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Pharma executives dismiss AI-cures-all-diseases claims; no FDA-approved AI-designed drug exists yet.
LLMs can audit and repair clinical neural networks by reading/writing raw weights, tested on radiotherapy screening models.
Technical improvement to physics-informed neural networks using Hodge-de Rham cohomology for topological domains; specialized scientific computing technique.
ARLoop: parameter-efficient looped transformer with attention-based residuals allowing selective reuse of intermediate representations across recurrent depth.
PLANTEUR: open-source crop-type segmentation benchmark for tropical regions using Sentinel-2/1 and Landsat-8 with cross-territory generalization evaluation.
BREM-NET: nonlinear multimodal neural fusion model integrating spiking, LFP, and behavioral data for brain-behavior understanding.
Yesterday's hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab. The paper found that frontier models, in particular GPT-6 Astra, can both interpret and modify the raw weights of a machine learning model - literally a text description of the model containing a bunch of floating point numbers. I've been playing with one of the examples from the paper and I'm delighted to share that Qwen 3.8 27B running on my laptop can do this as well! Weight-Space Programming Here's the highlight fr...
Evidence suggests a model may have generated and revised commands during the ransom gang's breach, though researchers stopped short of claiming full automation.
Hybrid neural-process models with asymmetric optimization explore equifinality in evapotranspiration partitioning without constraining internal mechanism disagreement.
GNN explanation evaluation via deletion fidelity is ambiguous; structural deletion vs. message suppression yield different intervention semantics and faithfulness measurements.
Study challenges BLEURT-based automatic hallucination labels in LLMs, identifying bias and methodological issues in ground-truth construction for detector evaluation.
MIMIC-Note-Extract: structured dataset from MIMIC-IV discharge summaries using hybrid deterministic and LLM extraction for clinical NLP; reusable resource for healthcare AI builders.
Sheaf-MPNN library implementing Sheaf Neural Networks for heterophilic graphs with per-node/edge feature spaces; open-source GNN infrastructure reducing computational overhead.
Comparison of feature-based ML vs. deep learning for variable star classification on ZTF dataset; astronomy-domain study showing classical models outperform neural nets.
Study removes data leakage from graph neural network intrusion detection protocols; shows residual GCN gains diminish when train/test split and duplication issues fixed.
Therapy-FIS dataset introduces labeled psychotherapy recordings for automated assessment of mental health professional interpersonal skills.
Kai Nicol-Schwarz / CNBC: UK energy company Drax partners with Brookfield and neocloud Radiant to develop an AI data center in North Yorkshire, targeting 100MW of capacity by Q1 2028 — Brookfield is targeting a massive artificial intelligence data center in the north of England, as Europe scrambles to develop infrastructure …
Neural operators on subsampled meshes lose boundary information; SCANO restores completeness for 3D thermal field modeling.
CNN-based estimator reduces bias in realized skewness from high-frequency financial data, outperforming prior methods.
Spectral Quantum Memory Model couples quantum layers via shared coherent memory for improved implicit neural representations.
Ground-Wing CFD dataset benchmarks neural surrogate models for 3D aerodynamic prediction across 770 parameterized wing configurations.
Simple-to-complex curricula succeed in humans and neural networks via simplicity bias and representation compression.
Nvidia CEO Jensen Huang's latest European trip has highlighted another strategic priority: using massive computing resources to simulate quantum systems and establish a foothold in the underlying quantum computing ecosystem.
EU AI Act Q&A benchmark evaluates LLM assistants on regulatory compliance tasks with 110 expert-curated questions.
US semiconductor intellectual property (IP) provider Ceva has expanded its NeuPro neural processing unit (NPU) portfolio into AI infrastructure for the first time. At a November 2 press conference in Taiwan, chief strategy officer Iri Trashanski said the company was not seeking to compete with Nvidia or other major chipmakers, but to meet demand for a common architecture spanning edge AI and cloud computing.
Fairness evaluation framework for compact decision models in high-stakes recruitment under EU AI Act requirements.
Europe is scrambling to develop infrastructure to support the rollout of AI amid high energy and land costs.
Discover how Heimstaden uses OpenAI’s ChatGPT Enterprise and Codex to transform property management, cut costs, and empower employees across Europe.
Weight Space Programming enables LLMs to directly edit neural network weights; demonstrated on Qwen and DeepSeek for reasoning optimization.
LIRA dynamically allocates LoRA ranks based on per-layer loss signals instead of fixed profiles or heuristics.