LIVE PULSE
4.8 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.1 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Paper Examines How First Query Shapes Agentic Deep Search — 1 src1.3 Conformance-Driven Iterative Refinement for Natural-Language to SysMLv2 Translation — 1 src1.3 Neural Operators for Nonlinear Functionals on RKHS — 1 src4.8 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.1 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Paper Examines How First Query Shapes Agentic Deep Search — 1 src1.3 Conformance-Driven Iterative Refinement for Natural-Language to SysMLv2 Translation — 1 src1.3 Neural Operators for Nonlinear Functionals on RKHS — 1 src
HEATPULSEAI MAGAZINES
FLIP · FOLLOW · SAVE
Log inSign up
papersSEP 12 04:00 UTC

Probabilistic Focal Search Speeds Up Bounded-Suboptimal Search

A new arXiv paper introduces Probabilistic Focal Search, a variant of Focal Search that aims to cut the effort needed to find solutions within a bounded factor of optimal. The method advances lower bounds to guide which frontier nodes are explored, replacing the deterministic selection policy used in standard Focal Search. The work targets heuristic search settings where near-optimal solutions are acceptable in exchange for faster computation.

arXivFocal SearchProbabilistic Focal Searchbounded-suboptimal searchheuristic search

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIProbabilistic Focal Search: Accelerating Bounded-Suboptimal Search via Lower-Bound Advancement ↗SEP 12 04:00 UTC

MORE LIKE THIS

papersBelief-Shift Branching Targets Credit Assignment in Tree-Structured RLheat 0.1
papersHalpern Anchoring Boosts Last-Iterate Guarantees for Stochastic Variational Inequalitiesheat 1.3
papersZAPS Method Aims to Speed Up Neural Architecture Search with Zero-Cost Proxiesheat 1.3
papersWindowed A-K-MDP framework aims to make conservation policies more interpretableheat 1.3