Science & Applications describes a framework for building neural networks that operate entirely with light, processing ...

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.

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

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 ...

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.

This article reviews the mutual empowerment between artificial intelligence and metasurfaces, characterizing that artificial intelligence enables intelligent nanophotonics, while metasurfaces ...

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 ...

Neural Concept’s end-to-end 3D AI platform empowers 70+ OEMs and Tier 1s across verticals including automotive, microelectronics and consumer electronics. At CES, the company will host invite-only ...