Machine Learning Times
EXCLUSIVE HIGHLIGHTS
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...

Left-hand

Just How Bad Would an AI Bubble Be?

 Originally published on The Atlantic, September 7, 2025. The entire U.S. economy is being propped up by the promise of productivity gains that seem very far from materializing. If there is any field in which the rise of AI is already said to be rendering humans obsolete—in which the dawn of superintelligence is already upon us—it

What if A.I. Doesn’t Get Much Better Than This?

 Originally published on The New Yorker, August 12, 2025. GPT-5, a new release from OpenAI, is the latest product to suggest that progress on large language models has stalled. Much of the euphoria and dread swirling around today’s...

Duke Health to use predictive analytics for population health

 Originally published on TechTarget, September 3, 2025. Academic medical center Duke Health will use Trilliant Health’s predictive analytics platform to drive medical decisions and improve outreach to underserved patient populations in North Carolina. Academic medical center Duke Health...

The Predictive Turn | Preparing to Outthink Adversaries Through Predictive Analytics

 Originally published on army.mil, January 22, 2025. In 1999, Bill Gates’s book Business @ the Speed of Thought predicted technology like the internet, email, and desktop business programs would transform industries. Gates argued that these tools should be...

Hybrid AI and semiconductor approaches for power quality improvement

 Originally published on scientific reports, July 15, 2025. Abstract This research presents a novel approach to improving electric power quality using semiconductor devices by integrating Machine Learning (ML), Deep Learning (DL), and advanced control strategies. The research addresses...

The Role of AI in Predicting Customer Churn Beyond Traditional Metrics

 Originally published on Customer Think, June 25, 2025. Customer churn is a silent assassin of businesses. Losing customers means losing revenue, momentum, and sometimes your competitive edge. Traditional metrics—like purchase history, support tickets, and usage patterns—only tell part...

Research: The Hidden Penalty of Using AI at Work

 Originally published on Harvard Business Review, August 1, 2025. The VP of engineering at a leading technology company stared at the quarterly adoption metrics with growing frustration. Twelve months after rolling out a state-of-the-art AI coding assistant—a tool...

Most Researchers Do Not Believe AGI Is Imminent. Why Do Policymakers Act Otherwise?

 Originally published on Tech Policy Press, March 19, 2025. AI research—these days primarily driven by corporate interests—often embraces strange priorities. Amidst multiple crises in public health, climate, and democracy, we could do better than synthetic image and text...

Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027

 Originally published on Gartner, June 25, 2025. Analysts to Explore Agentic AI Trends During Gartner IT Symposium/Xpo, September 8-10 on the Gold Coast Over 40% of agentic AI projects will be canceled by the end of 2027, due...

Karen Hao on how the AI boom became a new imperial frontier

 Originally published on Reuters.com, July 3, 2025. The ‘Empire of AI’ author joins our new weekly Q&A series with cultural tastemakers to explore the intersection of their craft and the news. When journalist Karen Hao first profiled OpenAI...

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