Reliable edge machine learning hardware for scientific applications.
Tommaso BaldiJavier CamposBenjamin HawksJennifer NgadiubaNhan TranDaniel DiazJavier M. DuarteRyan KastnerAndres MezaMelissa QuinnanOlivia WengCaleb GeniesseAmir GholamiMichael W. MahoneyVladimir LoncarPhilip C. HarrisJoshua AgarShuyu QinPublished in: VTS (2024)
Keyphrases
- machine learning
- machine learning algorithms
- low cost
- learning algorithm
- pattern recognition
- computer systems
- real time
- learning systems
- neural network
- hardware design
- personal computer
- hardware and software
- cost effective
- model selection
- edge detection
- text mining
- supervised learning
- information extraction
- decision trees
- computer vision
- artificial intelligence
- support vector machine
- knowledge acquisition
- knowledge representation
- data mining
- computing power
- reinforcement learning
- massively parallel
- hardware implementation
- hardware architecture
- explanation based learning
- edge map
- statistical methods
- data types
- natural language
- control system
- semi supervised