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Artificial Intelligence Education Innovation Reading

Latest Read: The AI-Savvy Leader

The AI-Savvy Leader: Nine Ways to Take Back Control and Make AI Work by David De Cremer.

The AI-Savvy Leader: Nine Ways to Take Back Control and Make AI Work by David De Cremer

David holds a PhD in Psychology from the University of Southampton, UK. He is Dean of Northeastern University’s School of Business, and the previous chair in management studies at the University of Cambridge UK. He is also a visiting professor at London Business School and China Europe International Business School.

In addition, David is the founder of the Erasmus Behavioral Ethics Centre at the Rotterdam School of Management. He remains an honorary fellow at Cambridge Judge Business School and a fellow at St. Edmunds college, Cambridge University. He is also a research member of The Justice Collaboratory at Yale’s Law School.

David is pulling no punches on his predictions that AI will transform society including organizational leadership. However his focus is on a human-centered approach to AI leadership. His position for leaders: emphasize ethical and strategic integrations of AI into their organizations. If not, AI will get the best of you. There is plenty of recent data to back up his claims.

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Artificial Intelligence Education Innovation Reading

Latest Read: AI at the Edge

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake and Jenny Plunkett.

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake and Jenny Plunkett

Jenny holds BS in Electrical Engineering in from the University of Texas at Austin. She is a senior developer relations engineer at Edge Impulse. Daniel is Director of ML at Edge Impulse and holds a BSc Computer Networks and Security from Birmingham City University. He is the former Developer Advocate at Google for TensorFlow Lite.

This book is a guide to exploring how machine learning is being implemented on both edge devices and embedded systems. A bit of caution however, both authors are at Edge Impluse and their company product is referenced.

While not surprising, it can be viewed as a marketing product rather than addressing market leading solutions. The target audience is engineering professionals, including product managers and technology leaders.

We continue to deploy Internet of Things (IoT) devices. Many readers will think thermostats like Google Nest and X. However this focus is on industrial, automation, healthcare, agriculture, and autonomous vehicle devices which brings a lot of real-time data and machine learning driven decision-making at the remote device location. It is a very fast paced environment.

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Artificial Intelligence Education Innovation Reading

Latest Read: AI and Machine Learning for Coders

AI and Machine Learning for Coders: A Programmer’s Guide to Artificial Intelligence by Laurence Moroney.

AI and Machine Learning for Coders: A Programmer’s Guide to Artificial Intelligence by Laurence Moroney

Laurence holds a BSc in Physics and Computer Science from Cardiff University, Postgraduate Diploma in Microelectronics Systems Design from Birmingham City University and a Graduate Certificate in Artificial Intelligence from Stanford University.

He was Global AI Advocacy Lead at Google for 10 years and Senior Developer Evangelist at Microsoft for 7 years. In fact, today he is Senior Fellow at The AI Fund, and Artificial Intelligence Advisor and Fellow at RealAvatar. Laurence has also taught millions of students through online platforms such as Coursera, Udacity, and edX.

This book is certainly an amazing guide designed for programmers looking to transition into AI and machine learning with a focus on computer vision, natural language processing (NLP), and sequence modeling with code samples and projects.

To no surprise Laurence is driving this on TensorFlow, Google’s tool for for building models on multiple platforms including Raspberry Pi for deployments on web, mobile (Android and iOS), cloud, and embedded systems.

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Artificial Intelligence Education Innovation Reading

Latest Read: Evolutionary Deep Learning

Evolutionary Deep Learning: Genetic algorithms and neural networks by Micheal Lanham.

Evolutionary Deep Learning: Genetic algorithms and neural networks by Micheal Lanham

Today Michael is a Lead AI Developer at Brilliant Harvest Inc. and also a Technical author at Manning Publications. Previously he worked at Symend as a Principle AI Engineer and Manager of ML Engineering.

This books expands upon his knowledge in deep learning, evolutionary computation, and genetic algorithms. This was a very enlightening read and will be very interesting for those interested in a comprehensive understanding of deep learning today.

The book is certainly written for data scientists using Python. This offers a very deep perspective on the combination of evolutionary principles with deep learning.

This results in enhanced model performance with the ability to solve complex problems with machine learning.

Michael is able to address multiple themes related to the link with computation and deep learning techniques. The book is structured in three main parts:

  1. Getting Started:
    Introduces evolutionary deep learning, evolutionary computation, and genetic algorithms using DEAP (Distributed Evolutionary Algorithms in Python).
  2. Optimizing Deep Learning:
    Covers automated hyperparameter optimization, neuroevolution optimization, and evolutionary convolutional neural networks.
  3. Advanced Applications:
    Explores evolving autoencoders, generative deep learning with evolution, NeuroEvolution of Augmenting Topologies (NEAT), and future directions in evolutionary machine learning..
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Education Innovation Reading

Latest Read: The Five Dysfunctions of a Team

The Five Dysfunctions of a Team by Patrick Lencioni.

The Five Dysfunctions of a Team by Patrick Lencioni

Pat holds a BA in Economics and Spanish from Claremont McKenna College. He is President of the Table Group, and previously worked at Bain & Company, Oracle Corporation and was a former Vice President of Organizational Development at Sybase.

Regardless of where you work, even if your are a one person consultant or new startup, you will benefit from Pat’s book. This is about engaging people to achieve outcomes. Should this be your consultancy or new product, your future will in part be influenced by the people you engage.

This is a long time bestseller for a damn good reason. In fact, we see teams as a group of individuals striving to achieve success in perfect sync with one another and their individual daily tasks. However Pat is able to analyze the fundamental causes of why teams fail, their projects do not result in closure and the impact of organizational politics

Pat outlines identifies five interrelated dysfunctions that can undermine team performance which hinder team effectiveness and performance:

Absence of Trust:
Perhaps the most difficult to confront within any team is their unwillingness to trust one another regardless of how long they have worked together.

Fear of Conflict:
Teams without trust will result in limited discussions on their project contributions. The free flow of conversations is required to be successful. You must engage your team at 100 percent.

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