BRIDGE Summit 2025 to spotlight seven content tracks shaping the future of media, content, and entertainment
zawya.com·13h
🔬Materials Science
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Your Desk Lamp Just Got Smarter (And Took Notes from Inception)
yankodesign.com·13h
🧠Neuromorphic Computing
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AI for Senior Software Engineers
emadibrahim.com·1d·
Discuss: Hacker News
🤖Machine Learning
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Scientists Turned Ordinary Shiitake Mushrooms into Living Computers
zmescience.com·2d
🧠Neuromorphic Hardware
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Digital minimalism is out, digital intentionality is in
lesswrong.com·1h
🧠Neuromorphic Computing
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How AGI Will Reshape Human Work, Purpose, and Power
dev.to·6h·
Discuss: DEV
🤖Machine Learning
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Molecular Alchemy: AI-Powered Design of Novel Compounds by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🔬Materials Science
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From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators
arxiv.org·1d
🧠Neuromorphic Hardware
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Brain-inspired chips are helping electronic noses better mimic human sense of smell
techxplore.com·1d
👁️Biomimetic Sensors
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Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion Learning
arxiv.org·1d
🌱Neuroplasticity
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How AI is helping us monitor and support vulnerable ecosystems
phys.org·1d
🤖Machine Learning
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Decoding human safety perception with eye-tracking systems, street view images, and explainable AI
sciencedirect.com·8h
🎯Predictive Coding
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Will Spiking Neural Nets Revolutionize AI by Mimicking Brain Efficiency? by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🧠Neuromorphic Computing
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How Artificial Intelligence is Reshaping Food Production and Delivery
dev.to·12h·
Discuss: DEV
🤖Machine Learning
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**The Paradox of Empathy in AI Development: A Call for More
dev.to·5h·
Discuss: DEV
🧠Neuromorphic Hardware
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🧮Algorithms
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How Memories Might Be Used to Help Heal the Brain
zmescience.com·1d
🧠Neuroscience
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·18h
🎯Predictive Coding
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Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
arxiv.org·18h
🤖Machine Learning
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