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Related Articles from SNS
Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models
arXiv:2605.31158v1 Announce Type: new Abstract: Interactive video world models generate video chunk by chunk in response to user-controlled camera movements, enabling applications such as real-time game simulation, virtual scene navigation, and embodied AI training. However, scaling to long interactive trajectories is prohibitively expensive due to growing context memory, quadratic attention complexity, and repeated denoising steps. We present Light Interaction, a training-free inference...
Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models
arXiv:2605.31158v2 Announce Type: replace Abstract: Interactive video world models generate video chunk by chunk in response to user-controlled camera movements, enabling applications such as real-time game simulation, virtual scene navigation, and embodied AI training. However, scaling to long interactive trajectories is prohibitively expensive due to growing context memory, quadratic attention complexity, and repeated denoising steps. We present Light Interaction, a training-free inference...
SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths
Announce Type: cross Abstract: Feature interactions drive much of the predictive power of machine learning models, yet existing explanation methods only detect and quantify interactions without revealing their functional form, or visualize only restricted interaction types. We propose Surrogate-based Analysis of Interactions via Local effect Smooths (SAILS), a model-agnostic framework that analyzes pairwise interactions through interpretable generalized additive model (GAM) surrogates fitted...
Synthesized peptides can slip into cells to block hard-to-target protein interactions
Synthesized peptides can slip into cells to block hard-to-target protein interactions Sadie Harley Scientific Editor Robert Egan Associate Editor Many diseases are driven by proteins interacting with each other inside cells. But blocking these interactions with drugs is difficult because typical "small-molecule" drugs often prove to be too small to grip the broad, flat surfaces involved in protein-protein interactions. On the other hand, peptides—short chains of amino acids—can cover larger...
Toward Signing Activity Projection in Sign Language Interaction
Announce Type: new Abstract: Social robots must interact robustly not only with users assumed by speech-centered systems but also with diverse users whose communication relies on different modalities, e.g., sign language. One important capability gap is predictive turn-taking with signing users. Although Voice Activity Projection (VAP) has been successfully used to model future voice activity in spoken interaction, it remains unclear whether the framework transfers to sign language interaction.
Real-time fish interaction enlarges young guppy brains, while screen time falls short
Real-time fish interaction enlarges young guppy brains, while screen time falls short Sadie Harley Scientific Editor Robert Egan Associate Editor Young guppies who were able to see and interact with live fish developed larger brains than guppies who only saw other fish on a screen. This is shown in a new study from Stockholm University, published in Biology Letters. The findings suggest that live social interaction in real time may be important for brain development.
Kairos: Lightweight Testing Framework for Timing-Induced Interaction Failures in LTE and 5G Core Networks
Announce Type: new Abstract: As cellular core networks evolve toward distributed and cloud-native architectures, control-plane interactions become more intricate and bring new challenges. Among these challenges, we find that introducing specific timing between two control-plane interactions can cause network function crash, which we define as timing-induced interaction failures. Prior research primarily addresses identifying malformed inputs and specification violations, while timing-induced...
Towards Retrieving Interaction Spaces for Agentic Search
Announce Type: new Abstract: Retrieval for search agents is still inherited from non-agentic information retrieval: a retriever ranks the corpus and the agent reads a small set of returned documents. Recent direct corpus interaction (DCI) work shows that agents can instead interact with the raw corpus through shell tools such as grep and file reads. But unbounded interaction does not scale: every broad shell command is a scan over the whole corpus, and latency degrades sharply as the corpus...
ZeroWBC: Learning Natural Whole-Body Humanoid Interaction from Human Egocentric Data
arXiv:2603.09170v2 Announce Type: replace Abstract: Achieving versatile and natural whole-body humanoid interaction control remains challenging due to the high cost of whole-body teleoperation data. We present ZeroWBC, a teleoperation-free framework that learns humanoid whole-body interaction from human egocentric videos paired with synchronized whole-body motion and text annotations. ZeroWBC adopts a generation-then-tracking formulation to tackle the static scene whole-body interaction...
DuplexOmni: Real-Time Listening, Seeing, Thinking, and Speaking for Full-Duplex Interaction
arXiv:2606.09186v1 Announce Type: new Abstract: Human interaction is continuous, multimodal, and full-duplex by nature. Although recent omni models have made substantial progress in unified speech, vision, and text modeling, combining seamless real-time interaction with complex reasoning and tool use remains challenging. We present DuplexOmni, a method for real-time multimodal full-duplex interaction.