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59 results for “Machine intelligence”
Figure 5 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 5. Responses to the jumping spider, high detail text prompt by the NightCafe Stable Diffusion engine (#3).
Figure 32 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 32. Responses to the jumping spider walking on vegetation text prompt by the Deep Dream Generator engine (#11).
Figure 17 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 17. Responses to the jumping spider, high detail text prompt by the Starryai Argo 2 engine (#8).
Figure 21 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 21. Responses to the jumping spider, high detail text prompt by the OpenAI DALL-E 2 engine (#10).
Figure 28 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 28. Responses to the salticid, high detail text prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 31 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 31. Responses to the jumping spider walking on vegetation text prompt by the Deep Dream Generator engine (#11). One limitation of this and similar diffusion engines lies in their inability to consistently count serial objects (e.g., eyes in a row), but they are very good at creatively combining different text inputs to produce surrealistic images.
Figure 27 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 27. Responses to the Phidippus jumping spider, high detail prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 29 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 29. Responses to the Salticidae, high detail text prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 7 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 7. Responses to the jumping spider, high detail text prompt by the Stable Diffusion Playground engine (#4).
Figure 13 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 13. Responses to the jumping spider, high detail text prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 16 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 16. Responses to the jumping spider, high detail text prompt by the Replicate Stable Diffusion engine (#7).
Figure 22 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 22. Responses to the jumping spider, high detail text prompt by the OpenAI DALL-E 2 engine (#10).
Clinical Performance Evaluation of the Artificial Intelligence (AI)/ Machine Learning (ML) Technologies Utilized by the Origin Medical EXAM ASSISTANT
ClinicalTrials.gov study NCT06952439. IPD Sharing: NO. Countries: 1. Publications: 15.
Dataset for "The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub"
<p>Supplementary data to "The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub" accepted for publication at MSR 2020.</p> <p>The data included in this package were used to conduct analyses to characterize the AI & ML software development community hosted on GitHub. Please read the paper for a full understanding of what data was collected and how it was used.</p> <p>Questions and comments can be directed to Danielle Gonzalez dng2551@rit.edu</p>
Machine intelligence in mechanical and aerospace sciences: Today & beyond
<p>In this lecture, the application of AI / ML and the upcoming trends are discussed, particularly in reference to mechanical and aerospace industries. AI and ML have been topics of huge interest in recent times. Machine learning techniques are being applied vastly to understand the uncertainties in the models - both solid and fluid mechanics. During the lecture, we will discuss on how artificial intelligence is being used in the aerospace industry.</p>
Figure 9 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 9. Responses to the jumping spider, high detail text prompt by the Canva engine (#5).
Figure 10 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 10. Responses to the jumping spider, high detail text prompt by the Canva engine (#5).
Figure 20 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 20. Responses to the jumping spider, high detail text prompt by the Simplified engine (#9).
Development of an Intelligent POWER Rehabilitation Cluster Machine and Its Clinical Testing and Assessment
ClinicalTrials.gov study NCT02685839. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Preventing Medication Dispensing Errors in Pharmacy Practice with Interpretable Machine Intelligence: Wave 2
ClinicalTrials.gov study NCT06795477. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.