Language models are now also being used in the natural sciences. In chemistry, they are employed, for instance, to predict ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.

With the right prompts and a little creativity, AI can help you produce visually striking videos that bring your imagination to life.

September 30 - Companies are increasingly opting for a co-CEO structure as their operations become expansive, diverse and complicated. Notably, Oracle, Comcast and Spotify have recently appointed ...

Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macau 999078, China ...

Abstract: Energy disaggregation, also known as non-intrusive load monitoring (NILM), is a single-channel blind source separation (BSS) problem. It aims to decompose the total energy consumption of a ...

For scientists, learning more about how black holes behave is essential to understanding how the universe works. A recent discovery about what happens when black holes merge is also proving that ...

Various machine learning methods for detecting functional groups in infrared (IR) spectra have been developed to accelerate time-consuming and labor-intensive IR spectrum analysis. Nevertheless, ...

Abstract: As increasing gap of the shrinking ratio between device and metal pitches under advanced nodes, power-grid (PG) structure plays a critical role in circuit performance considering power ...