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 ...

The Edge of Mathematics

Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...
IEEE

A Gaussian Process-Regularized Graphical Learning Method for Distribution System State Estimation Using Extremely Scarce State Variable Labels

Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...
Tech Xplore

Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer

A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
Tech Xplore

'Learn-to-Steer' method improves AI's ability to understand spatial instructions

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
IEEE

Demonstration of a Clock Distribution Method using Switching Matrices and a Two-Phase Clock Signal on an FPGA

Abstract: Very large-scale Integrations (VLSIs) are vulnerable to radiation, and VLSIs used in high radiation environments such as space environment and nuclear power plants have a short lifetime.
CNBC

Russia and China control a key metal for military use. This company is helping the U.S. find a solution

One American company is working to replace a key, rare earth mineral used by the military by using a technology of its own. LightPath Technologies , an Orlando, Florida-based optics and photonics ...