Running Qwen3-235B on 2x A100s allows for efficient computation without per-token costs. The integration of Claude Max through Claude Code serves as a robust build layer. The strategy includes periodic fine-tuning with LoRA, utilizing training data collected by Nova, ensuring that the model continues to improve over time rather than remaining static. This approach emphasizes ongoing enhancement and adaptability in model performance.
Efficient Computation with Qwen3-235B and Claude Max
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Readiness begins with identifying which assets have already expired. When every system is labeled a priority, none of them are. The $7.1B federal projection confirms that a total, immediate transition is impossible. Real progress requires isolating high-value data with a ten-year shelf life and the physical hardware that lacks the power to run newer, heavier algorithms. ArcQubit turns the complexity of PQC migration into a governed roadmap. We provide the visibility to identify non-migratable blockers today to ensure your 2035 compliance is a matter of execution rather than a last minute crisis. Learn more: https://lnkd.in/eR9aUDaM
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SEGGER launches new SystemView version with ELF-based analysis SystemView now uses ELF file information to automatically assign resource names and messages, reducing ROM usage on the target system and RTT bandwidth for faster, more efficient system analysis. Read the full news: ➡️ https://lnkd.in/eJbypfbt
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The easiest way to read real sensor data in The Zephyr Project starts here. The latest installment in Jacob Beningo’s Zephyr series shows how quickly you can bring live temperature sensing online—no register digging, no bus debugging, no rewrites when your hardware changes. Here’s what you’ll discover: 🌡️ How the Zephyr sensor API standardizes every sensor workflow 🧩 How a simple Devicetree overlay brings the P3T1755 online on the FRDM‑MCXN947 ⚙️ How to enable the subsystem through Kconfig 🔁 How to fetch and read live temperature data in just a few lines of code Read the full walkthrough and start building smarter, faster ➡️ https://okt.to/2ZMky0
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🚀 Understanding SOF (Start Of Frame) in CAN Communication In CAN communication, every message frame begins with a Start Of Frame (SOF) bit. SOF is a single dominant bit (0) that indicates the start of a new CAN message transmission on the bus. 🔹 Why SOF is Important? 1️⃣ Synchronization All nodes (ECUs) on the CAN bus use SOF to: ✔ Synchronize their internal clocks ✔ Start reading the incoming message correctly Without SOF, ECUs cannot align with the frame timing. 2️⃣ Bus Arbitration Start SOF marks the beginning of arbitration phase. After SOF: 👉 Identifier bits are transmitted 👉 Nodes compete based on priority Lower ID → Higher priority → Wins arbitration 3️⃣ Bus Idle Detection SOF is transmitted only when: ✔ Bus is in idle state (recessive = 1) When a node sends dominant (0): 👉 All ECUs understand → New frame started 🔹 Key Concept SOF = Dominant bit (0) Bus Idle = Recessive (1) Transition from 1 → 0 = Start of communication 🔹 Example Flow Bus Idle → 1 1 1 1 SOF → 0 Then → Identifier + Data + CRC 🔹 Validation Perspective During CAN validation, we verify: ✔ Proper SOF detection ✔ Correct synchronization ✔ No frame start errors ✔ Arbitration starts correctly 🔹 Real Use Case 👉 Ensures all ECUs read the same message correctly 👉 Maintains network timing stability 👉 Critical for reliable CAN communication Understanding SOF is important because it is the starting point of every CAN message. #Automotive #CAN #ECU #EmbeddedSystems #SystemValidation #AutomotiveTesting
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NEW | ZONE3 Software Version 16 - OUT NOW! Earlier this month, OGP UK announced the release of Version 16 of ZONE3, the world’s most comprehensive metrology software. ZONE3 is OGP’s flagship metrology platform, featuring intelligent tools designed to improve productivity, simplify programming and streamline measurement processes. ZONE3 Version 16 introduces several significant new features, including: • Optical Character Recognition (OCR) • Barcode and QR code identification • Reportable stitched images • Enhanced report customisation options • Additional filtering methods • Embedded video instructions • ISO 14405 size characteristics support • New field flatness compensation in ICE for improved AMF performance + much more. These latest enhancements are designed to deliver faster, simpler and more productive measurements, helping users achieve even greater efficiency from their OGP systems. Click the link below to learn how Version 16 can enhance your measurement capabilities. https://ow.ly/LsE250Yh2Mp
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EI can be used with your very own LLM. Plugged Google’s open-sourced Gemma 4 into our Energy Intelligence MCP servers and it handled the HOT2000 export tool calling flawlessly on first try. H2K being a legacy system and energy auditors being stuck in the past with it. This is a great initiative to bring energy auditors into this modern AI fold. Thankyou Anusheel Chapagain, MASc, BEng for this great idea. Energy Intelligence (EI) #Gemma4 #MCP #EnergyAudits #OpenSource #AI #CleanTech
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