Inspired by JARVIS, we started our journey thinking about the future of Artificial General Intelligence (AGI). At nFlux, we believe solving intelligence can advance and augment human species in positive ways. We focus on the two most important pillars of artificial intelligence, that is, understanding visual content as well as comprehending lingual information.
Prior to establishing nFlux, our team spent 3 years building a Robotics Search and Rescue Platform with Artificial Intelligence for the United States Air Force. Our CEO, Seyed Sajjadi, has spent his career focused on creating the future of Artificial General Intelligence, working towards building JARVIS while avoiding Skynet. After struggling to make sense of the massive amounts of unstructured data he came across while working at NASA Jet Propulsion Laboratory, he set out to find a better way to generate insights from unstructured data. Seyed assembled a team of ML, AI, cognitive architecture, and autonomous systems researchers and engineers to create nFlux…
Our cognitive architecture, Sigma (Σ), is a spin-off from the Cognitive Architecture Laboratory of the University of Southern California (USC) under the leadership of our technical advisors, Professor Paul Rosenbloom and Dr. Volkan Ustun, and funded by the Department of Defense and Army’s Synthetic Training Environment (STE) project. Sigma strives to combine what has been learned from four decades of independent work on symbolic cognitive architectures and probabilistic graphical models via its graphical architecture hypothesis. Sigma’s development is driven by a combination of four desiderata: grand unification, generic cognition, functional elegance, and sufficient efficiency that can be in support of virtual humans, and ultimately intelligent agents/robots – and a new form of unified theory of human cognition. Sigma has quite general parameter learning capabilities, in that probabilistic, neural, and symbolic learning capabilities all emerge from a local gradient-descent-based learning mechanism operating at the code of the architecture. The aspiration for uniform grand unification, plus this unique blend of capabilities, make Sigma a well-equipped candidate to tackle the challenge of modern intelligent agents for autonomous systems from homes to deep space.
- Design, implement and evaluate models, agents and software prototypes of visual and linguistic processing.
- Provide software design and programming support to on-going research projects, products, and services.
- Conduct internal and external reporting and presentations of research findings and developments.
- Engage in team collaborations to meet research and client goals.
- Collaborate with clients and partners and maintain relationships with relevant teams and individuals as appropriate.
- Have fun!