Nirenberg Neuroscience (NN) develops computer vision on a principle that provides easy generalization with very little data – that is, even with a small number of examples you can develop computer vision algorithms that will work in a broad range of lighting conditions and environments. The principle works for many different kinds of applications, including navigation, collision avoidance, shoplifting, customer interaction, security, and, of course, face and object recognition.
NN’s method has a low footprint: the learning algorithms are shallow compared to deep learning networks, using many, many fewer operations to achieve very high performance (e.g., 1000-fold fewer for several applications such as face feature detection, pedestrian detection, and navigation).
NN’s talented technical team of engineers and programmers are building up an array of platforms for a variety of computer vision applications across multiple fields of use. Ford Motor Company has already licensed a first round of platforms for one field of use, to “bring human-like intelligence to the machine learning modules of [their] autonomous vehicle virtual driver system.” Intel has also partnered with NN to deploy the technology into multiple industries – to spread “[this] breakthrough technology in AI [from] a truly brilliant neuroscientist from Weill Cornell Medicine, Dr. Sheila Nirenberg.”
NN was founded by Sheila Nirenberg, a professor at Cornell, who is also the founder of a company that develops new kinds of prosthetic devices (Bionic Sight LLC).
Dr. Nirenberg has won numerous awards for her innovations, including a MacArthur “genius” Award. Her work on cracking the neural code has been featured in TED talks, a BBC documentary, “The Genius Behind…”, a Bloomberg News documentary, the Washington Post’s “Transformers”, among many others.