Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Lidar-Guided Geometric Pretraining Enhances Performance of Vision-Centric 3D Object Detection Background Introduction In recent years, multi-camera 3D object detection has garnered significant attention in the field of autonomous driving. However, vision-based methods still face challenges in precisely extracting geometric information from RGB imag...

Early Detection of Pancreatic Cancer by a High-Throughput Protease-Activated Nanosensor Assay

New Method for Early Detection of Pancreatic Cancer—A Protease-Activated Nanosensor Assay Background Pancreatic Ductal Adenocarcinoma (PDAC) is one of the leading causes of cancer-related deaths worldwide. Due to its nonspecific early symptoms, most patients are diagnosed at advanced stages, resulting in limited treatment options and poor prognosis...

Free-Electron Resonance Transition Radiation via Brewster Randomness

Study on Free-Electron Resonance Transition Radiation via Brewster Randomness Academic Background Free-electron radiation, such as Cherenkov radiation and transition radiation, is a fundamental mechanism of light emission when electrons interact with media. These phenomena have wide-ranging applications in nuclear physics, cosmology, electron micro...

Flexible No-Drift Data Glove Using Ultrathin Silicon for the Metaverse

Academic Background With the rapid development of the Metaverse, human-machine interface (HMI) technology has become a key link between virtual space and human users. Among these, gesture recognition technology is particularly important in the Metaverse, especially the precise capture of finger movements. Traditional bending sensors used for gestur...

Ultralow-Power Carbon Dioxide Sensor for Real-Time Breath Monitoring

Research on an Ultra-Low Power Carbon Dioxide Sensor for Real-Time Breath Monitoring Academic Background Carbon dioxide (CO₂) is a critical gas produced during human respiration, and its real-time monitoring is essential for diagnosing and treating respiratory diseases (e.g., asthma, dyspnea, sleep apnea) as well as metabolic disorders. Traditional...

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules Background Gastrointestinal (GI) diseases, such as inflammatory bowel disease, GI bleeding, and cancer, are significant global health issues. Traditional treatment methods, such as endoscopy and oral medications, though effective to some extent, have many limitatio...

Deep-Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring

Deep Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring Academic Background Electronic skin (e-skin) is a technology capable of sensing physiological and environmental stimuli, mimicking human skin functions. In recent years, the potential applications of e-skin in fields such as robotics, sports science, and healthcare monitori...

Investment Micro-Casting 3D-Printed Multi-Metamaterial for Programmable Multimodal Biomimetic Electronics

Research on Multi-material Biomimetic Electronics Based on Investment Micro-casting 3D Printing Academic Background With the rapid development of biomimetic electronics, electronic skin (E-skin) and flexible sensors that mimic human perceptual functions have shown broad application prospects in robotics, medical devices, and human-computer interact...

Floating Electricity Generator for Omnidirectional Droplet Vibration Harvesting

Floating Electricity Generator for Omnidirectional Droplet Vibration Harvesting

Floating Omnidirectional Droplet Vibration Generator: Breakthrough Research Academic Background With the widespread application of Internet of Things (IoT) devices in marine environmental monitoring, how to provide stable power to these devices without relying on the power grid has become an urgent issue. Traditional renewable energy sources such a...

Deep Bayesian Active Learning Using In-Memory Computing Hardware

With the rapid development of artificial intelligence (AI) technologies, deep learning has made significant progress in complex tasks. However, the success of deep learning largely relies on massive amounts of labeled data, and the data labeling process is not only time-consuming and labor-intensive but also requires specialized domain knowledge, m...