Scientific American

Could Symbolic AI Unlock Human-like Intelligence?

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Humans and artificial neural networks exhibit some similar patterns during learning

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
IEEE

Recognition of Knee Osteoarthritis by 1D and 2D Convolutional Neural Networks Using Vibroarthrographic Signals

Abstract: Osteoarthritis (OA) of the knee is a leading cause of joint pain and mobility loss. Early diagnosis is crucial for effective management yet remains challenging with traditional imaging ...
Nature

This AI combo could unlock human-level intelligence

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
eLife

Synaptic density and relative connectivity conservation maintain circuit stability across development

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
IEEE

Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative

Abstract: Knee osteoarthritis (OA) is a prevalent musculoskeletal condition affecting millions worldwide, posing significant health and economic burdens. Characterized by the degeneration of joint ...
pv magazine International

Optimizing PV system tilt angle, MPPT using fuzzy logic controller

Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...