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    Among them, the Qualcomm QRB5165 solution is designed to help build consumer, enterprise or industrial robots with 5G connectivity, on-device AI and machine learning, superior computing, and intelligent sensing capabilities. By adopting Qualcomm QRB5165, ADLINK’s module will enable the proliferation of 5G in robotics and intelligent systems.

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      In the defense aviation arena, it is of paramount importance to accurately observe the environment and make fast and reliable decisions, leading to timely action. ADLINK rugged systems and Data Distribution Service (DDS) are a key part of a larger data-focused infrastructure that collects, stores, analyzes, and transfers information from the field to the decision-maker.

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      Our Rugged by Design CompactPCI/CompactPCI Serial, computer-on-modules, industrial-grade system and panel computer product portfolio has been specifically selected for onboard ATO/DMI and wayside CTC/RBC/TSRS railway solutions. ADLINK’s exceptional flexibility in design and manufacturing has been utilized by top rail signaling providers worldwide.

      Learn More

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      Autonomous Mobile Robots (AMRs) are able to carry out their jobs with zero to minimal oversight by human operators. Facilities such as schools, hospitals, shopping malls, and factories in particular can use a swarm of AMRs to improve operational efficiency and quality of life.

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      Experience the future of edge computing with our comprehensive offering, which includes the Ampere Altra-based COM-HPC module, a developer platform and/or dev kit. Dive in now to unleash superior performance, energy efficiency, and optimized TCO in applications including but not limited to industrial automation, autonomous vehicles, transportation, healthcare, video surveillance, and energy management.

      Learn More

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      Learn More

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      Learn More

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ADLINK Technology stellt echtzeitfähige Medical Computing Plattformen für KI-gestützte bildgebende Verfahren vor

  • Hochauflösende Echtzeitbildgebung in kompaktem Gehäuse
  • Volle Systemverantwortung für ganzheitlichen Kundensupport aus einer Hand
  • Leistungsstarke MXM-Grafik mit umfassender KI-Unterstützung
  • Das Featureset im Detail
<br />

Hochauflösende Echtzeitbildgebung in kompaktem Gehäuse

Das Healthcare Business Center von ADLINK Technology stellt mit seinen MLB-3000 und MLB-3002 Systemen zwei neue echtzeitfähige Medical Computing Plattformen für KI-gestützte bildgebende Verfahren vor. Die IEC 60601-1 und IEC 60601-1-2 konformen Systeme sind mit 13 Intel Core und Intel Celeron Prozessorbestückungen sowie 9 performanten NVIDIA Quadro- und RTX-Prozessor basierten Grafikkarten bis hin zur NVIDIA RTX GPUs der Ampere-Familie bedarfsrecht auslegbar. In KI-gestützten bildgebenden Verfahren kommen sie als Aufnahme-, Aufbereitungs-, Visualisierungssysteme zum Einsatz, bei denen Bilddaten zunehmend in Echtzeit analysiert und visualisiert werden(1). Anwendungsbereiche reichen von der Computertomographie (CT) und Magnetresonanztomographie (MRT) über Röntgen und Ultraschall bis hin zur Endoskopie.

Volle Systemverantwortung für ganzheitlichen Kundensupport aus einer Hand

Medizingerätehersteller, Systemintegratoren und Krankenhäuser überzeugt neben der Echtzeitfähigkeit und kompakten Bauart der höchst leistungsfähigen Systeme vor allen die volle Systemverantwortung, die ADLINK Technology für die mindestens 5 Jahre langzeitverfügbaren Systeme bietet. Sowohl die Prozessorboards als auch die Grafikkarten kommen aus eigener Entwicklung und Fertigung, sodass der Kundensupport für alle Komponenten aus einer Hand kommt.

Bildgebende Verfahren erhalten einen zunehmend hohen Detailierungsgrad

Matthias Lubkowitz, Leiter des Healthcare Business Center EMEA bei ADLINK Technology in Deggendorf

„Bildgebende Verfahren erhalten einen zunehmend hohen Detailierungsgrad. 2D-Schichtmodelle und 3D-Visualisierungen erhöhen den Performancebedarf und die Integration von Künstlicher Intelligenz erweitert die Anforderungen an die bildverarbeitenden Systeme nochmals deutlich. Gleichzeitig wird gefordert, die Bildgebung in Echtzeit bereitstellen zu können. Auf der anderen Seite muss die Systemauslegung hinsichtlich der Kosten und des Energieverbrauchs ausbalanciert werden. Mit unserer MLB-300x Serie geben wir Medizingeräteherstellern, Systemintegratoren und Krankenhäusern einen Systembaukasten an die Hand, mit dem sie ihre bildgebenden Aufgaben optimal auslegen können,“

Leistungsstarke MXM-Grafik mit umfassender KI-Unterstützung

In bildgebenden Verfahren der Medizintechnik überzeugen die neuen MLB-300x Systeme vor allem durch ihre flexible GPU-Bestückung, die mittels MXM-Steckplatz realisiert wird. Standardbestückungen mit MXM-Grafikmodulen sind mit NVIDIA Quadro Grafikcores der Generationen Pascal™, Turing™ und Ampere™ verfügbar. Die MLB-3002-Systeme verfügen darüber hinaus über zwei zusätzliche PCI-Express-Slots für dedizierte Framegrabber- oder weitere Grafikkarten.

Bei MXM-Modulen auf Basis der Ampere™ und Turing™-Architektur basiert das Raytracing, das für die volumetrische 3D-Bildgebung entscheidend ist, erstmals auf Hardware-Beschleunigern, den so genannten RT Cores. Das Rendering von Bilddaten wird so erstmals in Echtzeit möglich. Die integrierten Tensor Cores beschleunigen zudem die Matrixberechnungen, die das Herzstück des Trainings neuronaler Netze und der Inferenzoperationen im Rahmen des Deep Learning bilden und die Entfernung von Artefakten, die Kontrastanpassung und die Schärfeverbesserung für klarere medizinische Bilder ermöglichen.

Das Featureset im Detail

Die neuen IEC 60601-1 und IEC 60601-1-2 konformen MLB-300x Medical Computing Plattformen sind mit 11 verschiedenen Intel Core Prozessoren bis hin zum Intel Core i7-9700E mit 8 Rechenkernen erhältlich. Für kostensensitive Applikationen stehen zudem zwei Konfigurationen mit Intel Celeron Prozessoren zur Verfügung. Alle Systeme unterstützen bis zu 64 GByte DDR4 2666 Arbeitsspeicher. Für bildgebende Verfahren mit GPU-beschleunigter künstlicher Intelligenz können sie bedarfsgerecht mit 9 unterschiedlichen MXM-Grafikmodulen bestückt werden. Aktuelles Flaggschiff ist das MXM-Modul mit echtzeitfähiger NVIDIA RTX A4500 GPU der Ampere-Familie. Sie bietet 5120 CUDA-, 160 Tensor- und 40 RT-Tensor-Cores und erreicht einer Performance von bis 17,8 TFLOPS FP32.

Alle MLB-300x Systeme unterstützen zudem bis zu 6 unabhängige Displays für zahlreiche Visualisierungsoptionen bei der Befundung und in OPs. Die MLB-3002 Systeme können über zwei PCIe x4 Slots um zusätzliche Framegrabber- oder Grafikkarten erweitert werden. Weitere Peripherie lässt sich über bis zu 6x USB 3.2 Gen x1, 2x USB 2.0, 1x RS-232/422/485, 1x RS-232 sowie 4x optionale digitale I/Os anbinden. 3x Gigabit Ethernet und optionales WLAN sorgen für zahlreiche Edge-Vernetzungsoptionen der KI-Systeme auch in Richtung klinischer PACS, Befundungs-Clouds und weiteren Medical-IoT-Applikationen. Für die Stromversorgung stehen Kunden medizinische Netzteile mit bis zu 220 Watt oder konventionelle Lösungen bis zu 500 Watt zur Verfügung.

  • MLB-3002

    Medical computer equipped with MXM graphics module supporting NVIDIA Quadro® GPU with 8th/9th Generation Intel® Core™ i7/i5/i3 in LGA1151 Socket. Compliant with IEC 60601-1/IEC 60601-1-2. Learn more

    MLB-3000

    Medical computer equipped with MXM graphics module supporting NVIDIA Quadro® GPU with 8th/9th Generation Intel® Core™ i7/i5/i3 in LGA1151 Socket. Compliant with IEC 60601-1/IEC 60601-1-2. Learn more

Weitere Informationen zu den neuen echtzeitfähigen Medical Computing Plattformen für KI-gestützte bildgebende Verfahren finden Sie unter
https://www.adlinktech.com/en/medical-box-pc.

(1) Die Bilddatenvorverarbeitung und KI-Analytik benötigt rund 50ms bis zur Visualisierung. Voraussetzung ist eine für die Bildgebungsaufgabe passende Hardwarekonfiguration.

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