24 papers · ranked by Valyu relevance
José Luis Álvarez, Juan Daniel Mozo, Eladio Durán, Paolo Visconti + 1 more
'Antonio Guerrieri'] Development boards, Single-Board Computers (SBCs) and Single-Board Microcontrollers (SBMs) integrating sensors and communication technologies have become a very popular and interesting solution in the last decade. They are of interest for their simplicity, versatility, adaptability, ease of use and…
Authors not listed
Open platform (OP) ultrasound systems are aimed primarily at the research community. They have been at the forefront of the development of synthetic aperture, plane wave, shear wave elastography, and vector flow imaging. Such platforms are driven by a need for broad flexibility of parameters that are normally preset or…
Stefan Wallentowitz, Philipp Wagner, Michael Tempelmeier, Thomas Wild + 1 more
'Thomas Wild' 'Andreas Herkersdorf'] Manycore System-on-Chip include an increasing amount of processing elements and have become an important research topic for improvements of both hardware and software. While research can be conducted using system simulators, prototyping requires a variety of components and is very…
Duc Minh Pham, Syed Mahfuzul Aziz, Domenico Balsamo, Rishad Shafik
In recent years, significant research and development efforts have been made to transform the Internet of Things (IoT) from a futuristic vision to reality. The IoT is expected to deliver huge economic benefits through improved infrastructure and productivity in almost all sectors. At the core of the IoT are the…
Joost Hoozemans, Jeroen van Straten, Timo Viitanen, Aleksi Tervo + 2 more
'Jiri Kadlec' 'Zaid Al-Ars'] The proliferation of processing hardware alternatives allows developers to use various customized computing platforms to run their applications in an optimal way. However, porting application code on custom hardware requires a lot of development and porting effort. This paper describes a…
Borja Martinez, Xavier Vilajosana, Il Han Kim, Jianwei Zhou + 6 more
In this article we present the Intelligent Industrial Internet (I3) Mote, an open hardware platform targeting industrial connectivity and sensing deployments. The I3Mote features the most advanced low-power components to tackle sensing, on-board computing and wireless/wired connectivity for demanding industrial…
Romolo Marotta, Francesco Quaglia
The current trend of technology has brought parallel machines equipped with multiple processors and multiple memory sockets to be available o-the-shelf—or via renting through Iaas Clouds—at reasonable costs. This has opened the possibility of natively supporting HPC in diused realities, like industry or academic labs.…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Luca Valente, Yvan Tortorella, M. Sinigaglia, Giuseppe Tagliavini + 3 more
'Alessandro Capotondi' 'Luca Benini' 'Davide Rossi'] Abstract—IoT applications span a wide range in performance and memory footprint, under tight cost and power constraints. High-end applications rely on power-hungry Systems-on-Chip (SoCs) featuring powerful processors, large LPDDR/DDR3/4/5 memories, and supporting…
A. Paul, E. R. Safai, L. E. de Heus, A.R. Vollertsen + 7 more
Organ-on-Chips (OoC) have the potential to revolutionize drug testing. However, the fragmented ecosystem of available OoC systems leads to wasted resources and collaboration barriers, slowing uptake. To address this, there is a need for OoC platforms based on interoperability standards, modularity, and…
Leon Bonde Larsen, Rasmus Karnøe Stagsted, Beck Strohmer, Anders Lyhne Christensen
Neuromorphic computing currently relies heavily on complicated hardware design to implement asynchronous, parallel and very large-scale brain simulations. This dependency slows down the migration of biological insights into technology. It typically takes several years from idea to finished hardware and once developed…
Karol Szymula, Michael S. Magaraci, Michael Patterson, Andrew Clark + 2 more
Microplate readers are foundational instruments in experimental biology and bioengineering that enable multiplexed spectrophotometric measurements. To enhance their accessibility, we here report the design, construction, validation, and benchmarking of an open-source microplate reader. The system features full-spectrum…
Ivan Kondratyev, Weinan Sun
AI coding assistants excel at software tasks but lack structured access to laboratory hardware, the physical instruments that define experimental science. We present Ataraxis, an open-source framework that provides hardware control capabilities spanning camera acquisition, microcontroller communication, precision…
Hugo Andrade, Ola Benderius, Christian Berger, Ivica Crnković + 1 more
'Jan Bosch'] Heterogeneous computing is one of the most important computational solutions to meet rapidly increasing demands on system performance. It typically allows the main flow of applications to be executed on a CPU while the most computationally intensive tasks are assigned to one or more accelerators, such as…
Hugo Andrade, Ivica Crnković, Jan Bosch
—The most important way to achieve higher performance in computer systems is through heterogeneous computing, i.e., by adopting hardware platforms containing more than one type of processor, such as CPUs, GPUs, and FPGAs. Several types of algorithms can be executed significantly faster on a heterogeneous platform.…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Thibaut Vandervelden, Ruben De Smet, Diana Deac, Kris Steenhaut + 3 more
Embedded Operating Systems (OSs) are often developed in the C programming language. Developers justify this choice by the performance that can be achieved, the low memory footprint, and the ease of mapping hardware to software, as well as the strong adoption by industry of this programming language. The downside is…
Blazej Adamczyk, Andrzej Chydzinski, Ian McLoughlin
Virtual Machine Monitors (VMM) have become popular in different application areas. Some applications may require to generate the timer events with high resolution and precision. This however may be challenging due to the complexity of VMMs. In this paper we focus on the timer functionality provided by five different…
A. Brea Guerrero, M. Oijala, S. C. Moseley, T. Tang + 6 more
Spatial cognition research requires behavioral paradigms that can distinguish between different navigational elements, such as allocentric (map-like) navigation and egocentric (e.g., body centered) navigation. To fill this need, we developed a flexible experimental platform that can be quickly modified without the need…
Authors not listed
The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant…
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This paper details a 3D-printed plate handler designed to address the limitation of automated plate manipulation within the Opentrons OT-2 liquid handling robot. The hardware enables precise, automated labware transfer, expanding the OT-2’s capabilities for complex biological and chemical assays. Technically, it…
Marco Savioli, Paolo Calligari, Ugo Locatelli, Gianfranco Bocchinfuso
We introduce GROMODEX, a novel tool designed to optimise GROMACS molecular dynamics (MD) simulations using a structured Design of Experiments (DoE) approach. GROMACS, though efficient, requires extensive tuning of parameters to perform optimally on different hardware and molecular systems. Manual tuning is tedious and…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Peter Kraus, Edan Bainglass, Francisco F. Ramirez, Enea Svaluto-Ferro + 7 more
Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by a full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its use in a case study of automated battery cycling. We…