Category: Artificial Intelligence

Latest Read: AI and Machine Learning for On-Device Development

Post author By Don Kasprzak
Post date April 24, 2024

AI and Machine Learning for On-Device Development: A Programmer’s Guide by Laurence Moroney.

Laurence holds a Bachelor of Science in Physics and Computer Science from Cardiff University, PgD, Microelectronics Systems Design from Birmingham City University and Graduate Certificate in Artificial Intelligence from Stanford University.

Today he is Chief AI Scientist at VisionWorks Studios. He previously was an AI Advocate at Google for 10 years and served as a Senior Developer Evangelist at Microsoft. He wrote this book in 2021 and previously published AI and Machine Learning for Coders in 2020.

While OpenAI’s ChatGPT kick started the LLM surge, AI will simply be a component installed upon our mobile devices. The OpenAI/Microsoft partnership is certainly enterprise focused, Google Gemini and Apple will drive their Android and iOS devices to simply adopt AI as part of their mobile ecosystem. Phones will simply remain the go to device.

So, there was a lot of buzz regarding new AI devices including Humane’s AI Pin or the Rabbit R1. Their rush to market to capitalize on the AI hype cycle leads to critical mistakes.

Tags Artificial Intelligence, Laurence Moroney, machine learning, On-Device Development, TensorFlow

Artificial Intelligence Education Reading

Latest Read: Your Face Belongs to Us

Post author By Don Kasprzak
Post date April 6, 2024

Your Face Belongs to Us: A Secretive Startup’s Quest to End Privacy as We Know It by Kashmir Hill.

Kashmir holds a masters degrees in journalism from New York University. Her writing has appeared in The New Yorker and The Washington Post. Kashmir is a technology reporter at The New York Times after having worked at Gizmodo Media Group, Fusion, Forbes Magazine, and Above the Law.

Perhaps of the most shocking books in fact that I have read in some time. Kashmir is documenting how a small AI company provided facial recognition to law enforcement, billionaires, and businesses. Yet, it should be no surprise this has eroded privacy as we know it.

Kashmir introduces readers to this chilling story as a skeptic. A tip regarding a mysterious app called Clearview AI held a claim it could with 99% accuracy identify anyone based upon a single photograph of their face. The app indeed provided a person’s online name, social media profiles, friends, family members, and their home address. This was just for starters and in the wrong hands, would be a very powerful surveillance tool.

Clearview AI was a start up run by Australian computer engineer Hoan Ton-That and Richard Schwartz, a former Rudy Giuliani advisor. The company was funded by conservative provocateur Charles C. Johnson and billionaire Donald Trump backer Peter Thiel. In contrast, Google and Facebook chose that this type of tool was too dangerous to release. However, via private investors, Clerview AI would be pitched to thousands of law enforcement agencies around the world.

Tags Artificial Intelligence, privacy, surveillance

Artificial Intelligence Cyberinfrastructure Education Reading

Latest Read: Cybersecurity: The Insights You Need

Post author By Don Kasprzak
Post date March 16, 2024

Cybersecurity: The Insights You Need from Harvard Business Review.

So let’s start with the end in mind to avoid all misunderstandings: this is targeted to every leader and board member regardless of market or industry. They simply must fully comprehend why cybersecurity has been and always will be an ongoing risk.

This is a well written, high level and most importantly a non-technical overview of cybersecurity. This risk can no longer be overlooked by organizations and delegated like it was 1994. Today more than ever before cybersecurity impacts your bottom line, including non-technology based organizations.

And in 2024 we can simply cut to the chase. If your organization’s cybersecurity service is not AI based, it is time to pivot to a vendor that deploys machine learning services to protect your organization, your data and most importantly, your customer data. Just query your insurance carrier for a list of approved vendors that deploy AI cybersecurity services. For the most part the pandemic made this pivot mandatory.

In fact, cyber risk management can no longer be isolated to your organization’s CIO and CISO. This is simply an organization-wide issue. Today every organization’s technology services group have become the key component for organizational success.

Tags cybersecurity, Harvard Business Review, risk management

Artificial Intelligence Education Reading

Latest Read: Generative AI : The Insights You Need

Post author By Don Kasprzak
Post date March 13, 2024

Generative AI: The Insights You Need from Harvard Business Review

The world discovered Generative AI in the beginning of 2023. ChatGPT introduced over 100 million users to the possibilities of Generative AI. In less than 18 months society has shifted. With Wall Street and Madison Avenue literally banking on new markets, business, education and our globally connected society are witnessing transformation. Microsoft’s $10 billion investment in OpenAI is perhaps the strongest indicator of what GenAI will be expecting to produce. However, there certainly remains a big hill to climb.

New AI startups are creating GenAI business models around generating text, images, code and even animation and video via Sora at rather amazing speeds. GenAI is certainly altering how humans create content on a scale and speed not previously understood by society, government, business and education. So get ready for disruption.

This book will help understand the baseline of GenAI and the potential to change the world. Yet for the organization who decides to jump right in, make sure you understand Chapter 3:?A Framework for Picking the Right Generative AI Project. AI is not the web and GenAI is not html. Organizations must understand risk. Just ask Samsung and you will quickly understand why tech companies are banning GenAI within their internal networks.

Tags Artificial Intelligence, Generative AI, Harvard Business Review

Artificial Intelligence Education Reading

Latest Read: Introduction to Generative AI

Post author By Don Kasprzak
Post date March 9, 2024

Introduction to Generative AI by Numa Dhamani and Maggie Engler.

Numa holds degrees in Physics and Chemistry from the University of Texas at Austin. She has served as the Principal Investigator on the United States Department of Defense’s research program. Today she is a Principal Machine Learning Engineer at Kungfu.ai.
Numa is an adjunct instructor at Georgetown University.

Maggie holds Masters in Electrical Engineering from Stanford University. She is a safety team member at Inflection AI. Previously Maggie was a Data Science Fellow at the Center for New Data and a Senior Machine Learning Engineer at Twitter. Maggie is also an adjunct instructor at the University of Texas at Austin School of Information.

Perhaps this book should be required reading for any organization’s AI planning team. Yes, your AI staff should have this well understood. However Numa and Maggie convey a grounded understanding of large language models (LLMs). In addition, you will understand the new rush for integrating generative AI (Microsoft and OpenAI) into your organizational workflows. To be fair, they also are addressing organizational benefits, risks, and limitations.

Tags Artificial Intelligence, Introduction to Generative AI, Maggie Engler, Numa Dhamani