Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a ...

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful ...

Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in modern drug discovery when dealing with intrinsically disordered proteins.

Treatment with bispecific antibodies (BsAb) before chimeric antigen receptor T-cell therapy (CAR-T) compared with BsAb after CAR-T in patients seemed to be the more optimal treatment sequence in ...

Surprisingly the page is missing a nice way of computing the next term in F_n without any recursion. Given two consecutive entries a/b and c/d, the next term p/q is given by p = ((n + b) // d) * c - a ...

Abstract: This paper proposes a fast multi-spacecraft rendezvous sequence mission planning algorithm based on neural combinatorial optimization (NCO) and deep reinforcement learning (DRL). The ...

Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...

Abstract: The daily task planning problem (DTPP) in the ground control of satellites has been a significant focus for space scientists. Although various optimization methods have been devoted to ...