The wide spread of new energy resources, smart devices, and demand side management strategies has motivated several analytics operations, from infrastructure load modeling to user behavior profiling. Energy Demand Forecasting (EDF) of Electric Vehicle Supply Equipments (EVSEs) is one of the most critical operations for ensuring efficient energy management and sustainability, since it enables utility providers to anticipate energy/power demand, optimize resource allocation, and implement proactive measures to improve grid reliability. However, accurate EDF is a challenging problem […]

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arXiv:2601.22600v1 Announce Type: new Abstract: We introduce the Thresholding Monte Carlo Tree Search problem, in which, given a tree $mathcal{T}$ and a threshold $theta$, a player must answer whether the root node value of $mathcal{T}$ is at least $theta$ or not. In the given tree, `MAX’ or `MIN’ is labeled on each internal node, and the value of a `MAX’-labeled (`MIN’-labeled) internal node is the maximum (minimum) of its child values. The value of a leaf node is […]

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arXiv:2601.08017v1 Announce Type: new Abstract: We show that for a variety of concepts in adapter-based vision-language models, the representations of their images and their text descriptions are meaningfully aligned from the very first layer. This contradicts the established view that such image-text alignment only appears in late layers. We show this using a new synthesis-based method inspired by DeepDream: given a textual concept such as “Jupiter”, we extract its concept vector at a given layer, and then use […]

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arXiv:2602.22346v1 Announce Type: new Abstract: Autonomous mobile service robots, like lawnmowers or cleaning robots, operating in human-populated environments need to reason about local human-human interactions to support safe and socially aware navigation while fulfilling their tasks. For such robots, interaction understanding is not primarily a fine-grained recognition problem, but a perception problem under limited sensing quality and computational resources. Many existing approaches focus on holistic group activity recognition, which often requires complex and large models which may not […]

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New international student enrollment at U.S. colleges and universities plunged 17% in fall 2025, the steepest non-pandemic decline in over a decade, according to data released today by the Institute of International Education. More than half of the 825 institutions surveyed reported decreases, with a majority citing visa application concerns. lead , Neal McCluskey, Director of Cato’s Center for Educational Freedom, warns: “Dropping international student enrollment is troubling for American higher education and the country. The United States […]

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arXiv:2603.15663v1 Announce Type: new Abstract: We present OrthoAI v2, the second iteration of our open-source pipeline for AI-assisted orthodontic treatment planning with clear aligners, substantially extending the single-agent framework previously introduced. The first version established a proof-of-concept based on Dynamic Graph Convolutional Neural Networks (dgcnn{}) for tooth segmentation but was limited to per-tooth centroid extraction, lacked landmark-level precision, and produced a scalar quality score without staging simulation. vtwo{} addresses all three limitations through three principal contributions: (i)~a second […]

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Assignement2: Deep Learning-Based Quiz (Visual MCQ Solver) You will be given PNG images containing questions from deep learning Your tasks: Process and understand questions from images Build a model to answer MCQs Each question will have 4 options with only 1 correct answer can someone tell me how i can solve this task i mean i have image which contain textual question can include equation also i dont know what is best way to solve this task if […]

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arXiv:2505.15175v3 Announce Type: replace Abstract: Backdoor and data-poisoning attacks can flip predictions with tiny training corruptions, yet a sharp theory linking poisoning strength, overparameterization, and regularization is lacking. We analyze ridge least squares with an unpenalized intercept in the high-dimensional regime (p,ntoinfty), (p/nto c). Targeted poisoning is modelled by shifting a (theta)-fraction of one class by a direction (mathbf{v}) and relabelling. Using resolvent techniques and deterministic equivalents from random matrix theory, we derive closed-form limits for the poisoned […]

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