Building a custom Arduino-controlled ‘analog’ dashboard
blog.arduino.cc·1h
🎛️Microcontrollers
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AMD CEO Lisa Su says next-gen 2nm EPYC Venice Zen 6 CPUs to launch with Instinct MI400 in 2026
tweaktown.com·18h
⚡Hardware Acceleration
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So, I have to talk about Extropic.
zach.be·1d
⚡Hardware Acceleration
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VIAVI and Calnex Simplify Open RAN Conformance and Performance with Comprehensive Pre-Certification Testbeds
prnewswire.com·9h
🐝Cilium
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Games for rehab: Fast communication for interactive VR and AR
news.umich.edu·6h·
Discuss: Hacker News
🎮Game Development
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We built a collaboration platform on Claude Code. Here's what we learned.
gbase.ai·1d·
Discuss: r/ClaudeAI
🤖Automation
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Running MiniMax-M2 locally - Existing Hardware Advice
reddit.com·2d·
Discuss: r/LocalLLaMA
🚀Performance
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Kubernetes Isn’t Your AI Bottleneck — It’s Your Secret Weapon
thenewstack.io·2d
🔧DevOps
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SES AI (SES) Q3 2025 Earnings Call Transcript
fool.com·19h
⚡ClickHouse
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Show HN: I'm making an Open-source Japanese learning App inspired by Monkeytype
github.com·1d·
Discuss: Hacker News, Hacker News
⚙️JIT Compilation
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Enterprise Release Precautions and Best Practices for Seamless Deployments
dev.to·16h·
Discuss: DEV
🔧DevOps
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Short Blocks, Fast Sensing: Finite Blocklength Tradeoffs in RIS-Assisted ISAC
arxiv.org·1d
📊Information Theory
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Enhanced Dielectric Performance of Aircraft HV Power Cables via Nanocomposite Crosslinking Optimization
dev.to·1d·
Discuss: DEV
🏗️System Design
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Reality check
dev.to·2d·
Discuss: DEV
🧪Testing
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Turn any of your APIs into a Kubernetes-native citizen
dev.to·8h·
Discuss: DEV
☸️Kubernetes
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🧠 Soft Architecture (Part B): Emotional Timers and the Code of Care (Part 5 of the SaijinOS series)
dev.to·6h·
Discuss: DEV
💬Prompt Engineering
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Observer-based neural networks for flow estimation and control
arxiv.org·15h
🔥PyTorch
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Microservices vs. Monoliths: Finding the Right Balance
dev.to·1d·
Discuss: DEV
🎯Microservices
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Automated Beam Loss Mitigation via Adaptive Impedance Shaping in Superconducting Cyclotrons
dev.to·14h·
Discuss: DEV
🔥PyTorch
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·2d
📊Profile-Guided Optimization
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