Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024. The hottest thing...
How to Sell a Machine Learning Project
 Originally published in Built In, February 6, 2024. Never...
The 3 Things You Need To Know About Predictive AI
 Originally published in Forbes, June 29, 2024. Some problems are...
Alphabet Uses AI To Rush First Responders To Disasters—Takeaways For Businesses
 Originally published in Forbes, July 7, 2024. The National Guard...

Machine Learning

Which AI Model Most Infringes on Copyrighted Content?

 Originally published in AI Business, March 7, 2024.  OpenAI’s GPT-4 reproduces the most copyrighted content from prompts among four popular large language models, according to new research from AI startup Patronus AI. The startup, founded by former Meta AI researchers, also found that popular large language models from the likes of Meta, Mistral and Anthropic generated copyrighted content. The

Balancing Training Data and Human Knowledge to Make AI Act More Like a Scientist

 Originally published in Tech Xplore, March 8, 2024.  When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic...

Researchers Enhance Peripheral Vision in AI Models

 Originally published in MIT News, March 8, 2024. By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior. Peripheral vision enables humans to...

‘We Definitely Messed Up’: Why Did Google AI Tool Make Offensive Historical Images?

 Originally published in The Guardian, March 8, 2024.  Experts say Gemini was not thoroughly tested, after image generator depicted variety of historical figures as people of color. Google’s co-founder Sergey Brin has kept a low profile since...

DeepMind’s New Algorithm Adds ‘Memory’ to AI

 Originally published in WIRED.com, March 14, 2017. When DeepMind burst into prominent view in 2014 it taught its machine learning systems how to play Atari games. The system could learn to defeat the games, and score higher than humans,...

Effective Machine Learning Needs Leadership — Not AI Hype

 Originally published in BigThink, Feb 12, 2024.  Excerpted from The AI Playbook: Mastering the Rare Art of Machine Learning Deployment by Eric Siegel (February 6, 2024), published by The MIT Press. The ML (Machine Learning) industry has bitten forbidden...

Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business

 Originally published in Fast Company, Jan 5, 2024. Eric Siegel had already been working in the machine learning world for more than 30 years by the time the rest of the world caught up with him. Siegel’s been...

Calculating Customer Potential with Share of Wallet

 No question about it: We, as consumers have our favorites, and as a marketer, you would certainly hope that your establishment will be top of mind when shopping decisions are being made. The fact is that while...

ChatGPT: A Web Designer’s Perspective

 Originally published in Becoming Human, Feb 23, 2023. If you have been up to date with the latest news and trends, the term ‘ChatGPT’ and its success would have most likely reached your ears. And so, you’re probably...

New Theory Suggests Chatbots Can Understand Text

 Originally published in Quanta Magazine, Jan 22, 2024.  Artificial intelligence seems more powerful than ever, with chatbots like Bard and ChatGPT capable of producing uncannily humanlike text. But for all their talents, these bots still leave researchers...

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