Python's influence in AI development is undeniable, bridging the gap between human intelligence and machine learning ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

One of the biggest early successes of contemporary AI was the ImageNet challenge, a kind of antecedent to contemporary ...

Significantly, this is the first time that the state is using AI to fight deforestation. According to the 2023 report by the ...

Arnab Kar is a founding member of Data Science and Machine Learning considered the new generation of professors; his academic ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

A new paper by investigators from Mass General Brigham showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy.

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

The resulting PAM machine learning algorithm (PAMmla) predicted the PAMs of some 64 million SpCas9 enzymes. It then identified efficacious and specific enzymes that outperformed existing evolution ...