Robots that can see around corners? New AI radar system makes it possible
Imagine if a self-driving car could spot a pedestrian before they step into view from behind a building.
Engineers at the University of Pennsylvania have...
Frequent AI chat linked to higher depression risk
Artificial intelligence tools have become part of everyday life for millions of people. Many use AI at work to write emails, summarize documents, or...
AI can read and diagnose brain scans in seconds
Medical imaging plays a critical role in diagnosing diseases of the brain, but reading and interpreting brain scans is a complex and time‑consuming task.
Today,...
MIT scientists turn waste heat into computing power with 99% accuracy
Researchers at Massachusetts Institute of Technology have demonstrated a surprising new way to compute—by using heat instead of electricity.
In a proof-of-concept study published in...
AI in breast screening can find more cancers
Breast cancer is one of the most common cancers among women worldwide. For decades, mammography screening has been one of the most important tools...
AI can detect prediabetes from ECG —no blood test needed
A new artificial intelligence tool called DiaCardia may soon make it possible to screen for prediabetes using only data from an electrocardiogram (ECG)—with no...
AI-powered blood test could predict type 2 diabetes early
Prediabetes is a condition that affects millions of people and increases the risk of developing type 2 diabetes.
It is a warning sign that the...
Daily AI chat use linked to higher risk of depression
If you spend a lot of time chatting with AI tools like ChatGPT, Microsoft Copilot, or Google Gemini, you might want to take a...
AI could help spot skin cancer early—even before a doctor visit
What if skin cancer could be spotted early, even before you visit a doctor? Scientists at the University of Missouri are working on that...
AI can predict fall risk in older people in belly scans
A new study from Mayo Clinic shows that artificial intelligence (AI) can help spot people who may be more likely to fall—even as early...