Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

New 4D-STEM method isolates atomic structures from clustered nanocrystals

Scientists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new way to determine atomic structures from nanocrystals previously considered unusable, ...
pv magazine International

How to address imbalance datasets in solar panel dust detection

Researchers from South Korea improved solar panel dust detection by using SMOTE and stable diffusion (SD) augmentation, with SD boosting detection accuracy from 76.5% to 98.9% while preserving spatial ...
IEEE

FPGA-Based Cluster Reconstruction for HFRS-TPC Using a Pipeline and multiple RAM groups Dual-Layer Polling Strategy

Abstract: The High-energy Fragment Separator (HFRS) employs twin Time Projection Chambers (TPCs) as position detectors for magnetic rigidity (Bρ) measurements. These twin TPCs comprise two identical ...
BW Businessworld

How Apple's Mac Became The World's Best AI PC

He is talking about security and privacy. But he might just as easily be describing the quiet conviction — held now by a ...
Kenyans.co.ke

Explainer: How KUCCPS Determines University and College Placement Using Cluster Points

Thousands of students who sat the Kenya Certificate of Secondary Education (KCSE) are eagerly awaiting the government’s official opening of the placement portal so they can apply for their preferred ...