Cefe López, a research professor at the Photonic Crystal group, proposed this first conference.

We are pleased to announce our first Lecture in Materials Science at the Materials Science Institute of Madrid (ICMM), CSIC. A new chance to learn more about what is being researched in our (wide) fields of study. These seminars are all proposed by our research lines' members themself. In this occasion, Cefe López, a research professor at the Photonic Crystal group, proposed this first conference.
Our first guest will be Daniel Brunner (CNRS researcher, FEMTO-ST, Optics department, Besancon). He will give us a seminar entitled '3D additive fabrication for CMOS-compatible integration of scalable neural networks'.
The event will take place at the Main Hall on April, 18, at 12:00 PM. We will have a coffee served at our cafetería at 11:30 AM.
Abstract: The topology of neural networks fundamentally differs from classical computing concepts. They feature a colocation of memory and transformation of information, which makes them ill-suited for implementation in von Neumann architectures. In substrates pursuing in-memory computing, the connection topology of a neural network is encoded in the wiring of a chip, regardless of photonic or electronic, and this approach promises to revolutionize the efficiency of neural network computing. Equally general is that such in memory architectures cannot be implemented in 2D substrates, where their chip real-estate as well as energy consumption increase with an exponent larger unity with the number of neurons. I will discuss our recent work on using additive one and two photon polymerization in order to create 3D integrated photonic chips, that will allow overcoming this scaling bottleneck. Our process is CMOS compatible and hence maps a direct path to a technological implementation."