TapFlow: BJJ Timer and Drills
🎯Reinforcement Learning
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‘Our goal is to build bridges between the lab and the classroom’
news.stanford.edu·1d
🧠Neuroscience
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A $1 Billion Reason to Buy AMD Stock Now
finance.yahoo.com·10h
🧠Neuromorphic Hardware
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7 Ways to Elevate Your Aura
threadreaderapp.com·19h
🧠Neuroscience
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A common pathway controls cell size in the sepal and leaf epidermis leading to a nonrandom pattern of giant cells
journals.plos.org·2d
📡Wnt Signaling
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Author Correction: Materials and systems for large-scale photocatalytic water splitting
nature.com·1h
🔬Materials Science
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FDA Issues Complete Response Letter for Biohaven's VYGLXIA (troriluzole) New Drug Application for Spinocerebellar Ataxia
prnewswire.com·13h
⚡Neurobiology
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Evolving our understanding of trained immunity
elifesciences.org·15h
⚡Neurobiology
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Decoding Life's Code: AI-Powered Causal Inference for Biological Networks by Arvind Sundararajan
🧬Bioengineering
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LSU promoting interim athletic director Verge Ausberry to full role: Source
nytimes.com·14h
📡Signal Processing
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Real-Time Wave Function Collapse Prediction via Hybrid Bayesian Filtering and Generative Adversarial Networks
🧠Neuromorphic Hardware
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Microtube-integrated chips for modular electrical stimulation and 3D confined neural network growth
nature.com·5d
🧵Conductive Polymers
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Domain Morphology, Electrocaloric Response, and Negative Capacitance States of Ferroelectric Nanowires Array
arxiv.org·1d
🔬Materials Science
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Advanced Fatigue Life Prediction via Hybrid Bayesian Neural Network and Acoustic Emission Correlation
🎯Reinforcement Learning
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A Dual-Use Framework for Clinical Gait Analysis: Attention-Based Sensor Optimization and Automated Dataset Auditing
arxiv.org·10h
🔄Meta-Learning
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Conservative port-to-port funneling of light in nonlinear photonic lattices
nature.com·2d
🔬Materials Science
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Language-Enhanced Generative Modeling for PET Synthesis from MRI and Blood Biomarkers
arxiv.org·10h
🎯Predictive Coding
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Enhanced sensitivity for electron affinity measurements of rare elements
nature.com·2d
🔬Materials Science
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ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks
arxiv.org·1d
🧠Neuromorphic Hardware
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