“ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (new book on Amazon Audible & Kindle)

Friends, the new “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle) book is the latest entry to the “Transformative Innovation” series. AI in all of its manifestations represents a bona fide “generational change” of human society as we know it. AI, like many of the historic innovations of the past, has the unsurpassed potential to impact the human race for both good and evil.  All humanity has a vested interest in ensuring the impact of AI is positive. The alternative is unfathomable: A dystopian environment leading to the destruction of mankind in a Noahic antediluvian episode of human culture by the hands of man himself or the divine, omnipotent hand of our sovereign Creator.

This book has a “5 Star” rating on Amazon. Reader comment “If you're curious about how AI works, how it's changing the world, and what might happen next, this book is great. It's a bit like a guide that helps you understand this complex topic. It's a journey that could open your mind to new ideas and change how you see the world.”

Table of Contents:

I - Introduction

II - The Birth of Artificial Intelligence (AI)

III - AI Research and Development

IV - The AI Quantum Multiplier

V - Technological Synergy

VI - The Ethics of Artificial Intelligence

VII - The Global Race for AI Supremacy

VIII - Understanding Artificial General Intelligence (AGI)

IX - Approaches to AGI Development

X - The Era of Artificial Superintelligence (ASI)

XI - Ensuring Safety in AGI and ASI

XII  - AGI and ASI Impact on Society and the Economy

XIII - AI Singularity (“Technological Singularity”)

XIV - Looking Beyond the Singularity

XV - Conclusions

Our journey will examine the birth of AI, the pending transition to Artificial General Intelligence, the era of Artificial Super Intelligence and thoughts on the possibility of AI (or “Technological”) Singularity. Although some of these topics have verifiable, concrete answers, overall, the pendulum rapidly swings from the domain of the known to the domain of the unknown and speculative in the concluding chapters. Our commitment is to amplify the known (factual) elements of Artificial Intelligence and only when necessary delve into the realm of the unknown (subjective) aspects of AI Singularity … and beyond.

Join us for a journey that will transform your thinking and possibly your life!

Order today:

Audible (https://tinyurl.com/3pswj5sx) 

Kindle (https://www.amazon.com/dp/B0CG536WDN)   

3 Book Series: “Transformative Innovation”

Thank you for dropping a brief review on this book’s Audible or Kindle page.

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9

Machine Learning with Mahout Certification Training

Colleagues, the “Machine Learning with Mahout Certification Training” program will accelerate your career and earnings potential. Skill-based training modules include: 1) Introduction to Machine Learning and Apache Mahout - gain insights into what 'Machine Learning' is and How Apache Mahout algorithms are used in building intelligent applications, 2) Mahout and Hadoop - learn how to set up Mahout on Apache Hadoop. You will also get an understanding of Myrrix Machine Learning Platform, 3) Recommendation Engine - gain an understanding of the recommendation system in Mahout and different filtering methods, 4) Implementing a Recommender and Recommendation Platform - learn about the Recommendation platforms and implement a Recommender using MapReduce, 5) Clustering - Algorithms, K-means, Canopy Clustering, Fuzzy K-means and Mean Shift etc., Representing Data, Feature Selection, Vectorization, Representing Vectors, Clustering documents through example, TF-IDF, Implementing clustering in Hadoop, Classification, 6) Classification - obtain an understanding of Classifier and the common Classifier Algorithms, Predictor variables and Target variables, Common Algorithms, SGD, SVM, Naive Bayes, Random Forests, Training and evaluating a Classifier, Developing a Classifier, 7) Mahout and Amazon EMR - how Mahout can be used on Amazon EMR Hadoop distribution, Mahout Vs R, Introduction to tools like Weka, Octave, Matlab, SAS, and 8) Hands-On Project - develop an intelligent application using Mahout on Hadoop built on application logs and transactions.

Enroll today (teams & executives are welcome): https://tinyurl.com/yeh3y4uw 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

IBM: SQL for Data Science with R

Colleagues, the “IBM: SQL for Data Science with R” program will enable you to build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries. The emphasis in this course is on hands-on and practical learning, which means you will work with real databases, real data science tools, and real-world datasets. You will also create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. And you will learn how to access databases from Jupyter notebooks using SQL and R. No prior knowledge of databases, SQL, R, or programming is required. Learn to create and access a database instance on cloud, write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE, filter, sort, group results, use built-in functions, compose nested queries, access multiple tables, and access databases from Jupyter using R and SQL to query real-world datasets.

Enroll today (teams & execs are welcome): https://fxo.co/HFFY 

Download your free Data Science - Career Transformation Guide.

Here is the “Data-Driven Organizations” book series:  

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Artificial Intelligence Through Algorithmic Information Theory

Colleagues, with the “Artificial Intelligence Through Algorithmic Information Theory” you will be able to see machine learning, reasoning, mathematics, and even human intelligence as abstract computations aiming at compressing information. This new power of yours will not only help you understand what AI does (or can’t do!) but also serve as a guide to design AI systems. Associated skills: Computer Science, Probability Theories, Aesthetics, Turing Machine, Artificial Neural Networks, Artificial Intelligence, Information Theory, Basic Math, Cognitive Science, Innovation, Planning, Probability, Machine Learning. Learn to measure information through compression, compare algorithmic information with Shannon’s information, detect languages through joint compression, use the Web to compute meaning similarity, how probability and randomness can be defined in purely algorithmic terms and how algorithmic information sets limits to the power of AI (Gödel’s theorem), a criterion to make optimal hypotheses in learning tasks, a method to solve analogies and detect anomalies, a new understanding of machine learning as a way to achieve compression, Why unexpected means abnormally simple, Why coincidences are unexpected, and Why subjective information and interest are due to complexity drop and why relevance, aesthetics, emotional intensity and humor rely on coding. Skill-based training modules include: 1) Describing data - Complexity as code length, Conditional Complexity, 2) Measuring Information - Complexity and frequency, Meaning distance, 3) Algorithmic information & mathematics - Algorithmic probability, Randomness, Gödel’s theorem, 4) Machine Learning and Algorithmic Information - Universal induction: MDL, Analogy & Machine Learning as complexity minimization, and 5) Subjective information - Simplicity & coincidences, Subjective probability and Relevance.

Enroll today (teams & executives are welcome): https://fxo.co/HFFb 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Computer Vision with Embedded Machine Learning

Colleagues, the “Computer Vision with Embedded Machine Learning” will equip you to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems. This course, offered by a partnership among Edge Impulse, OpenMV, Seeed Studio, and the TinyML Foundation, will give you an understanding of how deep learning with neural networks can be used to classify images and detect objects in images and videos. You will have the opportunity to deploy these machine learning models to embedded systems, which is known as embedded machine learning or TinyML. Familiarity with the Python programming language and basic ML concepts (such as neural networks, training, inference, and evaluation) is advised to understand some topics as well as complete the projects. Some math (reading plots, arithmetic, algebra) is also required for quizzes and projects. If you have not done so already, taking the "Introduction to Embedded Machine Learning" course is recommended. This course covers the concepts and vocabulary necessary to understand how convolutional neural networks (CNNs) operate, and it covers how to use them to classify images and detect objects. The hands-on projects will give you the opportunity to train your own CNNs and deploy them to a microcontroller and/or single board computer. Skill-based training modules include: 1) Image Classification: how digital images are created and stored on a computer. Next, we review neural networks and demonstrate how they can be used to classify simple images. Finally, we walk you through a project to train an image classifier and deploy it to an embedded system, 2) Convolutional Neural Networks: the basics of convolutional neural networks (CNNs) and how they can be used to create a more robust image classification model. We look at the internal workings of CNNs (e.g. convolution and pooling) along with some visualization techniques used to see how CNNs make decisions. We introduce the concept of data augmentation to help provide more data to the training process. You will have the opportunity to train your own CNN and deploy it to an embedded system, and 3)Object Detection: object detection and how it differs from image classification. We will go over the math involved to measure objection detection performance. Afterwards, we will introduce several popular object detection models and demonstrate the process required to train such a model in Edge Impulse. Finally, you will be asked to deploy an object detection model to an embedded system.

Enroll today (teams & executives are welcome): https://tinyurl.com/5n7f7r5z 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

AI Jobs Pay An Average of $146,244 with 69,045 Openings in the US

Colleagues, the CNBC article “U.S. companies are on a hiring spree for A.I. jobs—and they pay an average of $146,000” (July 13, 2023). This article cited recent data from research firm Adzuna that goes on to state there are “69,045 jobs in the U.S. cited AI needs, and 3,575 called for generative AI work in particular … the average job using the skill pays $146,244.” 

The new ebook “AI Software Engineer - ChatGPT, Bard … and Beyond” aims to help Software Engineers and Developers capture their ideal job offer and manage their medium-to-long-term career growth in the global Artificial Intelligence (AI) arena. First, we will look at the global market overview for AI Globally. The artificial intelligence (AI) market size was valued at around $136.55 billion in 2022 (Grand View Research, 2022). Also, it was projected to have a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. if you're interested in AI, you should be familiar with and have expertise with at least one of the following programming languages: Python, C/C++, MATLAB. According to Indeed, salaries for artificial intelligence professionals often range from $99,568 for a full-stack developer to $142,318 for a data scientist. Glassdoor reports the annual average base salary for artificial intelligence professionals in the US is $120,048. Based on a Talent.com report, the average artificial intelligence salary is $143,054 annually. Entry positions start at $115,000, and experienced employees can earn up to $200,000 yearly. 

AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

Access the “Transformative Innovation” book series on Amazon today:

 

1 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

2 -  ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

3 - The Race for Quantum Computing  (Audible) (Kindle) 

And download your free AI-ML-DL - Career Transformation Guide.

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share with your team)