When The Future Isn’t Like The Past: The Dangers Of Model Data Drift In AI-Driven Business Lines

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...
MIT Technology Review

Shifting to AI model customization is an architectural imperative

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

The Connected Enterprise Comes First: Build The Operating Model, Then Let AI Do Its Job

When the fundamentals are in place—connected systems, clear ownership and stable processes—AI can start delivering real value ...
Communications of the ACMOpinion

Model Collapse Is Already Happening, We Just Pretend It Isn’t

The weird, rare, surprising patterns that make data rich slowly get smoothed out when an AI model trains on outputs from a ...
TweakTown

Tesla paywalls basic safety feature on Model 3 and Model Y vehicles

TL;DR: Tesla has placed its lane-centering Autosteer feature behind a $99/month Full Self-Driving (FSD) subscription, ending free Basic Autopilot after seven years. This move aims to boost FSD ...
Post-Bulletin

'Data Center Basics' meeting draws a large crowd

AUSTIN, Minn. — About 100 people showed up to get the basics on data centers — the new development topic that's sweeping the region. Hosted by the Southern Minnesota Initiative Foundation (SMIF), the ...
IEEE

Unearthing Silent Data: Back to Basics in Process Design

Abstract: We live in technology-driven societies, especially shaped by Artificial Intelligence (AI). The performance of AI models depends heavily on data quality-particularly the issue of data bias.
IEEE

Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Frontiers

A three-stage exercise-oriented problem-based learning model for double-weak students in applied undergraduate education

In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...