Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
IEEE

Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching

Abstract: Uplift modeling is a widely recognized predictive approach used to identify individuals who are more likely to respond positively to an intervention or treatment, such as a marketing ...
Security Boulevard

Quantum-Safe Multi-Party Computation for Distributed AI Datasets

Explore how quantum-safe multi-party computation secures distributed AI datasets and Model Context Protocol (MCP) deployments against future quantum threats.
Reuters

In Argentina, inflation data dispute kindles fears of political meddling

Past data manipulation scandals haunt Argentina's credibility INDEC shakeup raises concerns over political influence in economic data Milei's supporters remain confident despite controversy BUENOS ...
IEEE

Expanded Time-to-Go Polynomial Guidance Laws With Arbitrary Time-Varying Gain Functions

Abstract: This article presents an expanded form of time-to-go polynomial guidance (TPG), which generalizes constant-gain TPG to accommodate arbitrary time-varying functions. The proposed guidance law ...