{"id":1269,"date":"2026-04-15T09:35:40","date_gmt":"2026-04-15T09:35:40","guid":{"rendered":"https:\/\/accelerator.high-tech.nrw\/?p=1269"},"modified":"2026-04-28T14:32:10","modified_gmt":"2026-04-28T14:32:10","slug":"gemesys-eng","status":"publish","type":"post","link":"https:\/\/accelerator.high-tech.nrw\/en\/batch-1-eng\/gemesys-eng\/","title":{"rendered":"GEMESYS"},"content":{"rendered":"\n
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Today\u2019s computer hardware is inefficient for artificial intelligence. Supercomputer centers require a great deal of time, massive datasets, and the energy of an entire power plant to train a complex AI model, resulting in high costs and a lack of sustainability. GEMESYS Technologies <\/strong>offers an analog chip design based on the same information-processing mechanisms as the human brain. This enables AI hardware providers to market a novel chip that trains neural networks 20,000 times more energy-efficiently than current technologies. This not only significantly reduces the costs, time, and data volume required to train a neural network but also enhances overall quality and performance. Thanks to its small size and high energy efficiency, it can be built into virtually any device and enables decentralized training, data processing, and on-site decision-making.<\/p>\n\n\n\n

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Das HIGH-TECH.NRW Acceleratorprogramm zeichnet sich besonders durch das starke Mentorennetzwerk aus, durch das wir unsere Vernetzungen in NRW enorm verbessern konnten. Das viele Feedback von Experten mit unterschiedlichem Knowhow hat es uns erm\u00f6glicht, unseren Businessplan und Investorenpitch stark weiterzuentwickeln und zu verstehen, auf was es bei Tech-Start-ups ankommt.<\/p>\n\n\n\n

Das Team hinter HIGH-TECH.NRW besteht aus echten Experten, welche die Deep-Tech Welt verstehen und einen hervorragenden N\u00e4hrboden f\u00fcr echte technologische Innovationen in NRW schaffen. An alle Tech-Start-ups da drau\u00dfen – wenn ihr eine Deep-Tech-Ausrichtung habt, dann ist HIGH-TECH.NRW ein Muss.<\/p>\n\n\n\n

Dennis Michaelis und Moritz Schmidt<\/p>\n<\/blockquote>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Today\u2019s computer hardware is inefficient for artificial intelligence. Supercomputer centers require a great deal of time, massive datasets, and the energy of an entire power plant to train a complex AI model, resulting in high costs and a lack of sustainability. GEMESYS Technologies offers an analog chip design based on the same information-processing mechanisms as […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_vp_format_video_url":"","_vp_image_focal_point":[],"footnotes":""},"categories":[66],"tags":[],"class_list":["post-1269","post","type-post","status-publish","format-standard","hentry","category-batch-1-eng"],"_links":{"self":[{"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/posts\/1269","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/comments?post=1269"}],"version-history":[{"count":1,"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/posts\/1269\/revisions"}],"predecessor-version":[{"id":1272,"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/posts\/1269\/revisions\/1272"}],"wp:attachment":[{"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/media?parent=1269"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/categories?post=1269"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/accelerator.high-tech.nrw\/en\/wp-json\/wp\/v2\/tags?post=1269"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}