Detecting

AI in Agriculture: Revolutionizing Plant Disease Detection and Overcoming Challenges In recent years, the integration of artificial intelligence (AI) in agriculture has shown promising potential to revolutionize the way we approach crop management and disease detection. One significant application of AI in agriculture is the detection of plant diseases, a critical task that directly impacts crop yield, food security, and economic stability. As we delve into the realm of AI-driven plant disease detection, it…

Prompt Experiments for Python Vulnerability DetectionPhoto by Alexander Sinn on UnsplashIf you are a software professional, you might dread opening the security scan report on the morning of a release. Why? You know that it’s a great tool for enhancing the quality and integrity of your work, but you also know you are going to spend the next couple of hours scrambling to resolve all the security issues before the deadline. If you are lucky, many issues will be false alarms, but you will have to manually verify the status…

The measuring station on the roof of the Institute of Geodesy and Photogrammetry receives data from GPS and other satellite navigation systems around the clock. Credit: ETH Zurich / Benedikt Soja An exceptionally severe storm swept over Zurich on 13 July 2021 shortly before 2 a.m., with howling squalls, constant lightning and torrential rain that awakened people with a start. …

In 2024, elections will take place in over 40 countries, which have more than 40% of global population. A study from the World Economic Forum says AI-driven misinformation could interfere with electoral processes in various countries, including India. Sam Gregory, executive director of Witness, a global human rights organisation, which uses video and technology to expose human rights abuses and has worked on the threats of AI and deepfakes, spoke to ET about AI related challenges and strategies in elections. Edited…

Atmospheric rivers, filaments of intense moisture transport in the atmosphere, can now be automatically detected in satellite observations. Credit: NOAA Atmospheric rivers (ARs) are filaments of intense moisture transport in the atmosphere. These weather systems drive a large fraction of the extreme precipitation events over coastal regions. Detecting ARs in satellite observations has long been a challenging task due to the…

Scientists have developed a handheld sensor for rapid and accurate detection of fentanyl in urine, showing potential for future saliva testing. This innovative device, which can detect trace amounts of fentanyl with 98% accuracy, offers a quick, portable solution for combating the opioid crisis by facilitating immediate result sharing with connected devices.The first-of-its-kind electrochemical test can identify trace quantities with a 98% accuracy rate.Researchers at the University of Texas at Dallas have created a…

MLOpsWhen should I retrain my model?Have you heard of lifelong learning? You might be familiar with the story: with today’s rapid technology advancements, what we learned at school will not set us up for professional success for our whole career. To stay useful in the job market, one needs to learn how to learn continuously. In this aspect of life, AI is not so different from us humans. Machine learning models’ knowledge becomes obsolete, too, and they need to relearn stuff just like we do. But when does a model become…

PII and Its Importance in Data Privacy In today's digital world, protecting personal information is of primary importance. As more organizations allow their employees to interact with AI interfaces for faster productivity gains, there is a growing risk of privacy breaches and misuse of personally identifiable information like names, addresses, social security numbers, email addresses, and more.  Unauthorized exposure or misuse of Personally Identifiable Information (PII) can have severe consequences, such as identity…

Most traditional fraud detection systems are slow, inaccurate, and outdated. Machine learning models can react swiftly and adapt constantly, making them the ideal alternative. Developers who properly train and implement these algorithms can prevent fraudulent activity at a scale never before seen.  Why Use Machine Learning Models for Fraud Detection? Fraud is growing more severe every year, causing increasingly significant damage. Online payment fraud caused $41 billion in e-commerce losses in 2022 alone. Conventional…

3D structures formed by human pancreatic cancer cells. WEHI researchers are working on developing the first diagnostic test for pancreatic cancer, that could help triple the survival rate of pancreatic cancer by 2030. Credit: WEHIPanKind’s funding supports vital research for a pioneering early-detection blood test for pancreatic cancer, potentially revolutionizing the diagnosis and treatment of this highly fatal disease in Australia.Research that could lead to the first early-detection blood test for pancreatic cancer has…