# PhotonicsAI

- **Website:** <https://photonicsai.com>
- **Primary alias:** `photonicsai.com`
- **Founded:** 2022
- **Employees:** 2+
- **Location:** Yerevan, Yerevan, Armenia
- **Company kind:** EDUCATIONAL

## Description

PhotonicsAI Lab is a leading brand in the field of photonics and artificial intelligence. Based at the Institute of Physics of Yerevan State University, our dedicated team of researchers and scientists is committed to advancing knowledge and innovation in the areas of optics and photonics. Our lab specializes in both theoretical and experimental approaches, developing state-of-the-art computing algorithms to address fundamental and applied research problems. We focus on understanding the intricacies of light-matter interaction in complex photonic systems, particularly in relation to structured light field and liquid crystal. One of our main research directions involves combining cutting-edge optical computing technologies with optical imaging systems to achieve remarkable imaging performance through complex turbid media. By leveraging these technologies, we aim to create scalable and power-efficient optical computing architectures capable of solving large-scale complex problems. At PhotonicsAI, we prioritize excellence in science, foster strong international collaborations, and aim to involve a significant number of students in our research projects. Join us in pushing the boundaries of photonics and artificial intelligence for a brighter and more advanced future.

## Industries

- 🧪 Universities and Colleges _(under Science and Education)_
- 🧪 Science and Education

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idKUl6cTv6/w/208/h/110/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1778113147880)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Mantis | #7acf58 | accent |
| Black | #000000 | dark |
| White | #ffffff | light |

## Fonts

- -apple-system — asset _(system)_

---

_Source: <https://brandfetch.com/photonicsai.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._