Trunk Tools' stack cut document review from 60 days to 10 by ditching general-purpose models

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

The next AI arms race isn't about models. It's about context

Ask an AI model to analyse a photograph and it might tell you it contains a person standing under a tree near the ocean on a ...
Security Boulevard

Cut your coding agent’s cost with Sonar Vortex

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
IEEE

Graph-based Deep Reinforcement Learning Approach for UAV Multi-Warehouse Delivery Problem

Abstract: With the rapid development of Unmanned Aerial Vehicle (UAV) technology, its application in logistics and distribution has become increasing widespread. Efficient task planning to minimize ...
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 ...
diginomica

Data primacy at Everpure - the questions buyers will ask, put to the people selling it

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made the case about what it actually means for buyers right now.
IEEE

Solve Large-Scale Unit Commitment Problems by Physics-Informed Graph Learning

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...