One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

We reformulate a deterministic optimization problem as a filtering problem, where the goal is to compute the conditional distribution of the unobserved state given the observation history. We prove ...

True randomness can make software programs safer, help prediction models operate better. But for decades, it simply didn’t seem possible. That has now changed.

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

We compare the proposed algorithm with other state-of-the-art graph matching algorithms based on a single-layer structure using synthetic and real data sets and demonstrate the superior performance of ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Unlocking the Aft Booru Secrets Revealed is like stepping into a whole new world of visual delight that you never knew you needed. This article gonna dive ...

A I is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, ...