https://scholarreels.com/reelshttps://scholarreels.com/reels/abouthttps://scholarreels.com/reels/teamhttps://scholarreels.com/reels/privacyhttps://scholarreels.com/reels/termshttps://scholarreels.com/reels/policyhttps://scholarreels.com/reels?author=Adam+Oberman2026-07-21https://scholarreels.com/reels?author=Alperen+Degirmenci2026-07-07https://scholarreels.com/reels?author=Baining+Guo2026-07-06https://scholarreels.com/reels?author=Christos+Kozyrakis2026-07-07https://scholarreels.com/reels?author=D.+Shukla2026-08-17https://scholarreels.com/reels?author=Damiano+Fornasiere2026-07-21https://scholarreels.com/reels?author=David+Williams-King2026-07-21https://scholarreels.com/reels?author=Fabian+Wirth2026-09-08https://scholarreels.com/reels?author=Han+Hu2026-07-06https://scholarreels.com/reels?author=Hiroki+Oda2026-07-05https://scholarreels.com/reels?author=Hugo+Hadfield2026-07-07https://scholarreels.com/reels?author=Jason+Clemons2026-07-07https://scholarreels.com/reels?author=Jesse+Richardson2026-07-21https://scholarreels.com/reels?author=Jia+Yuan+Yu2026-09-08https://scholarreels.com/reels?author=Johannes+Bertram2026-07-06https://scholarreels.com/reels?author=Joumana+Ghosn2026-07-21https://scholarreels.com/reels?author=Kinga+Makovi2026-07-05https://scholarreels.com/reels?author=Luciano+Dyballa2026-07-06https://scholarreels.com/reels?author=Marc-Antoine+Rondeau2026-07-21https://scholarreels.com/reels?author=Matt+MacDermott2026-07-21https://scholarreels.com/reels?author=Michael+Cohen2026-07-21https://scholarreels.com/reels?author=Milena+Tsvetkova2026-07-05https://scholarreels.com/reels?author=Oliver+Richardson2026-07-21https://scholarreels.com/reels?author=Pierre-Luc+St-Charles2026-07-21https://scholarreels.com/reels?author=Pietro+Greiner2026-07-21https://scholarreels.com/reels?author=Robert+Shorten2026-09-08https://scholarreels.com/reels?author=Rowland+O'Flaherty2026-07-07https://scholarreels.com/reels?author=S.+E.+Alam2026-08-17https://scholarreels.com/reels?author=Savik+Kinger2026-07-06https://scholarreels.com/reels?author=Shuran+Song2026-07-07https://scholarreels.com/reels?author=Stephen+Lin2026-07-06https://scholarreels.com/reels?author=Steven+W.+Zucker2026-07-06https://scholarreels.com/reels?author=Syed+Eqbal+Alam2026-09-08https://scholarreels.com/reels?author=S%C3%B6ren+Mindermann2026-07-21https://scholarreels.com/reels?author=T.+Anderson+Keller2026-07-06https://scholarreels.com/reels?author=Taha+Yasseri2026-07-05https://scholarreels.com/reels?author=Tsun-Ming+Tseng2026-09-08https://scholarreels.com/reels?author=Ulf+Schlichtmann2026-09-08https://scholarreels.com/reels?author=Wenqi+Jiang2026-07-07https://scholarreels.com/reels?author=Yashraj+Narang2026-07-07https://scholarreels.com/reels?author=Yixuan+Wei2026-07-06https://scholarreels.com/reels?author=Yoshua+Bengio2026-07-21https://scholarreels.com/reels?author=Yue+Cao2026-07-06https://scholarreels.com/reels?author=Yushen+Zhang2026-09-08https://scholarreels.com/reels?author=Yutong+Lin2026-07-06https://scholarreels.com/reels?author=Ze+Liu2026-07-06https://scholarreels.com/reels?author=Zhan+Shu2026-09-08https://scholarreels.com/reels?author=Zheng+Zhang2026-07-06https://scholarreels.com/reels?cat=cs.AI2026-07-21https://scholarreels.com/reels?cat=cs.CV2026-07-06https://scholarreels.com/reels?cat=cs.RO2026-07-07https://scholarreels.com/reels?cat=cs.SI2026-07-05https://scholarreels.com/reels?cat=cs.SY2026-08-17https://scholarreels.com/reels?cat=eess.SY2026-09-08https://scholarreels.com/reels?cat=q-bio.NC2026-07-06https://scholarreels.com/reels?institution=Department+of+Computer+Science2026-07-06https://scholarreels.com/reels?institution=Depts.+of+Computer+Science+and+Biomedical+Engineering2026-07-06https://scholarreels.com/reels?institution=Harvard+University2026-07-06https://scholarreels.com/reels?institution=IE+University2026-07-06https://scholarreels.com/reels?institution=Imperial+College+London2026-07-21https://scholarreels.com/reels?institution=McGill+University2026-07-21https://scholarreels.com/reels?institution=Microsoft+Research+Asia2026-07-06https://scholarreels.com/reels?institution=Mila+---+Quebec+AI+Institute2026-07-21https://scholarreels.com/reels?institution=NVIDIA+Research2026-07-07https://scholarreels.com/reels?institution=SheQAI+Research2026-07-06https://scholarreels.com/reels?institution=Stanford+University2026-07-07https://scholarreels.com/reels?institution=Technical+University+of+Munich2026-09-08https://scholarreels.com/reels?institution=Technology2026-07-06https://scholarreels.com/reels?institution=The+Kempner+Institute+for+Natural+and+Artificial+Intelligence2026-07-06https://scholarreels.com/reels?institution=University+of+Alberta2026-07-06https://scholarreels.com/reels?institution=University+of+California2026-07-21https://scholarreels.com/reels?institution=Universit%C3%A9+de+Montr%C3%A9al2026-07-21https://scholarreels.com/reels?institution=Wu+Tsai+Institute2026-07-06https://scholarreels.com/reels?institution=Yale+University2026-07-06https://scholarreels.com/reels?tag=%23robotics2026-07-07https://scholarreels.com/reels?tag=%23robotics-foundation-models2026-07-07https://scholarreels.com/reels?type=abstracts2026-08-17https://scholarreels.com/reels?type=highlights2026-09-08https://scholarreels.com/reels?type=shorts2026-09-08https://scholarreels.com/reels?venue=2023+American+Control+Conference+(ACC)2026-08-17https://scholarreels.com/reels?venue=Analytics+for+the+Sharing+Economy:+Mathematics,+Engineering+and+Business+Perspectives2026-09-08https://scholarreels.com/reels?venue=ICCV2026-07-06https://scholarreels.com/reels/org/sheqai-researchhttps://scholarreels.com/reels/69ed6a4231b14d0abdff427ec9a5b7832026-07-05https://scholarreels.com/reels/69ed6a4231b14d0abdff427ec9a5b783/media/thumbA field experiment of social influence and behavioral contagion with bots on RedditHiroki Oda, Kinga Makovi, Taha Yasseri, Milena Tsvetkova: A field experiment of social influence and behavioral contagion with bots on Reddit.https://scholarreels.com/reels/69ed6a4231b14d0abdff427ec9a5b783/media/socialhttps://scholarreels.com/reels/69ed6a4231b14d0abdff427ec9a5b783/embed552026-07-05T09:34:47+00:00https://scholarreels.com/reels/a364ec770ff6433d91e5df10de96a2202026-07-06https://scholarreels.com/reels/a364ec770ff6433d91e5df10de96a220/media/thumbDecoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience=-1 Decoding approaches are widely used in neuroscience and machine learning to compare stimulus representations across neural systems, such as different brain regions, organisms, and deep learning models. Popular methods include decoding (perceptual) manifolds and alignment metrics such as Representational Similarity Analysis (RSA) and Dynamic Similarity Analysis (DSA), where similarity in decoding representations is interpreted as evidence for similar computation. This paper demonstrates a fundamental weakness behind this approach: it is misleading to assume that representational geometry is representative of a neuronal population as a whole, when such representations may actually be shaped by a very small subset of neurons.https://scholarreels.com/reels/a364ec770ff6433d91e5df10de96a220/media/socialhttps://scholarreels.com/reels/a364ec770ff6433d91e5df10de96a220/embed592026-07-06T05:13:15+00:00https://scholarreels.com/reels/8d915933ecf24967b062f405e424d9052026-07-06https://scholarreels.com/reels/8d915933ecf24967b062f405e424d905/media/thumbSwin Transformer: Hierarchical Vision Transformer using Shifted WindowsThis paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of pixels in images compared to words in text. To address these differences, we propose a hierarchical Transformer whose representation is computed with Shifted windows. The shifted windowing scheme brings greater efficiency by limiting self-attention computation to non-overlapping local windows while also allowing for cross-window connection. This hierarchical architecture has the flexibility to model at various scales and has linear computational complexity with respect to image size.https://scholarreels.com/reels/8d915933ecf24967b062f405e424d905/media/socialhttps://scholarreels.com/reels/8d915933ecf24967b062f405e424d905/embed602026-07-06T05:19:26+00:00https://scholarreels.com/reels/1fcb069e3f1e44998d09ac7c68a7676e2026-07-07https://scholarreels.com/reels/1fcb069e3f1e44998d09ac7c68a7676e/media/thumbROSA: A Robotics Foundation Model Serving System for Robot FactoriesRobotics foundation models (RFMs) are making general-purpose robots increasingly practical for factory deployments. While RFM serving systems are central to this vision, existing systems are largely shaped by a single-robot, single-model assumption: inference is treated as an edge-computing problem handled by an on-robot or dedicated nearby GPU, and the serving objective is to minimizing the latency of a single action model. In this paper, we propose , the Robotics Oriented Serving Architecture, an RFM serving system for robot factories designed around three key principles. First, adopts shared GPU-pool serving, allowing a fleet of robots to access powerful server-class GPUs over the network in order to improve inference performance, battery duration, and GPU utilization.https://scholarreels.com/reels/1fcb069e3f1e44998d09ac7c68a7676e/media/mainhttps://scholarreels.com/reels/1fcb069e3f1e44998d09ac7c68a7676e/embed752026-07-07T07:37:28+00:00https://scholarreels.com/reels/f7084094bef74255b93c617a1593c58f2026-07-07https://scholarreels.com/reels/f7084094bef74255b93c617a1593c58f/media/thumbROSA: A Robotics Foundation Model Serving System for Robot FactoriesWenqi Jiang, Jason Clemons, Rowland O'Flaherty, Hugo Hadfield, Alperen Degirmenci, Shuran Song, Yashraj Narang, Christos Kozyrakis: ROSA: A Robotics Foundation Model Serving System for Robot Factories. CoRR abs/arXiv:2607.01088https://scholarreels.com/reels/f7084094bef74255b93c617a1593c58f/media/socialhttps://scholarreels.com/reels/f7084094bef74255b93c617a1593c58f/embed412026-07-07T07:37:55+00:00https://scholarreels.com/reels/4fba57056b294ef9b28d2738acc2ab492026-07-06https://scholarreels.com/reels/4fba57056b294ef9b28d2738acc2ab49/media/thumbCollaborative AI Agents and Critics for Fault Detection and Cause Analysis in Network TelemetryWe develop algorithms for collaborative control of AI agents and critics in a multi-actor, multi-critic federated multi-agent system. Each AI agent and critic has access to classical machine learning or generative AI foundation models. The AI agents and critics collaborate with a central server to complete multimodal tasks such as fault detection, severity, and cause analysis in a network telemetry system, text-to-image generation, video generation, healthcare diagnostics from medical images and patient records, etcetera. The AI agents complete their tasks and send them to AI critics for evaluation. The critics then send feedback to agents to improve their responses. Collaboratively, they minimize the overall cost to the system with no inter-agent or inter-critic communication. AI agents and critics keep their cost functions or derivatives of cost functions private.https://scholarreels.com/reels/4fba57056b294ef9b28d2738acc2ab49/media/mainhttps://scholarreels.com/reels/4fba57056b294ef9b28d2738acc2ab49/embed1742026-07-06T06:54:03+00:00https://scholarreels.com/reels/b767bf48185649e390a0f1819260c56d2026-07-21https://scholarreels.com/reels/b767bf48185649e390a0f1819260c56d/media/thumbSuperintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?The leading AI companies are increasingly focused on building generalist AI agents---systems that can autonomously plan, act, and pursue goals across almost all tasks that humans can perform. Despite how useful these systems might be, unchecked AI agency poses significant risks to public safety and security, ranging from misuse by malicious actors to a potentially irreversible loss of human control. We discuss how these risks arise from current AI training methods. Indeed, various scenarios and experiments have demonstrated the possibility of AI agents engaging in deception or pursuing goals that were not specified by human operators and that conflict with human interests, such as self-preservation. Following the precautionary principle, we see a strong need for safer, yet still useful, alternatives to the current agency-driven trajectory.https://scholarreels.com/reels/b767bf48185649e390a0f1819260c56d/media/socialhttps://scholarreels.com/reels/b767bf48185649e390a0f1819260c56d/embed282026-07-21T23:42:36+00:00https://scholarreels.com/reels/sub-32026-08-17https://scholarreels.com/reels/sub-3/media/thumbExistence of a Unique Invariant Measure and Ergodic Property in AIMD-based Multi-resource AllocationS. E. Alam, D. Shukla: Existence of a Unique Invariant Measure and Ergodic Property in AIMD-based Multi-resource Allocation.https://scholarreels.com/reels/sub-3/media/mainhttps://scholarreels.com/reels/sub-3/embed1682026-08-17T01:49:21+00:00https://scholarreels.com/reels/8e6cf356fd5842c6a0a3a2c6a5e1929e2026-09-08https://scholarreels.com/reels/8e6cf356fd5842c6a0a3a2c6a5e1929e/media/thumbPrint-Aware Synthesis and Physical Design Methodologies for 3D-Printed Microfluidic BiochipsMicrofluidic devices are widely used in diagnostics, chemical synthesis, and biological analysis, but their development often depends on complex fabrication and design processes. Resin-based three-dimensional (3D) printing has emerged as a promising alternative to conventional microfabrication because it enables low-cost, rapid prototyping of complex multi-layer structures. However, the practical realization of 3D-printed microfluidic biochips remains challenging due to manual and expertise-intensive design workflows, the rigid nature of commonly used printing materials, and fabrication inaccuracies such as over-curing that distort internal features and may block narrow channels. In this paper, we present a cohesive design automation framework for 3D-printed microfluidics that addresses these challenges across both device design and fabrication.https://scholarreels.com/reels/8e6cf356fd5842c6a0a3a2c6a5e1929e/media/socialhttps://scholarreels.com/reels/8e6cf356fd5842c6a0a3a2c6a5e1929e/embed452026-09-08T17:32:55+00:00https://scholarreels.com/reels/sub-42026-09-08https://scholarreels.com/reels/sub-4/media/thumbDistributed Algorithms for Internet-of-Things- enabled Prosumer Markets: A Control Theoretic PerspectiveSyed Eqbal Alam, Robert Shorten, Fabian Wirth, Jia Yuan Yu: Distributed Algorithms for Internet-of-Things- enabled Prosumer Markets: A Control Theoretic Perspective. CoRR abs/arXiv:1812.07636https://scholarreels.com/reels/sub-4/media/mainhttps://scholarreels.com/reels/sub-4/embed572026-09-08T18:43:41+00:00https://scholarreels.com/reels/sub-52026-09-08https://scholarreels.com/reels/sub-5/media/thumbCollaborative AI Agents and Critics for Fault Detection and Cause Analysis in Network TelemetrySyed Eqbal Alam, Zhan Shu: Collaborative AI Agents and Critics for Fault Detection and Cause Analysis in Network Telemetry. CoRR abs/2604.00319 (2026)https://scholarreels.com/reels/sub-5/media/mainhttps://scholarreels.com/reels/sub-5/embed742026-09-08T20:58:04+00:00