Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

The Arithmetic Layer Beneath Financial Infrastructure

There is a pattern emerging from recent work in pure mathematics that deserves more attention from financial technologists ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
The Manila Times

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...

Kunal Gaurav Is Building the Risk Architecture Prediction-Market Lending Still Lacks

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...
TMCnet

MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
Daily Maverick on MSNOpinion

The algorithm will see you now: Why AI is the nail in the coffin for animal medical testing

AI is set to end medical and cosmetic testing since accurate models can now predict drug toxicity, organ damage and chemical ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Machine Learning-Assisted Optimal Design of a Balloon-Like Single-Mode Fiber and Sagnac Interferometric Composite Pressure Sensor

Abstract: Fiber-optic pressure sensors are widely used in precise or specialized sensing applications due to their high sensitivity and strong immunity to electromagnetic interference. Traditional ...
Phys.org

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 of the nature-based and cost-effective solutions for climate change ...