Nirenberg Neuroscience (NN) develops machine vision on a principle that allows easy generalization – that is, it allows machine vision tasks such as navigation, collision avoidance, object recognition, and face recognition, to be performed in a broad range of conditions (lighting conditions, environments).
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 machine 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.” See Ford press release.
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 a TED talk, a BBC documentary, “The Genius Behind…”, a Bloomberg News documentary, the Washington Post’s “Transformers”, among many others. For peer-reviewed scientific publications, see Nirenberg lab website.
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