A5101282738- Periodontal Regeneration and Treatments
- 3D Modeling in Geospatial Applications
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Modular Robots and Swarm Intelligence
- Data Management and Algorithms
- Dental Implant Techniques and Outcomes
- CCD and CMOS Imaging Sensors
- Particle Accelerators and Free-Electron Lasers
- MXene and MAX Phase Materials
- Orthodontics and Dentofacial Orthopedics
- Particle Detector Development and Performance
- VLSI and FPGA Design Techniques
- Dental Radiography and Imaging
- 3D IC and TSV technologies
- VLSI and Analog Circuit Testing
- Particle accelerators and beam dynamics
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
Tsinghua University
2024
Shanghai Jiao Tong University
2023-2024
Shanghai Ninth People's Hospital
2024
University of Toronto
2023
Nowadays, artificial intelligence (AI) technology with large models plays an increasingly important role in both academia and industry. It also brings a rapidly increasing demand for the computing power of hardware. As AI continues to grow, growth hardware has failed keep up. This become significant factor restricting development AI. The augmentation is mainly propelled by escalation transistor density chip area. However, former impeded termination Moore's Law Dennard scaling, latter...
Abstract Bone healing remains a major challenge in the treatment of osteoporosis. Effective strategies that simultaneously promote bone formation and inhibit resorption are crucial for osteoporosis associated defects. MicroRNA (miRNA)‐based approaches aim at promoting suppressing have therapeutic potential. However, toxicity cationic carriers off‐target effects two challenges with miRNA delivery. This study establishes bone‐targeting delivery system (CH6‐SNA‐26a) integrates...
Given the increasing complexity of AI applications, traditional spatial architectures frequently fall short. Our analysis identifies a pattern interconnected, multi-faceted tasks encompassing both and general computational processes. In response, we have conceptualized "Orchestrated Workflows," an approach that integrates various with logic-driven decisions into dynamic, sophisticated workflows. Specifically, find intrinsic Dual Dynamicity Orchestrated Workflows, namely dynamic execution...
Deep learning (DL) models are piquing high interest and scaling at an unprecedented rate. To this end, a handful of tiled accelerators have been proposed to support such large-scale training tasks. However, these often incorporate numerous cores or tiles even extending wafer-scale, substantial on-chip bandwidth, distributed memory systems. This results in exceedingly complex design space. Moreover, conducting actual experiments find optimal configurations is impractical due time constraints....
Abstract Objectives: This study aims to investigate different treatments on new bone formation around immediate implants in the canine posterior mandible with varying sized mesial-distal gap. Materials and methods: The 4 th premolar 1 st molar of six Labrador dogs were extracted from mandible, dental placed mm below level buccal crest. Moderate/large gaps between sockets treated one four methods divided into following groups: (1) blank group, (2) collagen membrane (CM) (3) deproteinized...
Nowadays, artificial intelligence (AI) technology with large models plays an increasingly important role in both academia and industry. It also brings a rapidly increasing demand for the computing power of hardware. As AI continues to grow, growth hardware has failed keep up. This become significant factor restricting development AI. The augmentation is mainly propelled by escalation transistor density chip area. However, former impeded termination Moore's Law Dennard scaling, latter...