Researchers are making use of an AI-enabled wearable device to capture their patient’s physical actions over long periods of time. The data from this wearable will help researchers to understand the effect of new drugs on these patients which are suffering from the Parkinson’s disease.

With the global population projected to reach nearly 10 billion by 2050, prioritizing rapid and accurate monitoring is crucial. Researchers emphasize the need for collaboration across various fields, including agronomy, engineering, medicine, and materials science, to harness the full potential of new technologies.

Collaborative robots or more popularly known as ‘cobots’ are being used in laboratories all over the world. Compact, lightweight and its ability to automate tedious and repetitive tasks within the lab with extreme precision and accuracy make the cobots a ‘must have’ in any lab setting.

Researchers have developed a new transistor which can mimic the human brain and is capable of higher-level thinking. The device can not only carry out simple machine-learning tasks to categorize data but is also capable of performing associative learning.

A new AI tool has the potential to predict outcomes in invasive breast cancer. With the help of this tool, breast cancer patients can be spared with unnecessary treatments.

A new AI model developed by chemists at ETH Zurich can not only predict where a pharmaceutically active molecule can be chemically modified, but also how best to do it. This makes it possible to identify new pharmaceutical ingredients more quickly and improve existing ones in a targeted manner.

With the increase of remote collaborations among scientists and inventors across the world, a study led by the universities of Oxford and Pittsburgh have mentioned that remote teams were less likely to make breakthrough discoveries as compared to those who worked onsite.

Researchers from Brown University have developed a software that makes use of AI language models to break down instructions for the robot and also removes the need for training data. Thus, making it seamless for humans to communicate with robots.

Researchers have tested a new way to improve artificial neural networks defense in AI systems. The method is expected to protect sensitive AI-based applications from attackers.

Order wine at a fancy restaurant, and the sommelier might describe its aroma as having notes of citrus, tropical fruit, or flowers. Yet, when you take a whiff, it might just smell like … wine. How can wine connoisseurs pick out such similar scents?