IEEE

State and Input Constrained Model Reference Adaptive Control With Robustness and Feasibility Analysis

Abstract: We propose a model reference adaptive controller (MRAC) for uncertain linear time-invariant (LTI) plants with user-defined state and input constraints in the presence of unmatched bounded ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
The Next Web

After Harvey, vertical AI’s next $10B winner might be in agriculture

Harvey proved vertical AI works in legal at $11B. Agriculture's $500B data gap, a $300M USDA signal, and GrowersTech's agronomic ontology suggest the next category winner scales from the field.

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

No Claude Fable 5? No problem: Sakana achieves frontier performance with new Fugu multi-model, auto synthesis system

As enterprises increasingly demand fail-safes against single-vendor reliance, Sakana is proving that packaging collective ...
IEEE

DGX: Uncovering General Behavior of Deep Graph Models With Model-Level Explanation

Abstract: Deep graph learning models have recently been developed to learn from various graphs that are prevalent in describing and modeling complex systems, including those in bioinformatics. However ...