116 results on '"Tang, Kea-Tiong"'
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2. LG-LSQ: Learned Gradient Linear Symmetric Quantization
3. POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons
4. A CMOS-integrated spintronic compute-in-memory macro for secure AI edge devices
5. Chemiresistive room temperature NO2 sensor based on nitrogen doped zinc oxide nanowires
6. Closed-Loop Bidirectional Neuroprosthetic Systems
7. Cross-site validation of lung cancer diagnosis by electronic nose with deep learning: a multicenter prospective study
8. FlowDep - An efficient and optical-flow-based algorithm of obstacle detection for autonomous mini-vehicles
9. 8-Bit Precision 6T SRAM Compute-in-Memory Macro Using Global Bitline-Combining Scheme for Edge AI Chips
10. Greyscale printing and characterization of the binder migration pattern during 3D sand mold printing
11. A four-megabit compute-in-memory macro with eight-bit precision based on CMOS and resistive random-access memory for AI edge devices
12. 34.8 A 22nm 16Mb Floating-Point ReRAM Compute-in-Memory Macro with 31.2TFLOPS/W for AI Edge Devices
13. 33.10 A 2.7ps-ToF-Resolution and 12.5mW Frequency-domain NIRS Readout IC with Dynamic Light Sensing Frontend and Cross-Coupling-Free Inter-Stabilized Data Converter
14. 34.2 A 16nm 96Kb Integer/Floating-Point Dual-Mode-Gain-Cell-Computing-in-Memory Macro Achieving 73.3-163.3TOPS/W and 33.2-91.2TFLOPS/W for AI-Edge Devices
15. Implementation of a Double-Path Flipped Voltage Follower Cell for Voltage Conveyors
16. Past, Present, and Future of CASS Educational Programs and Initiatives [Feature]
17. ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-$\mu $J/Sample On-Chip Learning for Edge-AI Applications
18. ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications
19. An Aging Drift Calibration and Device-Generality Network With Realistic Transfer Samples for Electronic Nose
20. Gas Prediction Method Based on Dynamic Response Analysis of Metal Oxide Sensors Under Temperature Modulation
21. Forehead BCG Signal Analysis: Characterization and Robust Detection of Heartbeats Using Cosine Similarity and Energy-Based Approach
22. A Rail-to-Rail Transconductance Amplifier Based on Current Generator Circuits
23. Development of Coffee Classification by Feature Selection and Classifier Optimization Based on An Electronic Nose
24. Deep neural network of E-nose sensor for lung cancer classification
25. Electronic nose in differentiating and ascertaining clinical status among patients with pulmonary nontuberculous mycobacteria: A prospective multicenter study
26. Recycled sand for sustainable 3D-printed sand mold processes.
27. A 5.3 pJ/Spike CMOS Neural Array Employing Time-Modulated Axon-Sharing and Background Mismatch Calibration Techniques
28. A 69MHz-Bandwidth 40V/μ s-Slew-Rate 3n V/√Hz-Noise 4.5 μ V-Offset Chopper Operational Amplifier
29. An 8b-Precision 8-Mb STT-MRAM Near-Memory-Compute Macro Using Weight-Feature and Input-Sparsity Aware Schemes for Energy-Efficient Edge AI Devices
30. A Nonvolatile AI-Edge Processor With SLC–MLC Hybrid ReRAM Compute-in-Memory Macro Using Current–Voltage-Hybrid Readout Scheme
31. A Floating-Point 6T SRAM In-Memory-Compute Macro Using Hybrid-Domain Structure for Advanced AI Edge Chips
32. An 8b-Precision 6T SRAM Computing-in-Memory Macro Using Time-Domain Incremental Accumulation for AI Edge Chips
33. SUN: Dynamic Hybrid-Precision SRAM-Based CIM Accelerator With High Macro Utilization Using Structured Pruning Mixed-Precision Networks
34. Security and Functional Safety for AI in Embedded Automotive System—A Tutorial
35. GEM: A Generalized Memristor Device Modeling Framework Based on Neural Network for Transient Circuit Simulation
36. A 8-b-Precision 6T SRAM Computing-in-Memory Macro Using Segmented-Bitline Charge-Sharing Scheme for AI Edge Chips
37. A Nonvolatile Al-Edge Processor with 4MB SLC-MLC Hybrid-Mode ReRAM Compute-in-Memory Macro and 51.4-251TOPS/W
38. A 22nm 832Kb Hybrid-Domain Floating-Point SRAM In-Memory-Compute Macro with 16.2-70.2TFLOPS/W for High-Accuracy AI-Edge Devices
39. A 22nm 8Mb STT-MRAM Near-Memory-Computing Macro with 8b-Precision and 46.4-160.1TOPS/W for Edge-AI Devices
40. 22.6 ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-O.1 μJ/Sample On-Chip Learning for Edge-AI Applications
41. Development of a Nondestructive Moldy Coffee Beans Detection System Based on Electronic Nose
42. Implementation of a Multipath Fully Differential OTA in 0.18-μm CMOS Process
43. 8-b Precision 8-Mb ReRAM Compute-in-Memory Macro Using Direct-Current-Free Time-Domain Readout Scheme for AI Edge Devices
44. An 8b-Precision 8-Mb STT-MRAM Near-Memory-Compute Macro Using Weight-Feature and Input-Sparsity Aware Schemes for Energy-Efficient Edge AI Devices
45. Room Temperature No2 Sensor Based on Nitrogen Doped Zinc Oxide Nanowires
46. A Nonvolatile AI-Edge Processor With SLC–MLC Hybrid ReRAM Compute-in-Memory Macro Using Current–Voltage-Hybrid Readout Scheme
47. A Floating-Point 6T SRAM In-Memory-Compute Macro Using Hybrid-Domain Structure for Advanced AI Edge Chips
48. Security and Functional Safety for AI in Embedded Automotive System – A Tutorial
49. A Multimode Vision Sensor With Temporal Contrast Pixel and Column-Parallel Local Binary Pattern Extraction for Dynamic Depth Sensing Using Stereo Vision
50. A 69MHz-Bandwidth 40V/μs-Slew-rate 3nV/√Hz-Noise 4.5μV-Offset Chopper Operational Amplifier
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