Tech Xplore

Computational 'time machine' shows solar and wind power on track for 2°C target, but not for 1.5°C

Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
Los Alamos Reporter

LANL: Researchers Show Some Quantum Learning Models Are Classically Simulable

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...

GUEST COLUMN: Service, experiential learning are vital skills for the next generation

Big technology, algorithms and AI are shaping our work, our attention and the lens through which we see the world. Just as ...

Machine learning tracks methane emissions from orbit

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
Communications of the ACM

Delegating Decisions in Security Operations

Autonomous SOC architectures can shift some portions of operational decision-making to machines, but not all forms of ...
IEEE

Optimizing Customer Relationship Management (CRM) Systems Using Advanced Machine Learning Algorithms

Abstract: Using machine learning approaches, this effort aims to enhance CRM systems. Controlling client interactions, increasing client retention, and strengthening sales strategy are all greatly ...
IEEE

Machine-Learning-Based Algorithm for Significant Wave Height Retrieval From Microwave Radiometer During Tropical Cyclones

This study develops a machine-learning-based approach to retrieve significant wave height (SWH) from soil moisture active passive (SMAP) radiometer data under tropical cyclone (TC) conditions, ...