Milestone in mapping the brain’s nerve fibre labyrinth
tudelft.nl·5h
📸Calcium Imaging
Flag this post
AI hardware is reinventing the humble dictaphone
fastcompany.com·4h
🧠Neuromorphic Hardware
Flag this post
Securing the Wireless Perimeter: Modern Threats to AI, Hyperscale, Enterprise, and Classified Data Centers Part 2
bastille.net·1d
🔒Cybersecurity
Flag this post
WCH BLE Analyzer Pro – A Bluetooth LE sniffer, analyzer, and debugging tool
cnx-software.com·5h
💾Microcontrollers
Flag this post
A Compelling Differentiator in OEM Product Design
semiwiki.com·1h
Mechatronics
Flag this post
The Best Power Banks for Laptops With USB-C
nytimes.com·17h
🧵Conductive Polymers
Flag this post
A Multiscale Framework for In Silico Thrombus Generation and Photoacoustic Simulations
arxiv.org·1d
🧬Bioengineering
Flag this post
Two-Parameter R\'enyi Information Quantities with Applications to Privacy Amplification and Soft Covering
arxiv.org·10h
🤖Machine Learning
Flag this post
Quantum AI: Are We Building Castles in the Clouds? by Arvind Sundararajan
dev.to·8h·
Discuss: DEV
🧠Neuromorphic Computing
Flag this post
Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·2d
〰️Wavelet Analysis
Flag this post
Stop Calling LLMs AI
dev.to·6h·
Discuss: DEV
🤖Machine Learning
Flag this post
AI-Driven Predictive Hazard Mitigation via Dynamic Structural Health Monitoring
dev.to·13h·
Discuss: DEV
🎯Predictive Coding
Flag this post
The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·1d
🎯Predictive Coding
Flag this post
Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
arxiv.org·1d
🤖Machine Learning
Flag this post
Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion Learning
arxiv.org·1d
🌱Neuroplasticity
Flag this post
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
arxiv.org·10h
🤖Machine Learning
Flag this post
Tableau Filtering Actions Made Easy: Origins, Real-World Applications, and Case Studies
dev.to·5h·
Discuss: DEV
🤖Machine Learning
Flag this post