Video analytics are a big deal, but sending high-quality videos from edge devices to the cloud can be costly. It's not just about the money; it's also about the power and bandwidth used. So, how can we make this process more efficient? Enter LtC, a smart framework that teams up the video source and
AI systems are often tricked by sneaky inputs called adversarial examples. These inputs are tweaked just enough to confuse AI models, but not enough for humans to notice. The tricky part is making these examples work well on different AI systems without being too obvious. A new method called Diff-A
Ever wondered how scientists figure out what's in our bodies? It's not as easy as it sounds. They often use a method called metabolomics. This involves looking at tiny amounts of chemicals, or metabolites, in our cells. The problem is, there are lots of unknown metabolites out there. And without a r
Modern buildings are becoming more intelligent, with sensors monitoring various aspects like temperature and air quality. However, these sensors often fail to capture all necessary data, leading to gaps that can disrupt building management efforts. Researchers recently developed a clever solution t
Brain-inspired computers, called Spiking Neural Networks (SNNs), are great for low-power devices like wearables and sensors. But one key part, the leaky time constant (LTC), hasn't been fully studied. The LTC helps these computers process information over time. Scientists tested how changing the LTC
In the world of medical image analysis, a new tool called X-UNet is making waves. It's designed to help doctors and researchers better understand medical images by focusing on important details and patterns. X-UNet uses a special technique called the CFGC module. This module helps the tool to look
Time-based networks, like social media or online shopping platforms, show how connections change over time. Lately, scientists have focused on creating better models to understand these networks. But there's a catch: they haven't paid much attention to the quality of the "wrong" examples used to tra
Scientists are always looking for better ways to study the brain. One tool they use is called PET scanning. This tool helps them see how different parts of the brain work. But the data from these scans can be tricky to understand. One method to make sense of this data is called spectral analysis. I
Brain-computer interfaces (BCIs) are like translators between our brains and machines. They need to be super accurate to be useful. But, using just one type of model to read brain signals isn't always the best. That's where hybrid models come in. They combine different types of models to get better
Emergency rooms are super busy places. They see a lot of patients, and keeping track of everyone is a big job. Hospitals use digital systems to log patient info, but mistakes happen. At the Bordeaux University Hospital, over 90% of these logs have missing or wrong data. This is mostly because people
