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Tech & Innovation

AI bridging gaps in fragmented historical data.

Unlocking Historical Data: How AI is Revolutionizing Record Linkage

Discover how CLIPPINGS, a novel AI model, is transforming historical record linkage by leveraging multimodal contrastive learning to overcome challenges in noisy OCR data and unlock valuable economic insights from the past.

Person at a crossroads of treatment options surrounded by data points.

Mastering Decision-Making: How to Navigate Treatment Choices with Confidence

Discover how sequential treatment allocation, enhanced with covariate analysis, can lead to more informed and effective decision-making in healthcare, business, and beyond. Learn to minimize regret and maximize positive outcomes through innovative strategies.

Abstract illustration of AI algorithms strategizing in a complex game.

Game Theory Breakthrough: Fictitious Play Outperforms Regret Minimization in Multiplayer Scenarios

Forget what you thought you knew about solving multiplayer games. A new study reveals that Fictitious Play, an older, simpler algorithm, surprisingly outperforms the modern Counterfactual Regret Minimization in finding Nash equilibrium strategies. Learn how this discovery could revolutionize AI and game theory.

Person in digital mask navigating personalized pricing.

Is Your Data Really Yours? Unmasking Personalized Pricing and the Privacy Paradox

Are you being charged more because of your browsing history? This article dives into the world of personalized pricing, exploring how companies use your data, and what you can do to protect your privacy and wallet.

A diverse team of workers collaborates with AI interfaces in a bright, modern office.

AI's Productivity Boost: How Generative AI is Changing the Way We Work

Generative AI is revolutionizing the workplace, with the most significant productivity gains seen among less experienced workers. Learn how AI is leveling the playing field, improving job satisfaction, and driving innovation.

Balancing scale transforming into a line graph, representing AutoDML simplification.

Decoding AutoDML: How Linear Regression is Revolutionizing Machine Learning

New research reveals that augmented balancing weights in AutoDML, often perceived as complex, are surprisingly equivalent to simple linear regressions. Learn how this revelation simplifies machine learning and enhances performance, offering a fresh perspective on automated causal inference.

Chess pieces representing strategy and AI collaboration.

Can AI Chatbots Like ChatGPT Help Us Understand Human Cooperation?

Researchers are exploring whether AI chatbots like ChatGPT can help us understand human behavior in economic situations. By testing how these AI models respond to scenarios requiring cooperation, competition, or altruism, we can gain insights into the factors that drive our decisions in the real world.

Surreal data landscape illustrating confidence bands in high-dimensional analysis.

Decoding Data: How Additive Models Enhance High-Dimensional Analysis

Explore how sparse high-dimensional additive models revolutionize data analysis, providing a clear framework for uniform inference and boosting result reliability.

A network of interconnected devices collaborating on AI learning while maintaining data privacy.

Federated Learning: Democratizing AI or Just Hype?

Federated learning is changing the game by letting AI models learn from data scattered everywhere, all while ensuring your private info stays private. Discover how this tech could reshape everything from healthcare to how we use our phones.

Data point transforming into a tree symbolizing the efficiency gains from data analysis techniques.

Decoding Propensity Scores: How to Gain Efficiency in Data Analysis

Explore the world of propensity scores and discover how parametric restrictions can dramatically improve the efficiency of your data analysis, providing more accurate and meaningful results.

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