Machines talking to each other without a middleman? That's the big idea behind Tashi, a new way to make devices work together in real time. Right now, most machines rely on big cloud services like AWS or Google Cloud to communicate. But these services can be slow, expensive, and sometimes just plain
Machines are now able to solve complex problems without constant human guidance. This is a significant shift from the past when computers relied heavily on human input to learn. Now, they can learn independently, much like how children learn through exploration and trial and error. These advanced m
CT scans are a crucial tool in modern medicine, but their widespread use comes with a hidden cost. These scans use X-rays to create detailed images of the body, helping doctors diagnose a wide range of conditions. However, the radiation from these scans can potentially cause cancer. Recent resear
CT scans have become a staple in modern medicine. They help doctors spot and track various health issues. However, they come with a hidden cost. These scans use ionizing radiation, which can raise the risk of cancer. A recent study tried to figure out just how much this risk is. The findings are eye
CT scans are a common tool in modern medicine. They help doctors spot and diagnose health issues. They also guide medical procedures. But there is a catch. These scans expose people to ionizing radiation. This type of radiation is known to cause cancer. A recent study shed light on this issue. It su
CTNNB1 disorder is a neurological condition that affects many people. It is caused by a problem with a gene called CTNNB1. This gene is important for brain development. When it doesn't work right, it can lead to a range of neurological issues. Scientists have created special stem cells from two peop
Machines have an opinion on most things. Who hasn't wondered: Are robots better at giving advice than humans? We have friends and family we trust but would you go to a robot for advice? The idea of asking a machine for advice might seem weird. It sounds strange but they can give some good advice.
CT scans are crucial for spotting chest diseases. The quality of these images largely depends on their spatial resolution. Thick-slice CT, which is still commonly used due to cost concerns, has a lower spatial resolution that can make diagnoses tricky. Researchers recently developed a deep learning
