Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

As AI and quantum collide, we get huge leaps in power — along with a scramble to secure our data, trust the results and brace ...

Think of the Blind 75 as a special list of 75 coding puzzles from a website called LeetCode. It’s like a training plan for ...

Far beyond Neptune, at the far outer rim of our Solar System, astronomers have spotted what looks like a hidden “structure” ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

Industry experts broadly agree that DPDP introduces long-awaited structure, but its silence on several AI-specific realities ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

GitHub is more than just a place to store your code. It’s like a giant library of projects built by developers all over the world. By looking at these projects, you can see how real apps are made, ...