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Apple Machine Learning Journal VS Blackout

Compare Apple Machine Learning Journal VS Blackout and see what are their differences

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

Blackout logo Blackout

Blackout enables the easiest, fastest, and most comprehensive redaction workflows for sensitive information managed in Relativity. Only Blackout automatically redacts native PDF, image jobs, and native Excel files.
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • Blackout Landing page
    Landing page //
    2023-09-06

Blackout's ability to redact quickly – even when managing large volumes – makes it the best choice for complex redaction tasks involving sensitive information. Reduce review time, lower costs, and create workflows that increase accuracy.

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Any Sensitive Info: PII, PHI, PCI, Account IDs, Dates, Emails, ​Phone #s, Addresses, Charts, Pivot Table Data, Embedded Objects, Notes/Comments

BENEFITS • Cut time and costs out of reviews with automated redactions • ​Rule-based redaction allows for versatile application of Blackout to any task requiring markup • Create efficiencies that drive down human error by redacting words, phrases, and text patterns simultaneously • Ensure privileged information is secure while retaining native documents

FEATURES • Seamlessly integrates into Relativity 10+ • Auto-redacts any sensitive information in imaged, native PDF, or native Excel file • Redacts information not visible in the files, including file attachments, meta data, and document notes/comments • Quality check with approval, reject and override options • Mass import/export functions via .CSV file

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Category Popularity

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AI
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Legal Vertical Software
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Developer Tools
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Legal Services
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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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Blackout mentions (0)

We have not tracked any mentions of Blackout yet. Tracking of Blackout recommendations started around Mar 2021.

What are some alternatives?

When comparing Apple Machine Learning Journal and Blackout, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

iubenda - A 360-degree solution to make your sites and apps compliant with privacy laws like the GDPR, CCPA, LGPD, ePrivacy, and more

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Clerky - We're 100% focused on helping startups get legal paperwork done safely, going far beyond simply providing forms. Get your legal paperwork done with confidence, so you can get back to building your company.

Lobe - Visual tool for building custom deep learning models

SeedLegals - SeedLegals takes care of the legals around creating, running, funding and selling startups.