Tag: machine learning

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Artificial Intelligence Education Reading

Latest Read: Not with a Bug, But with a Sticker

Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do about Them by Ram Shankar Siva Kumar and Hyrum Anderson.

Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do about Them by Ram Shankar Siva Kumar and Hyrum Anderson

Ram Shankar holds a Masters degree in Electrical and Computer Engineering from Carnegie Mellon University. For over 10 years he has worked as a Data Cowboy at Microsoft in the Azure Security data science team.

Hyrum holds a PhD in Electrical Engineering from the University of Washington. He is a former Principal architect at Microsoft and co-found er of CAMLIS. Today Hyrum is CTO of Robust Intelligence.

Ram Shanker and Hyrum introduce adversarial machine learning, the dedicated field launching cyber attacks upon AI. While this is a most timely book to release, it should have been published twenty years ago so the impact could be well understood.

Perhaps it will clash with Wall Street and Silicon Valley desire to overcome slumping known PC sales and be the spark to drive billions in revenue for a new class of technology companies while reinforcing the market cap of established companies. So, let the voice of Ram Shanker and Hyrum, who attack AI machines for a living provide deep insights. In fact, most of us do not consider the civil liberty implications of attacking AI systems.

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Artificial Intelligence Education Innovation Reading

Latest Read: Everyday Chaos

Everyday Chaos: Technology, Complexity, and How We’re Thriving in a New World of Possibility by David Weinberger.

Everyday Chaos: Technology, Complexity, and How We’re Thriving in a New World of Possibility by David Weinberger

David holds a PhD in Philosophy from the University of Toronto. He is widely published including Wired, Scientific American, Harvard Business Review, The Atlantic, and The Chronicle of Higher Education.

He is Co-Director of Harvard Library’s Innovation Lab; Writer-in-residence at a Google AI lab; Senior researcher at Harvard’s Berkman Klein Center for Internet & Society; Fellow at Harvard’s Shorenstein Center on Media, Politics and Public Policy; and a Franklin Fellow at the US State Department.

David previously authored The Cluetrain Manifesto, Everything is Miscellaneous, and Too Big to Know. Having read these books, David’s writing both inspirational and spot on regarding how internet technologies are shifting the global world. My only regret is not reading this book the day it hit newsstands. And based upon his previous works, will not make that mistake moving forward.

Everyday Chaos is focusing on artificial intelligence, big data, modern science, and a very dynamic internet. Rolling into a somewhat staggering force, these technologies are certainly revealing how complex the world is today. Perhaps the most important message, we now find ourselves facing a digital transformation more unpredictable even by those who created the technologies.

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Artificial Intelligence Education Innovation Reading

Latest Read: Artificial Intelligence Basics

Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli. He holds a Bachelor of Business Administration from California State Polytechnic University-Pomona. Tom has written for BusinessWeek, TechWeb, Bloomberg and AI articles for Forbes.

Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli

With Artificial intelligence and subsets continuing to grow in capabilities and deployments, I am always pleased to find titles to share with organizational leaders to bring them up to speed on AI.

Tom is accurate in sharing that AI has in fact rapidly expanded beyond smart speakers and digital assistants to become a general-purpose technology. As such this has been echoing across virtually all industries and markets.

So understanding AI’s possibilities for your organization is more critical today. In less than six months, OpenAI launched Generative AI service ChatGPT into the stratosphere. But it also arrives with much needed safety measures.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, education, government, financial services, use to identify a few. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success in a fast changing and competitive marketplace.

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Artificial Intelligence Education Innovation Reading

Latest Read: Artificial Intelligence in Practice

Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems by Bernard Marr. He holds degrees in business, engineering and information technology from the University of Cambridge and Cranfield School of Management.

Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems by Bernard Marr

Today, Bernard also enjoys teaching for Oxford University, Warwick Business School, the Irish Management Institute, and the and Institute of Chartered Accountants in England and Wales. He is also a contributor to Forbes. Bernard is focusing on strategy, business performance, digital transformations, and AI.

He has certainly advised many of the world’s most recognized brands including: Amazon, Google, Microsoft, Astra Zeneca, The Bank of England, BP, NVIDIA, Cisco, DHL, IBM, HPE, Ericsson, Jaguar Land Rover, Mars, The Ministry of Defense, NATO, The Home Office, NHS, Oracle, T-Mobile, Toyota, The Royal Air Force, Shell, The United Nations, Walgreens, and Walmart.

Bernard has written 20 books having been recognized with the 2022 Business Book of the Year award, the CMI Management Book of the Year award, the Axiom book award and the WHSmith best business book award. I enjoyed reading one of his previous books, Big Data: Using smart big data analytics and metrics to make better decisions and improve performance.

Artificial intelligence and machine learning are continuing to be cited as the most important trend in society today. However, rather than list where AI is deployed, it would be more important to understand how AI was deployed. Bernard is providing comprehensive overviews, including technical details as key learning summaries for each case study.

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Artificial Intelligence Education Innovation Reading

Latest Read: Machine Learning: The New AI

Machine Learning: The New AI by Ethem Alpaydin. A Fulbright scholar, Ethem holds a Ph.D. in Computer Engineering from Ecole Polytechnique Fédérale de Lausanne. He has held visiting research positions at University of California, Berkeley, and MIT.

Machine Learning: The New AI by Ethem Alpaydin

Ethem is delivering an exceptional overview of machine learning. If you want to understand the foundations of machine learning without any programming details, this is the perfect book. The math and statistics are delivered at a conceptual level. Anyone can follow along. He provides a solid foundation addressing algorithms, artificial intelligence, and neural networks. Again for anyone interested, this book is not technical. You will not be overwhelmed, but rather inspired to learn.

Today, Machine Learning (ML) certainly is the most popular subset of artificial intelligence. With ML certainly now a core AI service, we can more easily understand the growing range of ML apps we use everyday.

This includes product recommendations to voice recognition. Spread across just seven chapters, readers will come to understand ML, Statistics and Data Analytics. However chapter four: Neural Networks and Deep Learning is a strong delivery of ML’s core services. This is perhaps the most important chapter for readers new to ML. Ethem provides the much needed context that the foundations were first tested in 1946. This helps set a level playing field in following onto neural networks and the core of deep learning.

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