New Adafruit IO Landing Page! What’s new with Adafruit IO and the Adafruit Learning System.
blog.adafruit.com·4h
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Cyber Focus Interview: Dr. Aleksandr Yampolskiy Analyzes the Rise of Third-Party and Supply Chain Cyber Risks
securityscorecard.com·6h
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The Need For Greater ‘Human-In-The-Loop’ AI Strategies For Manufacturers With Transportation Fleets
machineinsider.com·1d
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Unlocking high software engineering pace: Ruthlessly eliminate drag in your processes and technologies
dev.jimgrey.net·1d
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Digital Doppelgangers: Anatomy of Evolving Impersonation Campaigns Distributing Gh0st RAT
unit42.paloaltonetworks.com·1h·
Discuss: r/SecOpsDaily
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Vibe coding security checklist to prevent breaches
fingerprint.com·2d
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America’s energy bills shouldn’t fund Big Tech’s data centers
thehill.com·8h
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S-E-A's STRIDE Robot Awarded U.S. Patent
prnewswire.com·1d
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(PR) LTO Program Releases 40 TB LTO Ultrium Cartridge Specs and New High-Density Roadmap
techpowerup.com·6h
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MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning T...
prnewswire.com·8h
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In-air microfluidic sorting of single cells on multiple paths
nature.com·18h
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This tiny free utility keeps my Windows system stable during heavy multitasking
xda-developers.com·2d
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DoControl Named a Leader in the Frost & Sullivan 2025 SaaS Security Posture Management (SSPM) Radar Report
prnewswire.com·1d
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Broadcom Expands VCF Open Ecosystem to Speed Up Modern Private Cloud Adoption
storagereview.com·2d
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Mikroe Click boards and mikroBUS: modular sensors, GNSS, ESC, SPI/I2C/UART prototyping
armdevices.net·14h
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Building an AI-Powered Log Analyser with RAG
dev.to·13h·
Discuss: DEV
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Ultra-mild bisulfite outperforms existing methods for 5-methylcytosine detection with low input DNA
nature.com·1d
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How to Ensure Quality of Responses in AI Agents: A Practical, End-to-End Playbook
dev.to·1d·
Discuss: DEV
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🌐 Agentic AI in 2025: How Autonomous Software Is Quietly Becoming the New Found
dev.to·7h·
Discuss: DEV
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Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
arxiv.org·19h
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