Israel has published its National AI Strategic Plan, a five-year program committing the government to a national computing base of at least 100,000…
Category: AI
Advancing MLLM-based UAV Image Understanding and Reasoning: A Benchmark and a Training-Free Multi-Agent System
arXiv:2608.11738v1 Announce Type: cross Abstract: Multimodal Large Language Model (MLLM)-based UAV aerial image understanding and reasoning is essential…
Anthropic set AI agents loose on the same task. They started a turf war.
Anthropic researchers found AI agents can clash, collude and coordinate in unexpected ways, raising new questions about whether today’s safety tests…
G0.5: One Autoregressive Stream for Robot Reasoning and Action
arXiv:2608.11739v1 Announce Type: cross Abstract: The prevailing recipe for Vision-Language-Action (VLA) models couples a pretrained VLM with a separately…
Suno Studio 2.0 Turns Played MIDI Into a Prompt for AI-Generated Audio
Suno released Studio 2.0 on August 13, 2026, a major upgrade to its browser-based generative audio workstation that adds MIDI recording and editing, a…
JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis
arXiv:2608.11741v1 Announce Type: cross Abstract: The scholarly exegesis of ancient Chinese characters demands integrating visual observation, linguistic…
When the API Speaks the Wrong Language: Revisiting Post-Training for Multilingual Tool Use
arXiv:2608.11715v1 Announce Type: cross Abstract: The reliability of Large Language Models (LLMs) for API calling degrades in multilingual settings. A…
A 12-CNOT Double Qubit Excitation Gate
arXiv:2608.11733v1 Announce Type: cross Abstract: Effective implementation of high-level quantum gates is essential for practical quantum computing. To…
Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Based Granular Ball Computing
arXiv:2608.11704v1 Announce Type: cross Abstract: Dynamic Time Warping (DTW)-based Nearest-Neighbor (NN) classifiers are effective for time-series…
High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions
arXiv:2608.11713v1 Announce Type: cross Abstract: Multi-objective Bayesian optimization (MOBO) is effective in identifying the Pareto fronts for expensive…