📊 Intel PMU - hello · Scour

Why Hardware Monitoring Needs Infrastructure, Not Just Sensors 📡Intel PMT

semiengineering.com·1d

HWMonitor Portable 1.63 (hardware monitor) Released 📡Intel PMT

portableapps.com·3d

Reliability evaluation of highly reliable multi-state systems under dependent degradation using adaptive moving-threshold importance sampling 📝Write-Ahead Logging

sciencedirect.com·4h

Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling 💬Prompt Engineering

arxiv.org·20h

Kr1sso/xtrace-skill: xtrace — Command-line CPU Profiling for macOS as a skill. 📊Profiling Tools

github.com·1d·Lobsters, Hacker News

RISC-V SoC supports voice-enabled IoT devices ⚡RISC-V

edn.com·5d

CPUID Breach Distributes STX RAT via Trojanized CPU-Z and HWMonitor Downloads 🔍eBPF

thehackernews.com·2d

Lenovo Laptops To Enjoy Better Fan Speed Monitoring With Linux 7.1 📏Likwid

phoronix.com·6d·r/linux

Min-$k$ Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics ✏️Count-Min Sketch

arxiv.org·20h

Efficient time-variant reliability analysis through parallel adaptive Gaussian process modeling based on look-ahead sampling strategy 📝Write-Ahead Logging

sciencedirect.com·1d

Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality ⚙️Chapel

arxiv.org·20h

Efficient Uniform Feasible Set Sampling for Approximate Linear MPC 🚀Superoptimization

arxiv.org·1d

Development of ab initio Hubbard parameter calculation schemes in the k-point sampling real-time TDDFT program in CP2K 💎Anna KVS

arxiv.org·5d

Skip-Connected Policy Optimization for Implicit Advantage 🎯Reinforcement Learning

arxiv.org·1d

SELFDOUBT: Uncertainty Quantification for Reasoning LLMs via the Hedge-to-Verify Ratio 🦙Ollama

arxiv.org·5d

PCA-Driven Adaptive Sensor Triage for Edge AI Inference 📱Edge AI

arxiv.org·6d

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning 🎯Reinforcement Learning

arxiv.org·5d

Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models ⚡X-Fast Tries

arxiv.org·6d

Steady-State Statistical Modeling of Digitally Stabilized Laser Frequency with Markov-State Feedback ⚛️Quantum Computing

arxiv.org·5d

A unifying view of contrastive learning, importance sampling, and bridge sampling for energy-based models 🧠Machine Learning

arxiv.org·4d