Storm
PulseAugur coverage of Storm — every cluster mentioning Storm across labs, papers, and developer communities, ranked by signal.
- 2026-05-19 research_milestone Researchers introduced STORM, a new system for multi-agent collaboration on shared codebases. source
5 day(s) with sentiment data
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MCU X-Men Film Reveals Initial Cast at D23 Showcase
Disney has revealed initial casting for its upcoming MCU X-Men film, set to release on May 5, 2028. The announced cast includes Sadie Sink as Jean Grey, Christopher Abbott as Professor X, Samara Weaving as Emma Frost, M…
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Marvel Rivals apologizes for Storm skin, plans free upgrades · 1 source tracked
NetEase has apologized for an underwhelming Legendary skin for Storm in their game Marvel Rivals, and plans to upgrade it for free. Players who purchased the skin will receive additional upgrades, and more Legendary Sto…
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Marvel Rivals adds new hero and cosmetic bundles in latest update
NetEase's game Marvel Rivals has released its latest update, introducing new cosmetic bundles and a new hero. The update, which went live on August 13, 2026, includes the Storm "Sacred Skies" Bundle and a limited-time r…
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Deep learning models improve imputation of missing tropical cyclone wind data
Researchers have developed deep learning models, including 1DCNNs and LSTMs, to impute missing Radius of Maximum Winds (Rmax) values in tropical cyclone best-track data. The study found that incorporating the radius of …
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MCU X-Men Casting Rumors: Cailee Spaeny Eyed for Rogue, Jayme Lawson for Storm
Rumors are circulating about potential casting for the Marvel Cinematic Universe's X-Men franchise, with Cailee Spaeny reportedly being considered for the role of Rogue. Spaeny, known for her recent work in "Beef" and "…
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AI-generated art showcased on Mastodon with unique themes and recurring invite code
A series of Mastodon posts from the user @bchnft showcase various AI-generated art pieces, each with a unique title and a recurring invitation to join with the code ARENA-L4. The posts feature themes of digital ascensio…
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New CGSReg technique improves Atari Pong world models · 2 sources tracked
A new research paper introduces Concept-Guided Spatial Regularization (CGSReg) to improve the performance of world models in the game Atari Pong. The study evaluated five existing world models, including DreamerV3, find…
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New GEIS system improves LLM long-form article generation via evaluation loop
A new research paper introduces GEIS, a Generation-Evaluation-Improvement loop of agent skills designed to enhance long-form article generation by large language models. Unlike fixed multi-agent pipelines, GEIS utilizes…
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Obsession Star Inde Navarrette Meets MCU X-Men Director
The breakout star of the profitable horror film "Obsession," Inde Navarrette, has met with Jake Schreier, the director tapped to helm Marvel's upcoming "X-Men" movie. Navarrette's performance in "Obsession," which gross…
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New STORM framework enhances Mamba models by preserving spatial structure during token reduction
Researchers have developed STORM, a novel spatial-aware token reduction framework designed to address performance degradation in visual state space models like Mamba when subjected to token compression. Existing reducti…
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New research explores advanced sampling techniques for machine learning
Two new research papers explore advanced techniques for sampling from complex probability distributions, a critical task in machine learning. The first paper, submitted to arXiv, focuses on variance reduction methods li…
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STORM framework enhances lexical query expansion for retrieval
Researchers have developed STORM, a self-supervised framework for lexical query expansion that improves information retrieval. This method uses a reward-guided beam search to optimize token generation, making it more ef…
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STORM system improves multi-agent code collaboration with state management
Researchers have introduced STORM, a novel state-oriented management system designed to enhance collaboration among multiple AI agents working on shared codebases. Unlike existing methods that rely on workspace isolatio…
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New architectures enable real-time video understanding
Researchers are developing new methods for real-time video understanding, moving beyond traditional offline analysis. Several papers propose architectures that decouple visual perception from language generation to impr…
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Actor-Critic RL algorithms achieve optimal sample complexity for MDPs
Two new arXiv papers explore advancements in actor-critic reinforcement learning algorithms. The first paper, though later withdrawn, proposed an optimal sample complexity of O(ε−2) for single-timescale actor-critic met…