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December 2022

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Edition · December 2022

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Amazon Science
KeyRank 75

reMARS revisited: Improve explainability of ML models to meet regulatory requirements

As AI regulations tighten globally, organizations need practical frameworks to ensure their ML models meet explainability requirements. Amazon's reMARS approach provides actionable guidance for compliance-ready AI deployment.

Why it ranks · · reMARS framework for ML explainability · December 2022

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The six pillarsRanked by KeyRank · this month

Frontier

33% share

Models, benchmarks, the lab race. · 3 stories

  1. 1Point-E: A system for generating 3D point clouds from complex prompts68
  2. 2Zero-shot image segmentation with CLIPSeg
  3. 3New and improved embedding model

Tools

44% share

The AI products people actually use. · 4 stories

  1. 1Cognixion gives voice to a user’s thoughts75
  2. 2AWS CodeWhisperer creates computer code from natural language
  3. 3From GPT2 to Stable Diffusion: Hugging Face arrives to the Elixir community
All 4 stories

Agents

quiet today

Autonomous systems in the wild. · 0 stories

  1. Nothing cleared the bar today.

Money

quiet today

Funding, M&A, valuations, earnings. · 0 stories

  1. Nothing cleared the bar today.

Chips

11% share

Silicon, racks, the compute buildout. · 1 story

  1. 1Faster Training and Inference: Habana Gaudi®2 vs Nvidia A100 80GB62

Work

11% share

Jobs, industries, people & policy. · 1 story

  1. 1A conversation with Kevin Scott: What’s next in AI45
Enterprise & data stackSalesforce, Databricks, Snowflake & more · this month
  1. 1
    Zero-shot image segmentation with CLIPSegSegment
    62

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