Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet
arxiv.org·9h
🧠BF16
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
🏎️TensorRT
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Tackling the Kidnapped Robot Problem via Sparse Feasible Hypothesis Sampling and Reliable Batched Multi-Stage Inference
arxiv.org·9h
🔗Kernel Fusion
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RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
arxiv.org·9h
🤖AI Coding Tools
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·1d
🧮cuDNN
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A Thesis and Playbook for Edge AI
⚡ONNX Runtime
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Physics-Informed Neural Network Frameworks for the Analysis of Engineering and Biological Dynamical Systems Governed by Ordinary Differential Equations
arxiv.org·9h
⚡ONNX Runtime
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MoSa: Motion Generation with Scalable Autoregressive Modeling
arxiv.org·9h
🏎️TensorRT
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HyFormer-Net: A Synergistic CNN-Transformer with Interpretable Multi-Scale Fusion for Breast Lesion Segmentation and Classification in Ultrasound Images
arxiv.org·9h
🧮cuDNN
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·1d
📉Model Quantization
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H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
arxiv.org·9h
⚡Flash Attention
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.org·9h
🎓Model Distillation
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Towards Automated Petrography
arxiv.org·9h
📉Model Quantization
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How neuroscientists are using AI
thetransmitter.org·9h
⚡ONNX Runtime
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Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
🎓Model Distillation
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Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
arxiv.org·9h
🎓Model Distillation
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CoT-Saliency: Unified Chain-of-Thought Reasoning for Heterogeneous Saliency Tasks
arxiv.org·9h
🏎️TensorRT
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