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Scoured 8235 posts in 12.0 ms
WheatForce: Learning From CPU Architecture Mistakes  🔬eBPF
hackaday.com·1d·
Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization  💬LLMs
arxiv.org·6d·
IBM Lays Out Patches For ARM Virtualization Acceleration On IBM Z Servers  💻KVM
phoronix.com·10h·
IBM Announces Strategic Collaboration with Arm to Shape the Future of Enterprise Computing  💾Embedded Systems
newsroom.ibm.com·21h·Hacker News, r/hardware·
Claude Code's source code appears to have leaked: here's what we know  🔬Anthropic
venturebeat.com·2d·Hacker News·
Meta-Harness: End-to-End Optimization of Model Harnesses  🤖LLM Inference
yoonholee.com·3d·Hacker News·
Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation  ⚗️Knowledge Distillation
arxiv.org·21h·
How Small Can A Linux Executable Be?  🛡️Memory Safety
hackaday.com·2d·
Execution-Verified Reinforcement Learning for Optimization Modeling  🎮Reinforcement Learning
arxiv.org·21h·
AXON: An Automated Netlist Optimization Framework for High-Speed Adders  🏗️RISC-V
arxiv.org·2d·
Structure, Analysis, and Synthesis of First-Order Algorithms  ⚙️Program Synthesis
arxiv.org·6d·
Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization  🎮Reinforcement Learning
arxiv.org·21h·
Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus  ⚡Code Generation
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·1d·
ParaQAOA: Efficient Parallel Divide-and-Conquer QAOA for Large-Scale Max-Cut Problems Beyond 10,000 Vertices  🤖LLM Inference
arxiv.org·3d·
Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3  🤖LLM Inference
arxiv.org·2d·
Domain decomposition of large neural network surrogate models  🤖Large Language Models
arxiv.org·3d·
Towards verifying unsafe Rust programs against Rust's pointer-aliasing restrictions  🛡️Memory Safety
arxiv.org·2d·
See it to Place it: Evolving Macro Placements with Vision-Language Models  👁️Multimodal AI
arxiv.org·2d·
Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems  🤖Large Language Models
arxiv.org·6d·

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