As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Researchers have developed a self-tuning zeroing neural network with a dynamic adaptive gain and integral activation function ...

A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain. Neural networks are intricate networks of interconnected ...

What’s the difference between analog and digital spiking neural networks (SNNs)? Why analog and digital SNNs are complementary. Details about Innatera’s Pulsar SSN-based microcontroller. Spiking ...

Swiss artificial intelligence startup Neural Concept SA said today it has raised $100 million in funding to rethink how products are designed and engineered with computer-aided design software tools.

New tool combines physics-aware AI and CAD-ready geometry to help teams explore millions of design variants across industries. Neural Concept announced the launch of its ground-breaking AI Design ...

Scientific research explores the potential of DNNs in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 ...