From specialized motors to the use of machine learning algorithms, Turkey’s billion-dollar hair-transplant industry is the ...

Predictive analytics using IoT sensors and data analytics to monitor equipment condition in real time and predict potential ...

Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.

The working group built a hybrid tool that could take in raw data, extract new information from text using large language ...

At a deeper level, AI has tended to be perceived as a technology deployment rather than an enterprise capability.

The finding most relevant to AI is that this only works when the network is deep enough. The researchers found that iterated ...

AI and news drive crypto markets, converting headlines to trades in milliseconds via NLP, scoring sentiment, and detecting ...

A new study uses deep linear networks to prove that language undergoes iterated learning to become structured and learnable.

Dr Raminderpal Singh speaks with Dr Srijit Seal about why specialised AI agents are outperforming general-purpose models in ...

People are exposed to thousands of chemicals every day—through the products they use, the food they eat and the environments they live in—but only a fraction of those chemicals have been fully tested ...

Portfolio management head outlines how algorithmic execution and AI-driven research are reshaping performance.

Imagine technologies like computer vision augmenting pothole identification capabilities and sending an automated robot to ...