Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Abstract: The concept of a decentralized smart grid has emerged as a viable approach for efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

The demand for skilled professionals in the digital world is growing rapidly. With businesses increasingly relying on online ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance mechanisms can be identified based on a pathogen’s genetics. However, the ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

2025 Guidance -- First quarter GMV forecasted at $90 million to $96 million (down 2% to up 5%), net revenue at $21.7 million ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

To support professionals in overcoming this gap, we have selected five university-backed AI programs that emphasise ...

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...

Rahul Kasanagottu is an engineer at Google who pivoted to an AI role at the company after a 2.5 year upskilling journey.