AI News Archive: June 30, 2026 — Part 25
Sourced from 500+ daily AI sources, scored by relevance.
- ChronoFlow-Policy: Unifying Past-Current-Future Interaction Flow in Visuomotor Policy Learning
Visual signals play a crucial role in policy learning by enabling models to capture object motion and interaction dynamics. Just as humans reason about actions using both past experience and anticipated outcomes, effective policies should integrate past interactions with future predictions. However,...
- Energy-Optimal Spatial Iterative Learning within a Virtual Tube
Due to the limited endurance of embedded energy sources such as lithium-polymer (LiPo) batteries, the flight duration and operational range of unmanned aerial vehicles (UAVs) are severely constrained. Although energy-efficient trajectory planning and control have been widely studied, most existing a...
- A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios
Personalized driving can improve the user acceptance of automated driving systems. However, existing methods still provide limited support for translating natural-language driving preferences, especially when such preferences are expressed implicitly, into executable and distinguishable driving beha...
- Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation
Vision-Language-Action (VLA) models have made significant strides in embodied intelligence by integrating the powerful representations of pre-trained Vision-Language Models (VLMs). However, the massive parameter scale of VLAs imposes a heavy computational burden, and these models exhibit extreme sen...
- Plan Right, Then Plan Tight: Symbolic RL for Efficient Embodied Reasoning
Embodied task planning asks an agent to turn a natural-language instruction into an executable sequence of actions in a physical scene, and is a building block for household, assistive, and service robots. Recent prompting-based and reinforcement-learning planners generate fluent action text but lac...
- Madyis Hub
Run your whole customer relationship with AI, or resell it
- TactX: Learning Shared Tactile Representations Across Diverse Sensors
Tactile sensors provide critical information for contact-rich manipulation, yet tactile representations and policies remain tightly coupled to each specific sensor, limiting transferability across robots and hardware platforms. We propose TactX, a framework for learning a transferable tactile repres...
- Diffusion-based 4D Trajectory Prediction and Distributed Control for UAV Swarms
Accurate 4D trajectory prediction and closed-loop tracking are essential for Unmanned Aerial Vehicle (UAV) swarms to achieve safe and efficient operations in complex low-altitude environments such as urban airspaces, industrial sites, and indoor facilities. However, this task remains challenging due...
- MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents
VLA models have emerged as a powerful paradigm for transferring semantic knowledge from web-scale data to physical robotic control. However, current single-frame architectures suffer from intrinsic limitations: temporal myopia that discards historical dynamics, reasoning gaps between high-level inst...
- A Modular Vision-Language-Action Robotics Framework for Indoor Environments
This paper presents an integrated system for the CMU Vision-Language-Action (VLA) Challenge, designed to enable an autonomous agent to perform complex tasks based on natural language instructions. Our framework employs a modular architecture that orchestrates environment mapping, question processing...
- ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies
Generative control policies (GCPs), such as diffusion policies and flow-based vision-language-action models, enable test-time scaling in robot control. Test-time compute can be allocated along two axes: sequential scaling, which increases denoising steps to refine actions, and parallel scaling, whic...
- Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors
Bridging the sim-to-real gap is a core challenge in deploying learned manipulation policies. Sim-to-real learning is attractive because it can replace expensive real robot demonstrations with scalable synthetic data, yet world-action models have not previously been shown to transfer from simulation ...
- Hierarchical 3D Scene Graph Construction and Belief-based Planning for Semantic Navigation
Semantic navigation is a fundamental task for embodied agents operating in unseen environments, requiring both semantic understanding and long-term decision-making. Recent foundation models have empowered agents with rich semantic priors for this task. However, without structured global representati...
- On the Convergence of Self-Improving Online LLM Alignment
The Self-Improving Alignment (SAIL) algorithm addresses distribution shift by reducing a bilevel formulation of the problem to an efficient, single-level method. Empirically, SAIL has demonstrated strong performance on this task. However, a formal analysis of its convergence properties has been lack...
- Can Tabular In-Context Learners Generalize to Biomolecular Property Prediction?
Predicting biomolecular properties from limited labeled data is a central bottleneck in protein engineering and small-molecule design. As strong pretrained encoders now supply rich fixed-length representations, the difficulty has shifted from representation learning to building a data-efficient pred...
- SokuMemo
A lightning-fast memo app for capturing ideas instantly
- Lyric Video Maker
Create AI lyric videos with auto-synced lyrics from any song
- Humanize AI
Make AI text sound natural and human
- Geondex
See where AI engines cite you — and who's beating you
- HF4
The Local AI Workspace That Works With You
- bulkcertify
AI auto generate and send Bulk of personalized certificates
- Fisio.Art
AI Practice Management Software for Pilates & Physiotherapy
- Goose Book
AI-native workspace for writing and publishing books.
- DualTrack
Track money in 2 currencies. Offline. Free.
- BudgetReady
Decide how to live the month, before you live it.
- Streamify Web Player
an Ad-free music app that plays from multiple sources
- MartechAI by Derail Logic
Your AI-powered marketing command center.
- On Optimal Data Splitting for Split Conformal Prediction
Conformal prediction and its variants, including the split conformal prediction, provide a distribution-free framework for uncertainty quantification by constructing prediction intervals or sets with finite-sample coverage guarantees. The statistical efficiency of these intervals depends critically ...
- Contextual Slate GLM Bandits with Limited Adaptivity
We investigate the contextual slate bandit problem with generalized linear rewards under limited adaptivity. At each round, the learner is presented with $N$ sets of items, where each item is represented by a $d$-dimensional feature vector. The learner then constructs a slate by selecting one item p...
- Sequential sparse Gaussian process quantile regression
Quantile regression aims to estimate the conditional quantiles of a response variable from observed data. In a Bayesian setting, Gaussian process quantile regression provides uncertainty quantification but faces significant computational challenges due to the nonconjugacy of the asymmetric Laplace l...
- MNAR-$k$-means: A $k$-means Clustering for Data Missing Not at Random with Magnitude-Decaying Probability
The classical $k$-means clustering, based on distances computed from all data features, cannot be directly applied to incomplete data with missing values. A natural extension of $k$-means to missing data is to involve only the observed positions in clustering, which is equivalent to imputing missing...
- Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing
We study the task of learning the structure of a $d$-sparse Gaussian graphical model on $n$ variables from a single trajectory of Glauber dynamics. Beyond algorithmic considerations, many applications present temporally correlated observations rather than i.i.d.\ samples. In the classical i.i.d.\ se...
- Dynamic Gaussian Processes and the Vanilla-SPDE Exchange
Gaussian process inference is often limited by cubic computational costs, a challenge that becomes more pronounced in spatio-temporal settings where posterior inference is required over dense grids. While state-space SPDE formulations enable linear complexity in time, exact inference remains cubic i...
- Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
Recent work has shown that well-optimized individual decision trees can match complex black box models in some settings, primarily in noisy domains. For the remaining settings, however, complex ensembled compositions of trees often achieve higher accuracy at the cost of interpretability, leaving pra...
- Cursor for iOS
Build with coding agents from anywhere
- Foresight by Lightning Rod
Predict anything with AI
- Akiflow
Manage tasks and calendars from Claude, ChatGPT or Cursor
- Supafax
Email-native assistant that learns how you work
- Pluno
Browser agent that’s 10x faster than Claude
- AgentPeek
Claude Code & Codex in your Mac notch
- Load Nova
An AI co-pilot and dashboard built for dispatcher speed
- Clade
AI COO that runs your team in tools you already use
- Webless
AI search for websites that converts traffic into pipeline
- Clyro
Control AI agents safely at runtime
- Splitman
The free, ad-free alternative to Splitwise
- Friday AI
The full-stack AI Agent — Claude Code meets Lovable
- Product Patterns from Real Products
The UX pattern library your AI agent can actually read
- Partnac
Scale Your Revenue Through Automated Partnerships
- RenderCurve
Know why every content wins or flops, your channel's analyst
- CXWizard V2
Sales & Customer Support AI agents for SMBs