The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...

When MIT Sloan researchers examined why so many companies were failing to derive value from generative AI pilots, the problem wasn’t the models; it was the data. The study found that most enterprise ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

The region of Italy’s Campi Flegrei was experiencing increased unrest beneath its land, which held one of Europe’s most dangerous volcanoes. Researchers looked into the earthquakes tormenting the ...

Sourcing matters: training on lawfully acquired or licensed data is assessed very differently from training on pirated datasets. Retention matters: retaining infringing works in centralized ...

If you've ever traveled through drylands, you may have noticed striking vegetation patterns—stripes, spots, or rings—scattered across otherwise barren landscapes. From "tiger bush" in West Africa to ...