Researchers demonstrate a system that effectively answers patient-focused clinical questions by leveraging efficient fine-tuning techniques and improved evidence retrieval.
New research shows that chemical reaction networks can still perform complex computations-even with reactions running in reverse-as long as a stable state remains accessible.
A new challenge in information retrieval focuses not just on finding relevant documents, but on identifying which sources have authority over others.
New research establishes fundamental limits on the bandwidth needed to efficiently switch between different data protection schemes.
This review explores advancements in algorithms for analyzing complex Markov chains, offering a pathway to efficient computation for systems with an unlimited number of states.
A new computational framework combines advanced wavefunction theory with density embedding to tackle challenging calculations of weakly interacting systems and excited states.
This review explores how preserving symmetry within contact interactions offers a powerful framework for understanding the structure of mesons and diquarks.
A novel framework, NFTDELTA, leverages multi-view learning and static analysis to identify critical permission control flaws in Non-Fungible Token smart contracts.
This review explores a framework for designing both the encryption settings and control parameters in networked systems to maintain performance and resilience against communication delays.
![The experiment-spanning [latex] 10^8 [/latex] operations per thread across four memory locations-demonstrates that load times remain consistently flat regardless of thread count, while store, load-cas, and load-store operations increase linearly with thread count-a result fully aligned with predictions from CRQW models.](https://arxiv.org/html/2604.14530v1/img/fig_scaling.png)
New algorithms minimize latency in concurrent systems by intelligently resolving contention for read/write registers and compare-and-swap operations.