This Zenodo record contains the complete reproducibility package for the study Structural Representation in Crystal Property Prediction: A Controlled Benchmark on Band Gaps. The benchmark evaluates how structural representation, model capacity, and training-data availability affect crystal band-gap prediction under a c...
Matthew Osvaldo, Matthew Jun Hao Kang, ETHAN YICONG Pang et al.· Zenodo (CERN European Organi...· 0 citations
ABSTRACT Classical cognitive psychology has historically explored intuition as a heuristic, an evolutionary mental shortcut often susceptible to cognitive biases (System 1). This paper proposes an alternative framework grounded in the HEPOE Theory (High Entropy Predictive Organization Efficiency), suggesting that intui...
Camila Leão de Matos Brezolin, Sidnei Brezolin de Freitas· Zenodo (CERN European Organi...· 0 citations
This dataset contains the processed graph inputs and corresponding target labels used to train, validate, and independently evaluate the primary DefectGNN model. The data represent equiatomic atomic configurations encoded as graph for graph neural network regression.Each dataset includes a CSV file listing the serializ...
ABSTRACT Classical cognitive psychology has historically explored intuition as a heuristic, an evolutionary mental shortcut often susceptible to cognitive biases (System 1). This paper proposes an alternative framework grounded in the HEPOE Theory (High Entropy Predictive Organization Efficiency), suggesting that intui...
Camila Leão de Matos Brezolin, Sidnei Brezolin de Freitas· Zenodo (CERN European Organi...· 0 citations
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Twelve irreducible operations (P1-P12) with known physical implementations, and four without, as a basis for deciding which parts of a neural network belong in the analog domain. 114 algorithms are factored into these primes; the paper builds a compiler that decomposes a compute graph, assigns each prime to a domain, f...
Michael Bieg· Zenodo (CERN European Organi...· 0 citations
Overview Contemporary Large Language Model (LLM) agent architectures treat memory primarily as retrieval over an append-only retrospective log. This paradigm incurs four foundational operational pathologies: Retrospective bias: Memory prioritises what was logged over what is dynamically needed. Write-time salience fixa...
Amity, Andrew Craucamp· Zenodo (CERN European Organi...· 0 citations
Overview Contemporary Large Language Model (LLM) agent architectures treat memory primarily as retrieval over an append-only retrospective log. This paradigm incurs four foundational operational pathologies: Retrospective bias: Memory prioritises what was logged over what is dynamically needed. Write-time salience fixa...
Amity, Andrew Craucamp· Zenodo (CERN European Organi...· 0 citations
Advanced drug delivery systems (DDS) — including polymeric and lipid nanoparticles, lipid nanoparticles (LNPs) for nucleic acid therapeutics, solid oral dosage forms, and three-dimensional (3D)-printed and stimuli-responsive platforms — require the simultaneous optimization of dozens of interacting formulation and proc...
Avinash Bajpai, Sachin Sharma· Zenodo (CERN European Organi...· 0 citations
This dataset contains the processed graph inputs and corresponding target labels used to train, validate, and independently evaluate the primary DefectGNN model. The data represent equiatomic atomic configurations encoded as graph for graph neural network regression.Each dataset includes a CSV file listing the serializ...
Background Deep brain stimulation (DBS) is an established therapy for movement and psychiatric disorders, yet its effects vary substantially across individuals. The pre-operative brain provides the individual circuitry upon which DBS acts, but how this circuitry shapes surgical outcomes remains poorly characterized. Me...
Y. Bai, Tiffany A. Rodrigues, Andrew Z. Yang et al.· Neuroscience & Biobehavioral...· 0 citations
The project bridges traditional static code analysis (Object-Oriented metrics) with advanced embedding representation learning to predict refactoring interventions on code-smelly methods. The predictive framework models a supervised binary classification task across 10 distinct target refactoring operations. Data Sourc...
Andrea Lanza, Matteo Bochicchio, Francesca Arcelli Fontana· Zenodo (CERN European Organi...· 0 citations
This repository contains the datasets, analysis scripts, and experiment configuration used to generate the results presented in our research paper "Online Decentralized Estimation of Network Connectivity in Cooperative Robotic Systems Using Graph Neural Networks". This is a condensed release containing only the materia...
Anonymous· Zenodo (CERN European Organi...· 0 citations
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Microsoft Research Blog· microsoft.comJul 13, 2026
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduJul 6, 2026
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
