Berkeley Neuromorphic
Computer Hardware, 31 Ave, Richmond, California, Maine, 94804, United States, 1-10 Employees
Who is BERKELEY NEUROMORPHIC
Berkeley Neuromorphic grew out of years of engineering and research at the University of California and Lawrence Berkeley National Lab. Daniel Burke, its founder, works with a network of ...
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- Headquarters: 31 Maine Ave, Richmond, California, 94804, United States
- Date Founded: 2016
- Employees: 1-10
- Revenue: Under $1 Million
- Active Tech Stack: See technologies
- CEO: Daniel Burke
Industry: Computer Hardware
SIC Code: 8731
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Berkeley Neuromorphic Org Chart and Mapping
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Frequently Asked Questions Regarding Berkeley Neuromorphic
Answer: Berkeley Neuromorphic's headquarters are located at 31 Ave, Richmond, California, Maine, 94804, United States
Answer: Berkeley Neuromorphic's official website is https://berkeleyneuromorphic.com
Answer: Berkeley Neuromorphic's revenue is Under $1 Million
Answer: Berkeley Neuromorphic's SIC: 8731
Answer: Berkeley Neuromorphic has 1-10 employees
Answer: Berkeley Neuromorphic is in Computer Hardware
Answer: Berkeley Neuromorphic top competitors include: BrainChip , BrightAI , Snorkel AI
Answer: Berkeley Neuromorphic contact info: Phone number: Website: https://berkeleyneuromorphic.com
Answer: Berkeley Neuromorphic grew out of years of engineering and research at the University of California and Lawrence Berkeley National Lab. Daniel Burke, its founder, works with a network of local engineering talent as well as joint business ventures with a shared interest for the implementation and acceleration of brain-inspired computing systems. We are developing advanced computational architectures, circuits, structures inspired by biology. The current focus is upon machine learning hardware also known as neuromorphic computing, specialized circuits for algorithm acceleration, and incorporation of those using standard Linux APIs. The goal is accelerated systems for machine learning tasks, gene assembly, life sciences, natural language processing, computationally intractable tasks, and deep vision consumer and defense applications.
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