Qualcomm and Palantir work to increase AI and ontology capabilities to the Edge

Qualcomm and Palantir work to increase AI and ontology capabilities to the Edge


At Palantir AIPCon, Qualcomm Applied sciences, Inc., a contributor in wi-fi and edge computing applied sciences, and Palantir Applied sciences Inc., a builder of synthetic intelligence (AI) methods, has introduced a collaboration to run Palantir’s Ontology and AI capabilities on Qualcomm Applied sciences’ cutting-edge {hardware} and software program platforms. This collaboration goals to increase AI capabilities to the sting to harness real-time insights and make data-driven choices with unprecedented velocity and accuracy, even in offline distant environments. By combining Qualcomm Applied sciences’ AI-powered edge processors and linked software program with Palantir’s superior AI platform, ODMs, OEMs and enterprise clients will be capable of construct and deploy scalable AI options for a wide range of sectors, starting with manufacturing, industrial and automotive.

“Qualcomm Applied sciences is on the forefront of enabling clever edge computing, and our collaboration with Palantir marks a pivotal second in advancing AI capabilities on the edge,” stated Nakul Duggal, the group basic supervisor of automotive, industrial and embedded Web of Issues (IoT), and cloud computing at Qualcomm Applied sciences, Inc. “By harnessing Qualcomm Applied sciences’ superior edge AI capabilities throughout a broad portfolio of units by way of our Qualcomm AI Stack and linked companies and utilizing Palantir’s Ontology enterprise choices, our clients can revolutionise how knowledge is processed and utilised. This highly effective mixture delivers transformative advantages throughout industries, enhancing real-time insights and decision-making on the edge.”

“At Palantir, we’re dedicated to pushing the boundaries of what’s doable with knowledge and AI with our software program,” stated Robert Imig, the top of USG analysis and growth at Palantir Applied sciences. “Our collaboration with Qualcomm Applied sciences is a major step to convey considered one of Palantir’s most core parts, the Ontology, to the sting. This breakthrough will allow our clients to reflect their knowledge modeling in cloud stacks with distant edge units powered by Qualcomm Applied sciences, thus enabling seamless skill to port logic and AI from the cloud to the sting, offering Palantir grade choice making for Industrial IoT use-cases. Collectively, we’re reworking how industries function, making certain that essentially the most superior software program is accessible wherever wanted.”

By means of this collaboration, Qualcomm Applied sciences and Palantir are powering the subsequent era of {hardware} and software program options by combining Palantir’s Embedded Ontology immediately with Qualcomm Dragonwing processors. This collaboration allows AI-powered purposes constructed utilizing Palantir’s OSDK and AIP to be run immediately on units powered by Dragonwing platforms for {hardware} accelerated multimedia and AI experiences, even in partially disconnected or totally air-gapped environments. Palantir Foundry Object Peering, which allows knowledge synchronisation throughout compute topologies powered by Qualcomm Applied sciences’ platforms, unlocks complete {hardware} and software program options that seize and course of knowledge on the supply, all whereas integrating with core AIP infrastructure throughout occasions of connectivity. Palantir Apollo then allows clients to handle these options on units powered by Qualcomm platforms at scale, delivering ontologies, AI fashions and third-party software program effectively throughout edge and cloud footprints. By harnessing Palantir’s superior knowledge integration and analytics and the Qualcomm Dragonwing IQ collection, clients can create units that may establish potential safety breaches and operational points early, optimise response occasions, and improve total system reliability.

For extra details about the collaboration and the way it can profit your organisation, please go to the Qualcomm or Palantir web sites.

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