Over the past decade, fuzzers have become the most widely used tools to test software security and robustness. Generating ...

Authors must remain vigilant in maintaining academic integrity, particularly when AI is involved. Authors should verify the ...

Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

Large numbers of MS/MS peptide spectra generated in proteomics experiments require efficient, sensitive and specific algorithms for peptide identification. In the Open Mass Spectrometry Search ...

ConspectusDeveloping a new system of material chemistry is an important molecular foundation for the design and preparation of functional materials, which resembles the preparation of raw materials ...

We examine the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched ...

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, ... For example, our ppo_atari.py only ... CleanRL has ...

A new image cryptosystem based on neuron-like scheme is proposed in this paper. As a non-linear component of image cryptosystem, neuron-like learning algorithm can realize a kind of memorable ...

Decades of research shows our tendency to treat machines like magical answer boxes. No wonder AI nonsense keeps showing up in court filings, news articles and a White House report. June 3, 2025 ...

A novel two-step intelligent algorithm is proposed for structural damage detection (SDD) by combining particle swarm optimization and Nelder-Mead (PSO-NM) algorithm, in which two steps are deployed ...