Pallab Datta
59Patents
7h-index
31Co-inventors
68Inventor score
Filing activity: Jun 15, 2012 → Oct 13, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10621489B2 | Massively parallel neural inference computing elements | Electricity | 23 | Active |
| US9466022B2 | Hardware architecture for simulating a neural network of neurons | Physics | 21 | Active |
| US9971965B2 | Implementing a neural network algorithm on a neurosynaptic substrate based on metadata associated with the neural network algorithm | Physics | 11 | Active |
| US9087301B2 | Hardware architecture for simulating a neural network of neurons | Physics | 11 | Active |
| US8924322B2 | Multi-processor cortical simulations with reciprocal connections with shared weights | Physics | 10 | Active |
| US9053429B2 | Mapping neural dynamics of a neural model on to a coarsely grained look-up table | Physics | 9 | Active |
| US9704094B2 | Mapping of algorithms to neurosynaptic hardware | Physics | 7 | Active |
| US11205125B2 | Scheduler and simulator for an area-efficient, reconfigurable, energy-efficient, speed-efficient neural network | Emerging Cross-Sectional Technologies | 7 | Active |
| US9373058B2 | Scene understanding using a neurosynaptic system | Physics | 7 | Active |
| US10204301B2 | Implementing a neural network algorithm on a neurosynaptic substrate based on criteria related to the neurosynaptic substrate | Physics | 6 | Active |
| US10552740B2 | Fault-tolerant power-driven synthesis | Physics | 6 | Active |
| US10043110B2 | Scene understanding using a neurosynaptic system | Physics | 5 | Active |
| US10354183B2 | Power-driven synthesis under latency constraints | Emerging Cross-Sectional Technologies | 5 | Active |
| US9536179B2 | Scene understanding using a neurosynaptic system | Physics | 5 | Active |
| US10338629B2 | Optimizing neurosynaptic networks | Physics | 4 | Active |
| US9984323B2 | Compositional prototypes for scalable neurosynaptic networks | Physics | 4 | Active |
| US10282658B2 | Hardware architecture for simulating a neural network of neurons | Physics | 3 | Active |
| US10558892B2 | Scene understanding using a neurosynaptic system | Physics | 3 | Active |
| US9852370B2 | Mapping graphs onto core-based neuromorphic architectures | Physics | 2 | Active |
| US10317930B2 | Optimizing core utilization in neurosynaptic systems | Physics | 2 | Active |
| US10635969B2 | Core utilization optimization by dividing computational blocks across cores | Physics | 2 | Active |
| US9424284B2 | Mapping neural dynamics of a neural model on to a coarsely grained look-up table | Physics | 2 | Active |
| US11157795B2 | Graph partitioning and placement for multi-chip neurosynaptic networks | Physics | 1 | Active |
| US11645501B2 | Distributed, event-based computation using neuromorphic cores | Physics | 1 | Active |
| US11501140B2 | Runtime reconfigurable neural network processor core | Physics | 1 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.