier’s Craft


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The integration of Artificial Intelligence (AI) into the process of wine selection marks not the end but a significant transformation in the role of the sommelier. This evolution is characterized by the seamless merging of AI’s analytical strengths with the sommelier’s deep understanding of wine, culture, and personal guest interactions. AI’s entry into this domain provides sommeliers with a suite of tools that enrich their ability to tailor wine selections to the precise preferences and tastes of attendees. By accessing AI-generated insights into guest preferences, historical consumption data, and predictive trends, sommeliers are empowered to provide wine experiences that are deeply personalized, enhancing the dining experience in a way that was previously unimaginable.

This synergy between AI and human expertise allows sommeliers to transcend traditional boundaries, enabling them to craft compelling narratives around each bottle. These stories, woven from the rich history of the wine’s heritage, its journey from grape to glass, and its unique flavor profile, transform each tasting into a memorable experience. The collaboration between AI and sommeliers ensures that the human element of wine selection—the personal touch that elevates a meal into an experience—remains intact, blending the precision of technology with the irreplaceable warmth and authenticity of human interaction.

Balancing the Algorithmic with the Authentic

In the delicate dance between leveraging AI and maintaining the authenticity of wine service, the art of sommeliership shines brighter than ever. While AI provides a powerful platform for enhancing operational efficiency and delivering exceptional personalization in wine selection, it is the sommelier who infuses these recommendations with life. The sommelier’s role shifts from mere selection to that of a storyteller, an educator, and a bridge between the guest and the intricate world of wines. This balance between the algorithmic accuracy of AI and the authentic, personal touch of the sommelier ensures that wine selection remains an art form—a deeply human endeavor that connects, enchants, and leaves a lasting impression on guests.

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The collaborative relationship between AI and sommeliers doesn’t dilute the human aspect of wine service but rather enhances it, ensuring that each recommendation carries with it a story worth telling. This unique partnership introduces a new chapter in wine selection, one where technology and tradition combine to create experiences that are not only personalized but deeply resonant. The future of wine service, thus, lies in this harmonious blend, where AI opens the door to possibilities that were previously unexplored, and sommeliers guide guests through a journey that is as enriching as it is delightful, marking each event with the signature of unforgettable excellence.

Navigating the Challenges

The Ethical Aspects of Data Use

In the quest to utilize Artificial Intelligence (AI) for enhancing wine selection processes, the ethical handling of data stands as a crucial concern. As AI systems delve deep into personal preferences and consumption patterns to deliver personalized wine recommendations, the need to protect guest privacy increases. This requires not only the implementation of robust data protection measures but also the development of ethical frameworks that govern the use of such data. The goal is to develop a trust-based relationship with guests, reassuring them that their personal information is handled with the highest care and respect. This foundational commitment to privacy and ethical data usage is vital in maintaining the integrity of the digital transformation in wine selection. It’s about ensuring that the technological advancement enhances the guest experience without damaging the trust that is essential to the hospitality industry.

Overcoming Technological and Cultural Barriers

The integration of AI into the traditional art of wine selection introduces a complex set of technological and cultural hurdles. Technological challenges such as system compatibility, data integration, and the seamless operation of AI within existing event planning infrastructures present tangible obstacles. Concurrently, cultural challenges emerge, rooted in skepticism towards the role of technology in an area traditionally dominated by human expertise. Overcoming these barriers necessitates a multifaceted approach:

  • Education is key in demystifying AI and showcasing its value as a tool for enhancing rather than replacing the sommelier’s role.
  • Transparent communication plays a crucial role in addressing concerns and setting realistic expectations about what AI can and cannot do.
  • A focus on AI as an enhancer of human expertise rather than a competitor is essential in shifting perceptions and creating a culture of acceptance.

Together, these strategies form the foundation of a successful transition to AI-enhanced wine curation, bridging the gap between technological innovation and the timeless tradition of personalized wine selection. By addressing these challenges head-on, the event planning industry can fully embrace the benefits of AI, ensuring a future where technology and tradition coexist in harmony to create enriched, personalized wine experiences.

Envisioning the Future

The Next Frontier in Wine Recommendation


As machine learning algorithms become increasingly sophisticated, the future of wine recommendation looks promising. AI’s ability to analyze complex patterns and preferences suggests a horizon where every wine selection is not just personalized but also, anticipating guests’ desires before they even articulate them. This is not just about enhancing the event experience but about reimagining the possibilities of personalization.

The implications of AI in wine curation hint at a broader transformation in event planning. From menu customization to entertainment selection, AI’s potential to personalize every aspect of the event experience is vast. This future, where every detail is personalized to the guest’s tastes, brings a new era of event planning, characterized by a high level of customization and engagement.

The fusion of technology and tradition in wine selection represents more than a shift in methodology; it signifies a fundamental change in how we approach the planning of and execute event planning. As AI continues to weave its narrative through the tapestry of event planning, its promise extends beyond operational efficiency or personalized recommendations. It offers a glimpse into a future where every event is a reflection of the guests’ deepest preferences, a celebration not just of the occasion but of the individuality of each attendee. In this future, tech meets tannins, not as adversaries but as allies, crafting experiences that connect on a personal level, setting a new standard for what events can aspire to be. For the Silo, Arsalan Vossough.


Arsalan Vossough, CTO and Co-Founder of BetterAI, specializes in advanced AI technologies, including Machine Learning and NLP. Solutions include “VinoVoss” (www.VinoVoss.com ), a semantic search and recommendation system creating a virtual wine sommelier. The Silicon Valley-headquartered BetterAI excels in developing cutting-edge AI solutions, and is aptly leveraging leading edge technologies like AI, Machine Learning, Generative AI, Natural Language Processing, and Computer Vision to hone transformative solutions. It’s VinoVoss platform empowers users to make highly-informed decisions about their wine selections, explore new varietals, find new favorites and even rediscover old gems quicker and easier than ever before. With a background in quantitative finance and teaching, Arsalan has a Bachelor’s in Computer Engineering, an MBA from Corvinus University, and a Data Science Master’s from UC Berkeley, graduating with honors. Connect with Arsalan at www.BetterAI.io.

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

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

Artificial Intelligence Or AI Is Set To Take Over Many Industries

Is there any question that Artificial Intelligence, or “AI”, is going to play a huge role in the future? The short answer is no- it’s already playing a large part today, so let’s delve into this new tech and look at how it is benefiting the energy sector and what we can expect to see from this AI phenomenon in the not so distant future.

AI In Energy Sector

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.