Physical network learns without a digital model
A Nature Communications paper published on June 24, 2026 describes a physical neural network with four programmable metasurfaces that learns through electromagnetic interactions.
Source: Treinamento sem modelo de uma rede neural de metasuperfícies (t.co). Text prepared with AI from this source.
What happened and what to do
Published on June 24, 2026, the Nature Communications paper presents a physical neural network made up of four programmable metasurfaces. The network learns through electromagnetic interactions, without digital models, to focus waves, recognize objects, and perform localization.
A company evaluating physical-computing applications can identify tasks where direct signal processing may be useful and test measurement, performance, and integration requirements. Wendelmaques can structure this evaluation and, where appropriate, implement data collection, monitoring, and analysis tools to support testing.
How the consultancy can help
Wendelmaques can diagnose the opportunity and technical requirements, define an evaluation scope, and implement the collection, monitoring, and software components needed to test the application.
Next step
Send a short description of your case to receive a scoped proposal for diagnosis and implementation.
Let's assess your project
I reply with scope and a proposal.