CERN
PulseAugur coverage of CERN — every cluster mentioning CERN across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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CERN launches Genesis Mission for self-improving AI
CERN is initiating the Genesis Mission to develop and deploy self-improving artificial intelligence models. This initiative aims to leverage AI for scientific advancement within the organization. The project is detailed…
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AI safety plans: Chip-level control, CERN-like projects, and deterrence
The article explores several "Plan A" scenarios for governing transformative AI, moving beyond a single proposal. One idea involves controlling AI development at the chip level, with integrated monitoring and remote kil…
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CERN Scientists Express Unease Over Rapid AI Advancement
Scientists at CERN have expressed concerns about the rapid advancement and potential implications of artificial intelligence, particularly in the realm of image generation. The sentiment suggests a growing unease within…
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AI Safety: Treaty and IAEA-style body favored over CERN approach
The author argues that establishing a "CERN for AI" is an impractical and ineffective approach to AI safety. Instead, they propose a phased strategy starting with immediate international regulations and red lines, follo…
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AI enables brain-to-word communication; LHC shuts down; e-scooters defy UK ban
A new technology has been developed that enables communication through brain waves without the need for surgery. This innovation utilizes AI to interpret brain signals and translate them into words, potentially revoluti…
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AI framework streamlines detector design optimization using distributed computing
Researchers have developed a new AI-assisted framework for optimizing detector designs, leveraging the Production and Distributed Analysis (PanDA) system. This framework integrates multi-objective Bayesian optimization …
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New framework enhances PLC formal verification with broader language support
Researchers have developed ESBMC-PLC+, a new framework for formally verifying Programmable Logic Controller (PLC) programs. This successor to PLCverif addresses limitations by supporting Ladder Diagram (LD) and Structur…
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Transformer models optimized for jet tagging on AMD Versal AI Engine
Researchers have developed a method to deploy transformer models for jet tagging on the AMD Versal AI Engine, a component of the Large Hadron Collider's trigger system. This approach quantizes the models to use only int…
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Transformer models optimized for CERN jet tagging on AMD AI Engines
Researchers have developed a method to deploy transformer models for jet tagging on the AMD Versal AI Engine, a task crucial for the CERN Large Hadron Collider's trigger systems. This approach involves a quantized, inte…
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Former Vox Producer's YouTube Science Show Garners 2.8 Billion Views
Cleo Abram, a former producer for Vox Media, left her role to create her own YouTube channel, "Huge If True," focusing on optimistic science and technology. The channel, with 7 staff members, has garnered 8.2 million su…
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CERN researcher calls AI impact on open repositories a 'DoS attack'
Alexandros Ioannidis of CERN has characterized the impact of AI on open repositories like Zenodo as a "DoS attack on human resources." He illustrated his points using various depictions of hell from renowned artists. Th…
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AI coding startup Lovable eyes $12B valuation in new funding round
AI coding startup Lovable is reportedly in talks to secure new funding at a $12 billion valuation, nearly doubling its previous valuation from December. The company has achieved significant growth, surpassing $400 milli…
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New method tackles anomaly causality discovery in large systems
Researchers have developed a new approach called AnomalyCD to efficiently discover causal relationships in large-scale systems using temporal binary anomaly data. This method addresses the significant computational burd…
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LLMs create fake author personas that haunt web and academic publishing
A new research paper reveals that large language models generate correlated "ghost" personas, such as Elena Vasquez and Marcus Chen, who appear across numerous AI-generated documents as experts or co-authors. These corr…
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New AI Model Enhances Signal Purification for High-Luminosity LHC
Researchers have developed PhyGHT, a novel Physics-Guided Hypergraph Transformer, to improve signal purification for the High-Luminosity Large Hadron Collider (HL-LHC). This architecture combines graph attention with gl…
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jBOT uses self-distillation to cluster jet representations for LHC data
Researchers have developed jBOT, a novel self-supervised learning method for analyzing particle physics data from the CERN Large Hadron Collider. This technique utilizes self-distillation, combining local and global dis…
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New HGQ-LUT and da4ml methods speed up DNN training and FPGA deployment
Researchers have developed HGQ-LUT, a new method for training lookup-table (LUT) based neural networks that significantly speeds up the training process, making it over 100 times faster on modern GPUs. This approach int…