Route Composition
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Related Articles from SNS
ChronoForest: Closed-Loop Multi-Tree Diffusion Planning for Efficient Bridge Search and Route Composition
arXiv:2606.06618v1 Announce Type: new Abstract: How can we plan long-horizon routes that reach designated goals, visit required waypoints, and remain short when only short-horizon offline trajectories are available? This problem matters in offline navigation because collecting sufficiently rich long-horizon data is difficult, yet real agents must still solve long-range tasks with route-level efficiency rather than mere feasibility.
DisasterLex: An Expert Concept-to-Schema Knowledge Graph for Geospatial Reasoning in Disaster Analytics
arXiv:2605.30538v1 Announce Type: new Abstract: Disasters are inevitable and increasingly costly, and effective response depends on querying structured tabular data: precise, information-dense records of hazard, exposure, vulnerability, and lifeline infrastructure that underpin disaster management. Current text-to-SQL methods enable natural-language access to such tables but transfer poorly to the disaster domain, where queries span heterogeneous geospatial schemas and require reasoning over...
Asia chip-linked shares recover after U.S. peers bounce back
Asian technology stocks rebounded Tuesday, tracking Wall Street's gains, as investors returned to artificial intelligence-linked names. South Korean memory chip giant SK Hynix climbed 6.44%, while Samsung Electronics gained 3.38%. Seoul Semiconductor jumped over 12%.
Subtraction Gets You More: Gap-Aware Retrieval for Multimodal Multi-Hop QA
arXiv:2605.28641v2 Announce Type: replace Abstract: In multimodal multi-hop question answering, we focus on the initial retrieval stage via two distinct tasks: (1) evidence set completion, retrieving missing evidence given context, and (2) sequential pool construction, iteratively building the top-$K$ pool from the scratch. Under these settings, we point out that conventional iterative retrieval frameworks often suffer from Semantic Anchoring, where previously fetched evidence traps the...
Explainer-Why SpaceX faces a longer wait to join S&P 500
Explainer-Why SpaceX faces a longer wait to join S&P 500 June 5 : SpaceX's entry into the S&P 500 will take longer after S&P Dow Jones Indices declined to relax rules for megacap IPOs, delaying billions in passive fund inflows from the potential inclusion. The decision keeps several barriers intact. To join the S&P 500, a company must trade publicly for at least 12 months, be profitable under U.S. accounting standards and hold a free float of at least 10 per cent.
Ahoy, DECmate II the little PDP-8 that could
Now, that's a lot of word processing. But under the hood it's still at least PDP-8 adjacent, even considering its oddities and incompatibilities, and you can make it do many of the things a full-size Eight can. We'll take this basic unit, convert the floppy drives to solid state, tap the video output, and put it through its paces.
Learning-to-Defer with Expert-Conditional Advice
arXiv:2603.14324v5 Announce Type: replace-cross Abstract: Learning-to-Defer routes each input to the expert that minimizes expected cost, but it assumes that the information available to every expert is fixed at decision time. Many modern systems violate this assumption: after selecting an expert, one may also choose what additional information that expert should receive, such as retrieved documents, tool outputs, or escalation context. We study this problem and call it Learning-to-Defer...
Programming Domain-Specific FPGA Hardblocks from HLS: An RTL Blackbox Approach
Announce Type: new Abstract: Domain-specific Field Programmable Gate Array (FPGA) architectures increasingly integrate specialized hardblocks, such as Tensor Slices, to accelerate artificial intelligence and machine learning workloads. Despite their efficiency benefits, these architectures remain difficult to program because designers typically rely on manual Register-Transfer Level (RTL) integration to access these hardblocks. This paper presents a compiler-agnostic methodology that enables...
Embody4D: A Generalist Data Engine for Embodied 4D World Modeling
arXiv:2605.01799v2 Announce Type: replace Abstract: Embodied agents require robust and comprehensive 3D spatiotemporal representations to support spatial reasoning, manipulation understanding, and downstream decision making. However, existing robot data are typically captured from fixed or sparse viewpoints, providing only partial and view-dependent observations, which limits multi-view perception and generalization across viewpoints. Given the difficulty of collecting additional viewpoints...
Exploring diverse routes to high-affinity-antibody variable domains through deep-sequencing-informed machine learning
The integration of in vitro selection, deep sequencing, and machine learning (ML) has recently been developed as a powerful strategy for discovering functional antibodies. However, how training data composition and ML search space design influence the identification of high-affinity variants remains unclear. Here, we aimed to optimize ML-integrated directed evolution for functional antibody discovery by selecting training data from deep sequencing analysis.