·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Theker just raised $85M to build the factory robot that doesn’t specialize in anything56m◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world1h◆SpaceX officially prices shares at $135 in the largest IPO ever6h◆Our new community investments in Virginia support local jobs and expand energy affordability.6h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift6h◆Amazon’s data centers used 2.5 billion gallons of water last year9h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others10h◆Pool’s new app turns your screenshots into something useful11h◆DoorDash’s new AI chatbot lets you order with prompts and photos12h◆Anthropic apologizes for invisible Claude Fable guardrails15h◆Google DeepMind is worried about what happens when millions of agents start to interact15h◆Deezer launches an AI music detector for other streaming services18h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing22h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning22h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!22h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation22h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions22h◆The Impossibility of Eliciting Latent Knowledge22h◆Mapping Scientific Literature with Large Language Models and Topic Modeling22h◆Grounding Computer Use Agents on Human Demonstrations22h◆Theker just raised $85M to build the factory robot that doesn’t specialize in anything56m◆Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world1h◆SpaceX officially prices shares at $135 in the largest IPO ever6h◆Our new community investments in Virginia support local jobs and expand energy affordability.6h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift6h◆Amazon’s data centers used 2.5 billion gallons of water last year9h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others10h◆Pool’s new app turns your screenshots into something useful11h◆DoorDash’s new AI chatbot lets you order with prompts and photos12h◆Anthropic apologizes for invisible Claude Fable guardrails15h◆Google DeepMind is worried about what happens when millions of agents start to interact15h◆Deezer launches an AI music detector for other streaming services18h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing22h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning22h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!22h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation22h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions22h◆The Impossibility of Eliciting Latent Knowledge22h◆Mapping Scientific Literature with Large Language Models and Topic Modeling22h◆Grounding Computer Use Agents on Human Demonstrations22h◆
Tag

#control

4 articles tagged #control

arxiv1d agobullish

Offline Reinforcement Learning for Rotation Profile Control in Tokamaks

arXiv:2605.05857v2 Announce Type: replace Abstract: Tokamaks remain leading candidates for achieving practical fusion energy, yet many important control problems inside these devices are still difficult or unsolved. One such challenge is controlling the plasma rotation profile, which strongly influe

RE1 model#fusion#energy#reinforcement-learningRead on arxiv →
arxiv5d agobullish

MPCoT: Reward-Guided Multi-Path Latent Reasoning for Test-Time Scalable Vision-Language-Action

arXiv:2606.06245v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) policies remain brittle in long-horizon and high-uncertainty control, where one-pass action decoding provides limited inference-time deliberation. Explicit chain-of-thought can increase reasoning depth, but introduces tok

MP1 model#robotics#artificial-intelligence#researchRead on arxiv →
arxivMay 8

Dynamic Controlled Variables Based Dynamic Self-Optimizing Control

arXiv:2605.06469v1 Announce Type: cross Abstract: Self-optimizing control is a strategy for selecting controlled variables, where the economic objective guides the selection and design of controlled variables, with the expectation that maintaining the controlled variables at constant values can achi

DE1 model#optimization#control#machine-learningRead on arxiv →
arxivApr 29bullish

Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty

arXiv:2604.25897v1 Announce Type: cross Abstract: Contact variability, sensing uncertainty, and external disturbances make grasp execution stochastic. Expected-quality objectives ignore tail outcomes and often select grasps that fail under adverse contact realizations. Risk-sensitive POMDPs address

VA1 model#robotics#machine-learning#controlRead on arxiv →
HomeModelsNews