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Graph architecture replaces transformer attention, extrapolating to 4 million tokens in linear time

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...
BIOENGINEER

Graph-Attention AI Teaches Drone Swarms to Optimize Communication Networks

A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, and packet routing, reporting ...
AiThority

Jedify Launches Data Agents, Autonomous Analysts Built on Its Context Graph

Jedify, the autonomous context graph for data-intensive agentic applications and workflows, announced Jedify Data Agents, a ...
Crowdfund Insider

Initia Suspends Layer-1 Network and Rollups Following Security Incident Involving Reported Token Minting

Initia, the modular layer-1 blockchain designed to support a network of interconnected rollups, paused both its main chain and associated rollups on Friday, ...
Science

Biophysically constrained learning from healthy neural priors improves motor decoding in pathological cortical networks

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...