Abstract: Wireless sensor networks are the combination of enormous number of tiny devices of low price and small size. These Tiny devices are used to recognize the event, gather the data and forward ...
Completed under supervision of Professor Levin during the Spring 2025 Semester at The Cooper Union. This program implements a simple Python-based network simulator where nodes (uniquely identified by ...
Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...
Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...
New tool identifies best-available landing spots during engine failure.
Abstract: This paper proposes a weighted distance-time algorithm to address the problem of reliably and efficiently allocating large-scale tasks with time window constraints in multi-robot systems.
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Under the hood, multiphysics software based on the finite-element (FE) method mathematically models complex engineering and scientific problems in inductive heating, heat transfer, and ...
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
A self-driving car moves through traffic one moment at a time. A bus blocks part of the road. Rain throws reflections across ...
The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...