The major cost of conventional RFID tags comes from a microchip. To reduce the start-up cost, we develop a chipless RFID system that eliminates the use of the chip. This research organize the real-world issues of chipless RFID into four subjects, including the design of chipless tags, chipless RFID readers, reader signal processing,wireless propagation channel. We successfully integrate the four topics, developing a calibration-free, orientation-insensitive,high-capacity chipless RFID system with multi-tag detection capability.

Dynamic vision sensors have been investigated to report motion-only images for moving object recognition. Less but essential information helps post-process recognition algorithm reduces computationimproves accuracy. Implement low powerlow latency deep Learning chip based on neuromorphic Intelligence. The neuromorphic obstacle detection algorithm integrates visualproprioceptive signals. The algorithm is characterized by its efficiencylow power consumption. We possess the next-generation in-memory computing AI chipsnext-generation UAV key softwarehardware technology

A microfluidic diffraction device is developed for determination of CTC/bacteria from human whole blood with a home-constructed laser beam system. We design the optical structuretransfer the structure to transparent plastic substrate. The plastic diffraction die is modified with antibodies of the target to combine a fluidic system as a microfluidic diffraction chip. When human whole blood with CTCs/bacteria flows through the chip, the number of cells/bacteria can be obtained directly with label-free. The devices has been applied in clinical diagnosis of oesophagealendometrial cancer.

Given its own researchdevelopment advantages of biomedical core facilities, as well as testingverification capabilities, Taiwan Instrument Research Institute (TIRI) provides a one-stop service for medical device R&D teams from prototype counseling to product testingverification. Based on the medical device accelerator platform, TIRI assisted the medical device R&D teams to accelerate the commercialization of their R&D results. Through the Medical Device Service Platform, TIRI helps manufacturers join in combatting the pandemic.

In autonomous driving, LiDAR can clearly distinguish the objectsget the object information such as speeddistance at medium-range (~100 m) for autonomous driving scheme entering Level 3. Therefore, in this study, we combine the reflective optical phased array (OPA) chip1550-nm VCSELs with a photodetector, a ToF chip,a microcontroller to produce an eye-safe, all-solid-state,low cost (less than $100 USD) LiDAR module, which is the world＇s leading LiDAR technologymore cost-effective than the current products for autonomous vehicle market.

Our team has developed technology to build lung-on-a-chip with the aim of creating alternatives for animal researchachieving more accuratereliable preclinical experimental data.The chip＇s rapideffective screening ability will help the clinical community to reduce costsdrastically shorten the drug-development process.

The TSRI biomedicalepidemic prevention sensor chip platform uses multi-functional integrated design, with advanced sensorchip design technologies integrating with AI systems, to achieve the goal of diversified epidemic prevention. The platform is open for R&D teams from industryuniversities to develop genetic engineering modification of specific virus typesestablish DNA identification technology, as well as to accelerate development cycle for emerging virus detectorsshorten the virus detection time.

This product provides "Microfluidic sensing system for on-site rapid detection of early-stage acute kidney injury" for the hospital＇s intensive care unit, operating room, nephrology departmentcardiology department. It can replace the lengthycumbersome traditional instrumentationeasily access at the point of care.

Within 10 years, Taiwan will become a super senior society with the proportions in silver hairs of more than 20. Thus, a high-throughputsmart platform with bio-physiology-marker panels is developed for PD progression by combining the bio-medicalphysical sensors, SPRsmart circuit design, leading to a new UPDRS for a more accurateearly diagnosis of a physician.

Superconducting qubit is the basic structure for constructing the quantum computer in the current approach. The superconducting-quantum-bit simulation chips (SC-qubit chip) that consist of 1-4 qubits are manufactured locally by domestic researchers. The SC-qubit chip is designed for simulation of artificial atoms, their mutual interactionstheir interactions with microwavesvacuum fluctuations.

In the machining, the cutting between the toolthe material produces chips. Cutting parameterstool wear can affect the colorshape of the chips. According to the observer＇s experience, the cutting conditions for chip formation can be known. It means that using cutting chips to decide wear of cutting tools is theoretically a feasible method.

This research presents a genetic variant discovery SoC for analyzing Next-generation sequencing data which is embedded with the processorconnected with some peripherals. With hardware-optimized algorithm sBWT, we greatly speed up the process of short reads mapping by k-ordered FM-indexsuffix grouping. After short reads mapping, we utilized de bruijn graph for sequence assembly to rebuild haplotypes,built haplotypes are compared to the reference genome to detect genome variations. The detected variations are written to files for further clinical diagnosisresearch analysis.

Based on the mass production technique to fabricate 2D materials developed by our group, efficient gas sensors against NOx with sensitivity of 100 ppb are successfully demonstrated. In comparison to international competitors, our products exhibit superior sensitivityselectivity. Furthermore, the technique would be extended to other 2D materials to fabricate various gas sensors against multiple target gases. The integration with internet of things would then open new feasibilities for early monitoring in environmental pollutionhuman safety.

Cancer is the first leading cause of death in Taiwan. Targeted therapy allows the cancer cells to be specifically targeted, reduces the side effects,achieves the purpose of precision cancer treatment. This report contains two invention technologies which combined early & specific diagnosis of a specific Aurora-A mRNA isoform in cancers (the companion diagnosis)the treated with a selective locked nucleic acid (LNA)-modified novel double-stranded short interfering nucleic acid (siRNA) to inhibit the translation of this Aurora-A mRNA isoform (targeted therapy) in cancers.

This project designs a biomedical theranostic chip for neural disorders. It can not only function as an implantable device for treating the Parkinson＇s disease, depression, dementia, but also monitor physiological signals in wearable devices. For the development of medical device, the NeuLive system based on the microchip can accelerate the pre-clinical data collectionverification.

Lung-on-minilab is designed as a tool for personalized healthcarewill contribute in precision medicine. Here, the tumor microenvironment was reconstituted using liquid dielectrophoresisarranged as lung tissue. The size of pattern can be customized as stages of cancer. Additionally, this chip was equipped a gradient microfluidic channel which enabled testing combination of medications. This is the first device where chemotherapyimmunotherapy medications can be tested together. This will improve the screening timeserve as an alternative for patients in therapeutic try.

A phosphate-sensing chip was constructed by a copper phosphate-deposited electrode. The modification of ionic liquidplasticizer can improve the selectivity of phosphate anionsreduce the interference of sulfate, nitratechloride anions. The sensing chip equipped with a portable electrochemical device can directly detect the phosphate concentration of solution extracted from soil samples in ten minutes by using amperometry. The sensing chip promises the feasibility of detecting the phosphate concentration without expensive instrumentlabor-intensively chemical colorimetry.

The objective of this project is to develop a portablewireless urine detection systemplatform for prevention of cardiovascular disease. The main idea is to develop a system-on-chip, a microelectrodemicrochannel chip to detect biomarkers concentrations in urine. And then, it will be wirelessly transmitted to a smart application platform to evaluate user’s cardiovascular status.

The present sperm sorting chip utilities the upstream swim characteristic of sperms in appropriate fluid velocity to achieve up to 80 high motility sperm yield for infertile males in just 40 minutes

Low-power deep learning accelerator integrates neural network design / training, model compressionaccelerator design. It uses a small amount of computationmemory footprint to realize high performance on the edge device. The image semantic segmentation technology can reach 80 frames per second (resolution:1024*2048) to meet real-time requirements for autonomous driving.

This technology is a new microarray chip sensing technology that integrates "organic light-emitting diodes", "liquid crystal chemical sensors" and "mobile communication system" into "multifunctional liquid crystal smart cloud sensors". The obtained signals are uploaded to the cloud for multi-dimensional analysis to achieve multiplex detection in one single sample. This sensor device is lightweight, low-cost, simple to operate, and the target-of-interest can be custom-made according to user needs.

Under the support of the MOSTHigher Education SPROUT projects, we have successfully developed a new model of the FOG aiming for the sensing vibrational environment. Our miniaturized integrated optical gyroscope vibration sensors (CIGS), only 250 grams in weighthalf of a business card in footprint, feature high performance (bias stability 1o/hr)cost effectiveness. The sensor is the key to many applications such as the seismic front wave detectionthe vibration monitoring of volcanos, wind turbines, wafer isolation platform, high tension towers, buildings,vehicle bodies.

This demonstration presents an active-matrix, 1920x1080, 370 nm UV MicroLED display. There are 2,073,600 pixels fabricated on this display which is smaller than a dollar coin,its diagonal has an extremely high pixel density of 3200 pixels per inch (ppi). The size of each pixel is 5 μm in diameter,the pixel pitch is 8 μm. The key technology of this achievement lies in the fabrication of pixels with good characteristicshigh uniformity,the successful development of flip-chip technology combining MicroLEDdriving integrated circuit pixels. This result can display imagesvideos.

This project is to implement a 37-40 GHz mmWave transceiver supporting 4096 QAM modulationis utilized for long-distance 4K/8K real-time image data transmission. The 37-40GHz band is divided into 500 channels,the AI technology is used for the TRx to carry out digital calibration. The achievement is TRx module (SoC/SiP)would be installed on the UAV for wildlife resources monitoring.

The developed multi-functional bio-sensor chip has the advantages of excellent detection performance, wide application,low mass production. At present, we have already cooperated with upstreamdownstream manufacturers for mass production of the multifunctional bio-sensor chips. At the same time, cooperate with the instrument manufacturer to develop a simple portable electrochemical detect

1.Low-Power Processing-in-sensor CMOS Image Sensor 2.Implementation of Low-PowerLow-Latency Deep Learning Chip based on Neuromorphic Intelligence (collaborated with MOST 108-2622-8-007-009) 3.Development of Neuromorphic Chip based on The Fruit Fly VisualSpatial Sensory Systems 4.Hardware-Software Co-Design for Neuromorphic AI Chips

Assisted by in-house AI deep compression toolchain (ezLabel, ezModel, ezQUANT, ezHybrid-M), the proposed technology supports automatic AI model designoptimization with the integrated performance of 120x model size reduction70x power reduction in 2D CNN model,develops a world-first 1/2/4/8-bit CNN model realized by the developed high efficiency Hybrid fixed point CNN NPU (Hybrid-NPU), which has been verified in Xilinx ZCU102 FPGAachieves the performance up to 2.5 TOPS(8-b)/ 20TOPS(1-b)@28nm technology running at 550MHz4TOPS/W energy efficiency.

Electroplated nanotwinned Cu possesses excellent electrical & mechanical properties. It can be applied in three major joints: 1. Low thermal budget/ low resistance Cu bonding for high performance computing chip. We are able to achieve low temperature bondinginstant bonding. Low temperature bonding is performed at 150°C for 1 h to achieve low contact resistance copper bonding. Instant bonding is performed at 300°C for 5 seconds under a pressure of 90MPa achieve low contact resistance. 2. High strength/ High ductility copper lines in 3D-IC packaging We are able to fabricate high strength foils with tensile strength of 800MPa. After annealing at 150°C for 3 hours, the foil retains a tensile strength of 750MPa. 3. Cu foils for lithium ion battery