Yale Insights

How Innovations in Understanding Everyday Data Can Power More Effective Aid

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Decoding X’s algorithm: Here’s how Grok open-sources and curates the “For You” feed

Grok explained the newly open sourced X algorithm in 10 clear and easy points: 1) When you open the "For You" feed on X, it ...

Thousands of Companies Are Driving China’s AI Boom. A Government Registry Tracks Them All

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

From metrics to moments in 5 steps

The new headline metric is shared moments. These experiences live on through memory and word of mouth. The next wave of ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In math or coding, parameters are used to set limits or determine output. The ...
IEEE

High-Precision Modeling of Industrial Process Using Lightweight Deep Forest Regression with Its Application

Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...
IEEE

A Self-Triggered Adaptive Dynamic Programming Scheme for Unknown Nonlinear Systems by Iterative Model Predictive Process

Abstract: This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of ...
Scientific Research Publishing

Cao, J., Chen, J.B. and Cao, S.H. (2015) Studies on Iterative Algorithms for Modeling of Frequency-Domain Wave Equation Based on Multi-Grid Precondition. Chinese Journal of ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...