The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

One company, AfterQuery, sells a series of off-the-shelf “worlds” to AI labs, with names such as “Big Tech World”, “Finance ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Early detection of individuals at high risk of disease onset is crucial for health-care systems to cope ...

Abstract: Voice data is crucial for modern artificial intelligence (AI) systems, powering various applications from speaker recognition (SR) to AI-generated content. The reliance on massive data ...

Abstract: This article introduces a novel approach that combines a multimodel technique with model-free adaptive control (MFAC) to address the limitations of the full-form dynamic linearization (FFDL) ...

Coastal zones face growing threats from climate change, including sea-level rise and intensified storm activity. Accurate numerical modelling is essential to predict the impacts of anthropogenic and ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

block-insertion-theorem is a reproducible reference implementation of a combinatorial result about block insertion and counting linear extensions of posets. The repository provides a formal JSON ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...