Tech
Google’s new AI System More Effective than Humans to Detect Lung Cancer
WASHINGTON – Scientists at Google have claimed that an Artificial Intelligence model developed by them is more effective than human experts in detecting the lung cancer. The AI-based system uses Deep Learning to detect malignant lung nodules on LDCT (low-dose chest computed tomography) scans. This would help to ensure the early diagnosis of lung cancer and hence, it will be possible to treat the disease in its earlier stage. An automated image evaluation system would help to enhance the accuracy in the early diagnosis of the deadly disease. While comparing the results with that of radiologists, it was found that the deep-learning based system works better than those radiologists.
Deep-learning technique uses 3D images. But radiologists carry out the diagnosis of lungs by detecting thousands of 2D images. Hence, it makes the whole process easier to detect any tumor with the help of 3D images.
A research assistant professor at Northwestern University in the United States, Mozziyar Etemadi, shared, “AI in 3D can be much more sensitive in its ability to detect early lung cancer than the human eye looking at 2D images. This is technically ‘4D’ because it is not only looking at one CT scan, but two over time. In order to build the AI to view the CTs in this way, you require an enormous computer system of Google-scale. The concept is novel but the actual engineering of it is also novel because of the scale.”
The research highlights the importance of AI-based technology, as it would make the entire screening process a lot easier if executed well. Hence, by early detection of lung cancer, it will be possible to reduce the mortality rate as lung cancer contributes to the highest number of deaths.
In the Deep-learning technology, both primary CT scan as well as prior CT scan results are taken into consideration. This makes it feasible to predict lung-cancer malignancy risk and hence detect the lung cancer in its earlier stage. The new AI-based system has been tested for over 6,000 de-identified CT scan sets in order to study its accuracy. And, it was found that this system helps to spot minuscule malignant nodules easily.
Tech
How iAsk Visual Search Captures and Delivers Detailed Insights from the World You See
Byline: Shem Albert
There are moments when the world around you sparks curiosity, yet you do not even know the word for what you are seeing. You describe it in painstaking detail, type and retype, scroll through search results, hoping something matches. Minutes pass, sometimes longer, just to uncover a simple answer. That experience of encountering something unfamiliar and struggling to put it into words is all too common, yet often goes unnoticed. With a single photo, however, everything changes. iAsk Visual Search bridges that gap. Suddenly, the mystery becomes an opportunity to learn, experiment, or act in the moment.
Turning Discovery into Action
Using iAsk Visual Search is simple, yet the possibilities it opens up are immediate. You open the app and snap a photo of the object, diagram, or scene that has caught your attention. Instantly, the app identifies what it sees and provides context, turning a moment of curiosity into a starting point for exploration. From there, you can ask follow-up questions to dig deeper, consider alternatives, or uncover how something works in practical terms.
This goes far beyond basic identification. Where traditional image recognition might simply name an object or offer a brief description, iAsk lets you continue the conversation. It remembers the image, so you can explore multiple layers of information without starting over. What begins as a single observation quickly expands into actionable insights you can apply immediately.
Real-World Applications in Everyday Life
The real test of significance for iAsk Visual Search is how it is used in a user’s everyday life. Novice cooks and experienced chefs can rely on it to identify an unfamiliar ingredient and ask follow-up questions, such as preparation tips, cooking methods, or possible substitutions. Users can experiment with complementary flavors or adapt recipes based on what is available in their pantry, reducing hesitation and encouraging culinary creativity.
A quick snapshot of a street sign, menu, or product label in a foreign language is another way iAsk Visual Search supports everyday tasks. Users can ask follow-up questions to clarify translations, understand cultural context, or receive practical guidance. This enables individuals to navigate unfamiliar environments with confidence and ease.
These examples illustrate how iAsk Visual Search can become a versatile companion in daily life. It can serve as a travel guide, a study aid, or a creative assistant. Artists, crafters, and curious hobbyists can explore materials, techniques, or designs with guidance that is immediate and interactive. Each interaction transforms curiosity into tangible results, empowering users to act on the knowledge they gain instantly.
A Tool That Stands Apart
iAsk Visual Search stands out for its interactive, context-sensitive design. Users can maintain an ongoing dialogue with the app, exploring details without losing sight of the original image. This makes it possible to investigate complex subjects and adapt the information to specific tasks.
Privacy and accessibility are central to the experience. Images are not stored, personal data is not tracked, and there are no ads to interrupt the workflow. The app is available across multiple platforms without subscription barriers, making it accessible to students, parents, hobbyists, and professionals alike.
Curiosity Translated into Results
iAsk Visual Search turns a simple photo into an understanding you can act on. Whether it’s decoding a diagram, identifying an object, or untangling a confusing concept, a snapshot instantly delivers context, explanations, and next steps. It doesn’t just show you — it teaches you, guiding each discovery into something useful.
Every question becomes a chance to learn, explore, or create. From the kitchen to the classroom, the trailhead to the studio, iAsk makes the world clearer and curiosity immediately productive.
Snap. Ask. Learn. Then act. The answers are there. All you need to do is iAsk.
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