41-year-old Angelo Martino, a former employee of cybersecurity incident response company DigitalMint, has pleaded guilty to targeting U.S. companies in BlackCat (ALPHV) ransomware attacks in 2023. [..…
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41-year-old Angelo Martino, a former employee of cybersecurity incident response company DigitalMint, has pleaded guilty to targeting U.S. companies in BlackCat (ALPHV) ransomware attacks in 2023. [..…
Nonprofit security organization Shadowserver found that over 6,400 Apache ActiveMQ servers exposed online are vulnerable to ongoing attacks exploiting a high-severity code injection vulnerability. [..…
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arXiv:2604.16922v1 Announce Type: new Abstract: Climate research is pivotal for mitigating global environmental crises, yet the accelerating volume of multi-scale datasets and the complexity of analyt…
arXiv:2604.16913v1 Announce Type: new Abstract: Decentralized Autonomous Organizations (DAOs) are inclined explore Small Language Models (SLMs) as edge-native constitutional firewalls to vet proposals…
arXiv:2604.16911v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly extended at runtime via skill packages, structured natural-language instruction bundles loaded from a…
arXiv:2604.16902v1 Announce Type: new Abstract: Native Omni-modal Large Language Models (OLLMs) have shifted from pipeline architectures to unified representation spaces. However, this native integrat…
arXiv:2604.16890v1 Announce Type: new Abstract: Large reasoning models that use long chain-of-thought excel at problem-solving yet waste compute on redundant checks. Curbing this overthinking is hard:…
arXiv:2604.16871v1 Announce Type: new Abstract: Neuro-symbolic Reinforcement Learning (NeSy-RL) combines symbolic reasoning with gradient-based optimization to achieve interpretable and generalizable …
arXiv:2604.16859v1 Announce Type: new Abstract: Accurate traffic forecasting is crucial for intelligent transportation systems, supporting effective traffic management, congestion reduction, and infor…
arXiv:2604.16835v1 Announce Type: new Abstract: Shanghai Composite Index prediction has become a hot issue for many investors and academic researchers. Deep learning models are widely applied in multi…
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