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{ "patent_number": "US11948025B2", "publication_id": "US11948025B2", "title": "System and method for training neural networks with federated learning", "abstract": "A distributed training system wherein a central coordinator aggregates gradients from edge devices without exposing raw training data...", "inventors": ["Alice Chen", "Robert Mihalcea"], "assignees": ["Acme AI Corporation"], "applicants":... - Source: dev.to / about 1 month ago
Google Patents does have an export button, and for small jobs it's perfect. Run a search at patents.google.com, then look for the Download (CSV) link near the results. - Source: dev.to / about 1 month ago
From playwright.sync_api import sync_playwright Import time Def scrape_google_patents(query, max_results=20): patents = [] with sync_playwright() as pw: browser = pw.chromium.launch(headless=True) page = browser.new_page() search_url = f"https://patents.google.com/?q={query}&oq={query}" page.goto(search_url, wait_until="networkidle") time.sleep(3) results =... - Source: dev.to / 3 months ago
This lists many transistor patents from oldest to newest. https://patents.google.com/?q=(H03F3%2f16)&sort=old The Matare/Welker Patent is missing though https://patents.google.com/patent/US2673948A/en.541 The entire debate is tiring. It would be better if these reviews were written by people who have actual experience in semiconductor physics. Is there any report of a reproduction of the device proposed by... - Source: Hacker News / 6 months ago
Patent Databases: Use databases like the USPTO (https://www.uspto.gov/), Espacenet (https://worldwide.espacenet.com/), and Google Patents (https://patents.google.com/) to search patents by classifications, keywords, and publication dates. These databases are the backbone of a thorough search. - Source: dev.to / about 1 year ago
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