“N/A”

“DRL-TH outperforms existing methods in various crowded environments. We also implemented DRL-TH control policy on a real UGV and showed that it performed well in real world scenarios.”

“DATAMASK achieves significant improvements of 3.2% on a 1.5B dense model and 1.9% on a 7B MoE model.”

“IDT produces view-consistent intrinsic factors in a single forward pass, without iterative generative sampling.”

“The Bayesian joint model consistently outperforms conventional two-stage approaches in terms of parameter estimation accuracy and predictive performance.”

“The evaluation protocol jointly measures average accuracy, average cost, and throughput, and builds a ranking score from the harmonic mean of normalized cost and accuracy to enable comparison across router configurations and cost budgets.”

“Numerical results indicate that incorporating MAs yields additional performance improvements for RSMA, and MA assistance yields a greater performance gain for RSMA relative to SDMA.”

“LatentNN reduces attenuation bias across a range of signal-to-noise ratios where standard neural networks show large bias.”

“NODE jointly trains a neural reconstruction model and a fixed-budget set of continuous design variables... within a single optimization loop.”

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“SCPainter integrates 3D Gaussian Splat (GS) car asset representations and 3D scene point clouds with diffusion-based generation to jointly enable realistic 3D asset insertion and NVS.”

“INTERACT-CMIL achieves consistent improvements over CNN and foundation-model (FM) baselines, with relative macro F1 gains up to 55.1% (WHO4) and 25.0% (vertical spread).”

“The work experimentally demonstrates joint phase and phase-diffusion estimation using deterministic Bell measurements on a two-qubit system, achieving improved estimation precision compared to any separable measurement strategy.”

“They are jointly opening a new era of "value validation" in the AI industry. If they can obtain high valuation recognition from the capital market, it will greatly boost the morale of the entire Chinese AI industry.”

“The proposed BS-dependent data association model constitutes a principled approach for classifying features by arbitrary properties, such as reflection order or feature type (scatterers versus walls).”

“The method achieved a classification accuracy of 0.94 and a specificity of 0.933 for HER2 status scoring.”

“CONTRA improves user throughput and reduces both THO and CHO switching costs, outperforming 3GPP-compliant and Reinforcement Learning (RL) baselines in dynamic and real-world scenarios.”

“The jointly trained model achieves Tumor Dice scores of 76.7% on CT and 78.3% on MRI, significantly exceeding the strong unimodal nnU-Net baseline.”

“The bidirectional constraint makes visual predictions executable and keeps decisions grounded in physically consistent, task-relevant futures, mitigating cumulative errors common in decoupled 'envision-then-plan' pipelines.”

“The research focuses on the problem of remote estimation over time-correlated fading channels.”

“Semantic Scene Completion (SSC) is crucial for 3D perception in mobile robotics, as it enables holistic scene understanding by jointly estimating dense volumetric occupancy and per-voxel semantics.”

“Stitches can improve ensembles of disjointly trained models.”

“The article's source is ArXiv.”

“JoDiffusion jointly diffuses image with pixel-level annotations.”

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“The research focuses on joint partitioning and placement of foundation models.”

“Microsoft is investing $1 billion in OpenAI to support us building artificial general intelligence (AGI) with widely distributed economic benefits. We’re partnering to develop a hardware and software platform within Microsoft Azure which will scale to AGI. We’ll jointly develop new Azure AI supercomputing technologies, and Microsoft will become our exclusive cloud provider—so we’ll be working hard together to further extend Microsoft Azure’s capabilities in large-scale AI systems.”