IEEE

Data Generation Approach Based on Data Model Fusion: An Application for Rolling Bearings Fault Diagnosis With Small Samples

Abstract: Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with ...
Center for Strategic and International Studies

What to Know About Chinese AI Models

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Google Tested Its AI Tutor In Real Classrooms. It Worked

Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...
How-To Geek on MSN

Why the Slate Truck's repair model is as radical as its price

Open-source repair platform challenges the traditional service model.

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...
MIT Technology Review

The emergence of the web data infrastructure layer for AI

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.
IEEE

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry

Abstract: In complex process industries, multivariate time sequences are omnipresent, whose nonlinearities and dynamics present two major challenges for soft sensing of important quality variables.