AI's capabilities may be exaggerated by flawed tests, according to new study
🚀Performance
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Spot The Ball: A Benchmark for Visual Social Inference
arxiv.org·2d
📱Edge AI
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Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
arxiv.org·1d
🕸️GraphBLAS
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Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
arxiv.org·2d
📐Computational Geometry
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**Hyperlocal Weather Anomaly Forecasting via Spatiotemporal Graph Neural Networks & Ensemble Kalman Filtering**
⚛️Quantum Computing
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Data Engineering in the Age of AI
oreilly.com·15h
🔧Data Engineering
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Academics and Generative AI: Empirical and Epistemic Indicators of Policy-Practice Voids
arxiv.org·23h
🔲Cellular Automata
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Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
arxiv.org·2d
🧬Computational Biology
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AI-Driven Microfluidic Design Optimization via Hyperdimensional Feature Mapping & Reinforcement Learning
💬Prompt Engineering
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Explaining Human Choice Probabilities with Simple Vector Representations
arxiv.org·23h
🎯Reinforcement Learning
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T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
arxiv.org·3d
📱Edge AI
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R3GAN-based Optimal Strategy for Augmenting Small Medical Dataset
arxiv.org·3d
🔬Deep Learning
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Balanced Multimodal Learning via Mutual Information
arxiv.org·2d
🧠Machine Learning
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Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR
arxiv.org·3d
🐛Fuzzing
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TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval
arxiv.org·23h
🧮Vector Databases
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·1d
📊Dynamic Programming
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