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ENTITY Adapt Autoscaler

Adapt Autoscaler

PulseAugur coverage of Adapt Autoscaler — every cluster mentioning Adapt Autoscaler across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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6 over 90d
Releases · 30d
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Papers · 30d
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TIER MIX · 90D
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  1. 2026-08-20 research_milestone A new physics-aware diffusion-based world model named ADAPT was proposed for adaptive predictive transferable HVAC control. source
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 9 TOTAL
  1. TOOL · CL_269646 ·

    Humanoid robot plays badminton, demonstrating advanced AI strategy and control

    Dongyi Technology has developed a humanoid robot capable of playing badminton, demonstrating advanced dynamic motion control and strategic play. The robot, standing 1.35 meters tall, can engage in rallies of over 40 sho…

  2. TOOL · CL_259429 ·

    New ADAPT model uses Transformer for long-range atomic interactions

    Researchers have developed ADAPT, a new machine learning force field that bypasses graph neural networks for modeling atomic interactions. This approach directly uses atomic coordinates and a Transformer encoder to capt…

  3. RESEARCH · CL_212034 ·

    Humanoid robots learn professional tennis styles and achieve autonomous rallies

    Researchers have developed a new framework called AdaPT to enable humanoid robots to perform professional tennis styles, focusing on adaptive motion planning and tracking. This system learns from broadcast videos and ha…

  4. RESEARCH · CL_211961 ·

    New ADAPT model enhances HVAC control with physics-aware diffusion

    Researchers have developed ADAPT, a novel physics-aware diffusion-based world model designed to improve HVAC control systems. This model addresses challenges like delayed thermodynamic responses and limited data by inco…

  5. RESEARCH · CL_143403 ·

    New Transformer Model Enhances Pedestrian Crossing Prediction for Autonomous Driving

    Researchers have developed ADAPT (Adaptive Domain-Aware Pedestrian Crossing Transformer), a new multimodal framework designed to improve the prediction of pedestrian crossing intentions for autonomous driving. This syst…

  6. RESEARCH · CL_115713 ·

    New attention mechanisms boost LLM efficiency and reduce hallucination · 10 sources tracked

    Researchers are developing novel attention mechanisms to improve the efficiency and capabilities of large language models (LLMs) and multimodal large language models (MLLMs). These advancements focus on optimizing spars…

  7. RESEARCH · CL_99701 ·

    New ADaPT framework improves large reasoning model efficiency

    Researchers have introduced ADaPT, a novel framework designed to enhance the efficiency of large reasoning models. This approach decouples efficiency and correctness signals during training by using a mode-selection tok…

  8. TOOL · CL_91503 ·

    Autonomous forklift ADAPT achieves near human-level performance on construction sites

    Researchers have developed ADAPT (Autonomous Dynamic All-terrain Pallet Transporter), an autonomous forklift designed for complex construction environments. The system utilizes AI-driven perception and traditional metho…

  9. TOOL · CL_36621 ·

    New autoscaler ADAPT optimizes container replica counts using measured provisioning delay

    Researchers have developed ADAPT, a novel self-calibrating autoscaler designed for container orchestration systems. This system uses an online EWMA estimator to dynamically track and adapt to varying cold-start duration…