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Scoured 7926 posts in 15.0 ms
WheatForce: Learning From CPU Architecture Mistakes  🔬eBPF
hackaday.com·2d·
AXON: An Automated Netlist Optimization Framework for High-Speed Adders  🏗️RISC-V
arxiv.org·4d·
MCP server to remove hallucination and make AI agents better at debugging and project understanding  🧠Context Engineering
github.com·4h·r/vibecoding·
I’m building “Grammarly for LLMs” and I need blunt feedback on whether the optimization is actually useful  🧠LLM
prompt-grader.app·11h·r/PromptEngineering, r/SideProject·
The Hidden Cost of Misalignment  🔩Assembly
interrupt.memfault.com·1d·
Meta-Harness: End-to-End Optimization of Model Harnesses  🤖LLM Inference
yoonholee.com·4d·Hacker News·
IBM Lays Out Patches For ARM Virtualization Acceleration On IBM Z Servers  💻KVM
phoronix.com·1d·
IBM Announces Strategic Collaboration with Arm to Shape the Future of Enterprise Computing  💾Embedded Systems
newsroom.ibm.com·2d·Hacker News, r/hardware·
Claude Code's source code appears to have leaked: here's what we know  🔬Anthropic
venturebeat.com·3d·Hacker News·
LLMs as Idiomatic Decompilers: Recovering High-Level Code from x86-64 Assembly for Dart  ⚙️Compilers
arxiv.org·1d·
How Small Can A Linux Executable Be?  🛡️Memory Safety
hackaday.com·3d·
FlatAttention: Dataflow and Fabric Collectives Co-Optimization for Large Attention-Based Model Inference on Tile-Based Accelerators  🤖LLM Inference
arxiv.org·1d·
Best-Arm Identification with Noisy Actuation  🎮Reinforcement Learning
arxiv.org·1d·
Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus  ⚡Code Generation
arxiv.org·3d·
Preferential Bayesian Optimization with Crash Feedback  🎮Reinforcement Learning
arxiv.org·1d·
AP-DRL: A Synergistic Algorithm-Hardware Framework for Automatic Task Partitioning of Deep Reinforcement Learning on Versal ACAP  🏗️RISC-V
arxiv.org·3d·
Wireless Power Control Based on Large Language Models  🧠LLM
arxiv.org·1d·
An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis  ⚙️Program Synthesis
arxiv.org·1d·
ParaQAOA: Efficient Parallel Divide-and-Conquer QAOA for Large-Scale Max-Cut Problems Beyond 10,000 Vertices  🤖LLM Inference
arxiv.org·5d·
TestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning  🤖LLM Inference
arxiv.org·1d·

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