Machine learning tool pinpoints optimal locations for tree planting, offering a powerful tool for climate mitigation

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...
AZoQuantum

Accelerating Quantum Algorithm Development with Intelligent Orchestration

Qoro Quantum's unified software stack optimizes quantum algorithms, addressing integration challenges and accelerating the ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...
IEEE

Two-Level Beam Selection Algorithm for mmWave Wireless Power Transfer Systems: Training Overhead Reduction and Performance Analysis

Abstract: Millimeter-wave (mmWave) wireless power transfer (WPT) systems require efficient beam selection algorithms to maximize energy harvesting at wireless charging devices (WCDs). The conventional ...

Why Google’s TurboQuant Algorithm is Disrupting the AI Memory Chip Market

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
The White House

CONTINUING THE REDUCTION OF THE FEDERAL BUREAUCRACY

Section 1. Purpose. This order continues the reduction in the elements of the Federal bureaucracy that the President has determined are unnecessary. Sec. 2. Reducing the Scope of the Federal ...
IEEE

Variance Reduction in Floating Random Walk Parasitic Capacitance Extraction Algorithm

Abstract: Variance reduction algorithms for VLSI parasitic capacitances computation with floating random walk method are developed. Statistical estimators of integrals are constructed on the ...