FlexSpIM, a digital CIM architecture supporting arbitrary operand resolution and shape within a unified storage for weights and neuron states, is introduced, enabling a layer-level hybrid weight- and output-stationary dataflow, maximizing operand reuse and reducing costly on- and off-chip data movement during SNN execu...
Nicolas Chauvaux, Adrian Kneip, Charlotte Frenkel· 0 citations
Intentional degradation provides a simple, architecture-agnostic-by-design strategy for stabilizing residual learning in coarse-to-fine medical image refinement, validated within a single ConvLSTM-based refinement framework; extension to other architectures remains for future validation.
A reinforcement learning-based VEC task scheduling approach that integrates a fuzzy reward mechanism with multi-agent proximal policy optimization (FRMPPO) that satisfies the real-time processing demands of perception tasks in VaaS scenarios is proposed.
The query complexity of estimating scalar summaries of zigzag bar lifetimes from snapshot-adjacency bits is studied, finding quantum estimators are optimal in two regimes.
We develop a manifestly gauge and Lorentz invariant perturbative calculus to study the finite time and distance evolution of the electrically charged states created by Wilson-line-dressed scalar field operators in scalar quantum electrodynamics. By an Osterwalder-Schrader reflection and Euclidean gluing, the overlap of...
The tree-to-cycle transition scale is introduced, a single number given by the radius of the thickest edge outside the maximum spanning tree, which is interpreted as the highest cost a network accepts for redundancy and suggests a route to comparing observed networks by the trade-off they realize.
This paper provides a streamlined overview of Edge AI’s technological foundations highlighting how they enable low‑latency, privacy‑preserving, and context‑aware intelligence on resource‑constrained devices.
T. Muciaccia, Pietro Tedeschi· Business Technology & In...· 0 citations
Machine vision enables artificial intelligence and edge computing, yet its efficiency is hindered by energy‐intensive data transfer between sensing and processing units. Two‐dimensional (2D) optoelectronic neuromorphic devices provide an appealing route toward in‐sensor vision, but existing approaches typically rel...
Structural connectivity partially mediates the seizure-survival association, suggesting preserved network architecture may contribute to why seizure patients survive longer, though the majority of the effect operates through other pathways.
Daniel J. Zhou, Marc Jaskir, J. Gal et al.· medRxiv· 0 citations
A product-form queueing-network (PFQN) model with an approximation to capture the computation and communication dynamics of tree-structured task execution in a multi-tier MEC system is developed and results show that the proposed PFQN approximation provides accurate delay estimates.
We study random planar quadrangulations in which each block -- i.e., each simple (without multiple edges) component -- is assigned a weight $u$. We derive an explicit expression for the distance-dependent two-point function, defined as the generating function of such block-weighted maps with two marked edges at a fixed...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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