Machine Learning

Researchers have analyzed blood proteins to estimate the biological - as opposed to the chronological - age of bodily organs to predict a person’s risk of disease. The approach may lead to the earlier detection of disease in apparently healthy people.

Researchers are using machine learning to analyze satellite radar data to detect icebergs in the Southern Ocean around Antarctica as a way to better understand their life cycle and environmental impact.

Noise-cancelling headphones are great for blocking out the loud talkers and chaotic coffee shops of the world, but what if there are certain sounds that you want to hear? That's where the experimental new "semantic hearing" system could soon come in.

Researchers have developed an implant that records brain signals to decode what people are trying to say. While still early days, the device may provide people who’ve lost speech due to neurodegenerative disease with the ability to communicate.

Elon Musk, who cofounded OpenAI but walked away from the company in 2018, has finally rolled out his long-threatened xAI chatbot to some US X users. The sassy, snarky Grok, like much of what Musk touches, has people equally excited and concerned.

AI machine learning uses so much computing power and energy that it's typically done in the cloud. But a new microtransistor, 100X more efficient than the current tech, promises to bring new levels of intelligence to mobile and wearable devices.

Researchers have developed a scalpel with built-in force-measuring sensors and coupled it with a machine-learning model that could streamline how doctors are trained to perform surgery and pave the way for automated surgical devices.

Physicists have combined nanotechnology, artificial intelligence and molecular biology to design a novel method that can detect Alzheimer’s disease protein markers in blood that are the tell-tale signs of early neurodegeneration.

Researchers have used AI to identify the factors that predict an adolescent’s risk of self-harm and attempting suicide. They say their model is more accurate than existing risk predictors and could provide individualized care to vulnerable patients.

Nano-engineering happens all day long in our bodies, and California startup Aether is designing and testing millions of new enzymes to do a range of other useful tasks – like directly extracting battery-grade lithium from sources nobody else can use.

Two separate, recently published studies have demonstrated how combining brain sensors and AI to create a brain-computer interface (BCI) gave two women with the inability to speak a voice. It's hoped the tech will soon be able to assist more people.

Researchers have used machine learning to assess bone density scans for calcification in the aorta, the body’s main artery. They say their method could be used to predict future cardiovascular and other disease, even before symptoms appear.