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9 ceritaInovasi
NeuralParker uses reinforcement learning to plan parking in irregular environments
A new preprint presents NeuralParker, a reinforcement-learning planner designed to guide delivery and service vehicles to specified poses in irregular bounded areas, with reported success in a real-vehicle evaluation.arxiv.orgInovasi
BooF framework pairs generalist and expert AI models for breast ultrasound diagnosis
A paper reports a two-stage AI collaboration framework that uses a multimodal language model and a vision expert to analyze breast ultrasound images, with the authors reporting improved diagnostic accuracy and interpretability across multiple datasets.arxiv.orgInovasi
Paper proposes velocity matching to scale reward fine-tuning for diffusion models
Researchers propose reward-based velocity matching, a trajectory-free method that directly updates diffusion models’ velocity fields and, they report, achieves comparable or better results than likelihood-based methods at lower training cost.arxiv.orgInovasi
Design-to-Plan uses coordinated AI agents to turn engineering designs into manufacturing plans
A new arXiv paper presents an LLM-based multi-agent framework that combines 3D CAD models, 2D engineering drawings and manufacturing rules to generate traceable process plans. The authors report strong benchmark results, but real-world deployment and independent validation remain unknown.arxiv.orgInovasi
Study maps three ways AI professionals make sense of artificial intelligence
A mixed-methods study of AI professionals and public discussion identifies three recurring debates: how AI is built, what kind of mind it has, and whether its development should accelerate or slow down.arxiv.orgIndustri
R&D World reports SpaceX targets 2027 launch of orbital AI satellite with NVIDIA system
R&D World reports that SpaceX is targeting a fourth-quarter 2027 launch for its first Starmind AI satellite, while planning a $100 billion Louisiana spaceport intended to support high launch volumes. The report’s claims have not been independently confirmed by AI Understanding.rdworldonline.comInovasi
Paper proposes calibration method to improve offline reinforcement-learning evaluation
A new arXiv paper proposes isotonic Bellman calibration to reduce occupancy-balance errors in offline reinforcement-learning estimates.arxiv.orgInovasi
Studi menguji pengambilan dan alat pajak deterministik dalam nasihat keuangan multi-agen
Laporan pracetak arXiv bahwa penambahan mesin keuntungan modal deterministik mengurangi penghematan pajak yang dicapai oleh sistem penasihat keuangan multi-agen, sementara pembuatan augmentasi pengambilan tidak menunjukkan pengaruh yang signifikan secara statistik.arxiv.orgInovasi
Paper proposes a more efficient way to design LLM training-data experiments
A new preprint frames language-model data mixing as a statistical experiment, reporting that carefully selected proxy runs could recover mixture rankings after about 25% fewer runs in a calibrated simulation.arxiv.org
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