Part 3

AI in Drug Discovery - A Highly Opinionated Literature Review (Part III)

Following up on Part I and Part II, the third post in this series is a collection of review articles published in 2023 that I found helpfu...

Is Pat Walters on here? Here is his lit review for last year

AI in Drug Discovery 2023 - A Highly Opinionated Literature Review (Part I)

Here’s the first part of my review of some interesting machine learning (ML) papers I read in 2023.  As with the previous editions , this s...

Part 2

AI in Drug Discovery - A Highly Opinionated Literature Review (Part II)

Picking up where we left off in Part I , this post covers several other ML in drug discovery topics that interested me in 2023.  Some areas,...

The Seven Deadly Sins of AI Prediction article by MIT Technology Review. 1. Overestimating and Underestimating 2. Imagining Magic 3. Performance vs Competence 4. Suitcase Words 5. Exponentials 6. Hollywood Scenario 7. Speed of Deployment

The Seven Deadly Sins of AI Predictions

Mistaken extrapolations, limited imagination, and other common mistakes that distract us from thinking more productively about the future.

Data illiteracy is an ongoing concern in the US where the job market needs skilled data literati to meet the growing data literacy demand in the job market.

America’s data illiteracy imperils its worldwide lead in artificial intelligence

We need a data-literate work force. We need data-literate policymakers. We need a data-literate populous. To get there, it starts in the schools and on campuses.

As AI technology matures well funded startups buy up smaller startups. A consolidation of AI technologies and patents helps build a company's business portfolio for growth, helps increase needed revenue, and makes a business stay relevant in today's AI technology market.

Congress needs to pass legislation to make it illegal when any agency and/or organization fails to disclose if any of their campaign materials were created using AI (and which type of technique was used) in their materials similar to the tobacco industry, "Smoking can be hazardous to your health."

Rise Of The Machine Learning—Deep Fakes Could Threaten Our Democracy www.forbes.com/sites/peters...

Rise Of The Machine Learning—Deep Fakes Could Threaten Our Democracy

The threat from AI-generated content is magnified due to the fact that so many Americans now rely on social media as a primary news source

The Jevons Paradox states that, in the long term, an increase in efficiency of a resource use will generate an increase of consumption of that resource, not a decrease. This has been true for oil, cars, phones, batteries, worldwide web, and so forth, and likely AI integration too!

How should we assess AGI (Artificial General Intelligence) here Meredith R. Morris, et. al. highlights aspects of these models we should be looking with LLM (Large Language Models) leading the way. arxiv.org/abs/2311.024...