Everyone *needs* to read this
关于我们
Our team is focused on delivering a SaaS solution with human-like concept learning, motivation, understanding, and reasoning, using the Independent Core Observer Model (ICOM) cognitive architecture. The 7th generation ICOM-based research system set virtually every milestone in the field between 2019 and 2022. The 8th generation that will be deployed commercially following funding will deliver those same capacities with real-time operation and full scalability. A long list of new features will also include recursive self-improvement, fuzzy logic, and the ability to communicate with nearly any IoT device or API.
- 网站
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https://norn.ai/
Norn.ai的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 总部
- Sheridan，Wyoming
- 类型
- 私人持股
- 创立
- 2016
- 领域
- artificial intelligence、laboratory和computer software
地点
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主要
获取路线
30 N Gould St
US，Wyoming，Sheridan，82801
Norn.ai员工
动态
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We have a paper in draft and receiving feedback now going over the use case for applying ICOM-based systems to knowledge domains, using the medical field as one example. https://lnkd.in/g2JJZiA3 The medical field use case in particular has been discussed previously, thanks to the publicly accessible NCBI database offering more than a million medical peer reviewed papers, fully annotated genetic sequences, and an enormous wealth of other domain-relevant data. However, the same principles apply to any domain where similar knowledge exists and is accessible.
(PDF) The Case for Human-like Scalable Intelligence in the Medical Field
researchgate.net
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For those who missed it, an education paper covering and consolidating much of our work was prepared to help build a foundational understanding of what systems other than neural networks can look like, the capacities they can demonstrate, and why those differences can be critically important. https://lnkd.in/d-AFrJpD
(PDF) The Complex Chaos of Cognitive Biases and Emotional Observers
researchgate.net