Caddisfly silk gene evolves quickly without losing adhesive power

Caddisflies are among nature's master underwater builders, capable of spinning sticky silk that they use to form protective ...

AI system translates protein sequences into text, helping reveal functions of unknown proteins

In a paper published in Proceedings of the National Academy of Sciences, researchers from Technion and Tel Aviv University ...
IEEE

Adjustable-Error-Based Adaptive Neural Network Tracking Control for Uncertain Nonlinear Systems

Abstract: This article proposes an adjustable-error neural network (NN) approximator and incorporates it into the adaptive neural tracking controller design of ...
TMCnet

Tata Elxsi and Sky Mark a Major Milestone in AI-led Autonomous Network Transformation with NEURON

BENGALURU, India, June 24, 2026 /PRNewswire/ -- Tata Elxsi, a global leader in design and technology services, and Sky, one of Europe's leading media and telecommunications companies, have marked a ...
ArchDaily

Function Follows Form: Designing Adaptive Buildings That Outlast Their Original Use

With forty-eight psychogeriatric beds and sixty-eight wheelchair-accessible apartments, accommodation for informal caregivers, and space for bedside care, the De Keyzer building opened in Amsterdam in ...
Frontiers

Beyond deficits: which executive functions link to which NSSI behaviors? A network analysis

Executive function deficits have been demonstrated to be closely associated with non-suicidal self-injury (NSSI) among adolescents. However, no studies to date have explored how the dimensions of ...
Journal of Medical Internet Research

Hospitalists Are Already Using AI—Why Implementation Will Determine Its Impact

Drawing on lessons from electronic health record implementation, we argue that AI’s ultimate impact will be determined not by use rates, but by implementation quality and fit. Poorly implemented ...
IEEE

FPGA Implementation of PoolFormer Network Using Python-Driven High-Level Synthesis Framework for Edge-AIoT Speech Recognition

Abstract: This brief presents an edge-AIoT speech recognition system, which is based on a new spiking feature extraction (SFE) method and a PoolFormer (PF) neural network optimized for implementation ...