By creating an in-fiber, pure-photonic computing system that biomimicks the brain’s computational efficiency, but does so at photonic speed, CogniFiber Deep Light Architecture will outperform the most advanced solutions over 1000X in every way.
* DeepLight products are expected 2026-2027, current Pure-Photonics products reach 100 million tasks/second, >300,000 tasks/Watt
Following our Series-A funding in May 2021, we are accelerating toward our first product line of Photonic Auto-Encoders. These will revolutionize AI deployment in cybersecurity and Industrial IoT in both Datacenters and Edge microcenters.
Here’s why:
While many are adding photons to the mix and creating photonic processors within hybrid systems, we are the only company that’s taking computation out of the integrated circuit and into a pure-photonic system that shatters all existing barriers.
Inspired by the great promise involved in combining optical communication platforms with the revolution of deep learning networks, Eyal set out to explore and map a brand-new field of in-fiber photonic computing. In early 2019, leveraging his broad technical experience in neuroscience (Weizmann Institute), HW design (Mellanox, Saifun), algorithms development (Oren, MS Tech) and photonic computing research (Technion, Bar Ilan University, Hebrew University), Eyal co-founded CogniFiber with world-class photonics expert Prof. Zeev Zalevsky, CogniFiber’s CTO. He recruited an elite group of engineers, implementing the theory from the whiteboards into the lab. During its first two years, CogniFiber developed and registered significant IP enabling a POC that dramatically supersedes the most powerful current AI acceleration technologies in terms of performance and power consumption. Eyal is truly energized and excited to lead CogniFiber’s journey into the next technological revolution.
Prof. Zalevsky is a Full-professor and Dean of the Faculty of Engineering at Bar Ilan University. His research expertise involves biomedical optics, super-resolution, and electro-optical devices. He has published more than 450 peer-reviewed papers, 10 books, 30 book chapters, and around 100 patents. For his work and great service to science, he received many national and international scientific prizes. He is also a co-founder and technological leader in many successful start-up companies that originated from technologies commercialized from his lab. Together with Dr. Cohen in 2012, Prof. Zavlevsky began the promising research endeavor which explored the implementation of in-fiber neural networks, enabling de-facto light speed inference computing.
Additionally to our founders, CogniFiber relies on an extraordinary team of experts across a wide variety of fields. Optics, AI and advanced electronics are just the tip of the iceberg. Developing and creating DeepLight™ Technology is a multidisciplinary effort, that wouldn’t be possible without the great and diverse team at CogniFiber.
Contact us for more information and send relevant CV.
We are looking for an electro-optics R&D engineer that will be a part of the team that invents, designs, assembles, tests and delivers future photonic computational systems, parts and devices. The job requires in-depth knowledge and experience in fiber optics and photonics, specific to CogniFiber unique technology.
Contact us for more information and send relevant CV.
