30 stories tagged with #computational, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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The Computational Theory of Mind (2015)
The revolutionary landscape of advanced computational systems is transforming technological research
Why the Brain Cannot Be a Computer
This paper presents a novel information-theoretic proof demonstrating that the human brain as currently understood cannot function as a classical digital computer. Through systemat…
New to computational physics research and I am super disturbed about my dependence on AI. please help!
Computational Mean-Field Games on Manifolds
Conventional Mean-field games/control study the behavior of a large number of rational agents moving in the Euclidean spaces. In this work, we explore the mean-field games on Riema…
AutoDFT: A Closed-Loop Multi-Agent Framework for Autonomous DFT Calculations
Density functional theory (DFT) serves as the basis for computational discovery in materials science and chemistry, yet each calculation demands extensive human effort: adjusting a…
2-ASP(Q) programs with weak constraints: Complexity and efficient implementation
ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets. In this paper we focus on the class of ASP(Q) programs with two quantifiers and weak constraints, den…
ThriftAttention: Selective Mixed Precision for Long-Context FP4 Attention
Efficient attention algorithms are critical to mitigate the quadratic cost of attention in long-context workloads. Prior work utilises block-scaled quantisation techniques on Black…
ConceptM$^3$oE: Concept-Guided Multimodal Mixture of Experts for Interpretable Computational Pathology
Healthcare models are transitioning from unimodal prediction toward multimodal reasoning over heterogeneous diagnostic inputs. In computational pathology, for complex tumor subtype…
A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Collected Works
I present Lepton (Letter Prediction), a fine-tuned BERT classifier that predicts whether a title in a Classical Chinese wenji table of contents is a personal letter or a closely co…
The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems
Large language models now write software, draft legal documents, and produce clinical notes, yet fundamental limits, from Turing and Arrow to the No Free Lunch theorems, shape what…
The Brain vs. Deep Learning Part I: Computational Complexity
This blog post compares deep learning to the brain and derives an estimate of computational power for the brain which is used to predict the singularity.…
Q&A: The path to a PhD in computational science and engineering at MIT
MIT student Emily Williams describes her experience as the first to earn a doctorate via the PhD program in MIT's Center for Computational Science and Engineering.…
Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates
Neural surrogates enable orders-of-magnitude acceleration of computational fluid dynamics (CFD) simulations, with the potential to transform engineering and healthcare workflows. N…
Era: From Nature publication to catalyzing Computational Discovery
Passkey Therapeutics Appoints Mandeep Kaur, MD, MS, as Chief Medical Officer to Advance Clinical Validation of Its Computational Genetics-Based Novel Drug Combination Platform - Morningstar
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Computational Challenges in Token Economics: Bridging Economic Theory and AI System Design
Token economics has emerged as a useful lens for understanding resource allocation, value creation, and pricing in large language model systems. While recent work has increasingly …
CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean
Formal theorem-proving benchmarks enable mechanically verifiable evaluation of mathematical reasoning in large language models. However, existing benchmarks mainly focus on Olympia…
Should I do a PhD in computational geometry/topology or go into industry? 22, finishing MSc
Unpopular opinion about computational physics and theoretical physics
Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems
The modeling and simulation of infinite-dimensional Hamiltonian systems are central problems in mathematical physics and engineering, however they pose significant computational an…
From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
Modern quantitative trading increasingly relies on systematic models to extract predictive signals from large-scale financial data, where alpha factor discovery plays a central rol…
Breakeven complexity: A new perspective on neural partial differential equation solvers
Neural surrogate solvers of partial differential equations (PDEs) promise dramatic speedups over numerical methods, especially in scenarios requiring many solves. However, current …
Fault tolerance estimation in digital circuits with visualised generative networks
We propose a new numerical method to estimate the fault tolerance of failure modes in digital circuit structures with a generative network sampling technique. From a random input o…
FluidX3D Lands A Big Speed-Up For This OpenCL CFD Software
Released this week was FluidX3D 3.7, the latest feature update to this computational fluid dynamics (CFD) software that is CPU/GPU accelerated by way of OpenCL.…
LLMs as Linguistic Probes: A Graduate Student's Guide to Advanced Syntax, Semantics, and Efficient Fine-Tuning
The intersection of large language models (LLMs) and advanced linguistics has moved beyond...…
Python One go: Bootstrapped uncertainty quantification given observation matrix
High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generation (HE-RNG). - msuzen/leymosun…
MIT engineers’ virtual violin produces realistic sounds
MIT researchers developed a “computational violin” — the first computer simulation that captures the detailed physics of the instrument and realistically produces the sound of a vi…
Masters in Data Science or Computational Finance?
Mapping molecular markers of physical fitness
The PhenoMol computational model analyzes biomarkers of cellular activity to help predict an individual’s physical fitness level. The model could advance future studies to improve …