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Unifying Neural Network Design with Category Theory: A Comprehensive Framework for Deep Learning Architecture

Marktechpost

The researchers from Symbolic AI, the University of Edinburgh, Google DeepMind, and the University of Cambridge introduce a theoretical framework that unites the specification of constraints with their implementations through monads valued in a 2-category of parametric maps. Check out the Paper.

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Meet GO To Any Thing (GOAT): A Universal Navigation System that can Find Any Object Specified in Any Way- as an Image, Language, or a Category- in Completely Unseen Environments

Marktechpost

A team of researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, Georgia Institute of Technology, University of California Berkeley, Meta AI Research, and Mistral AI has developed a universal navigation system called GO To Any Thing (GOAT). If you like our work, you will love our newsletter.

Robotics 123
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LLM2Vec: A Simple AI Approach to Transform Any Decoder-Only LLM into a Text Encoder Achieving SOTA Performance on MTEB in the Unsupervised and Supervised Category

Marktechpost

In order to overcome the drawback of decoder-only LLMs for text embedding, a team of researchers from Mila, McGill University, ServiceNow Research, and Facebook CIFAR AI Chair has proposed LLM2Vec, a straightforward, unsupervised method to convert any pre-trained decoder-only LLM into a text encoder. Million AI Audience?

LLM 98
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Researchers from ETH Zürich and Max Planck Introduce ‘HOLD’: A Groundbreaking Category-Agnostic AI Method for 3D Hand-Object Reconstruction from Monocular Videos

Marktechpost

The study tackles the complex task of reconstructing 3D objects and articulated hands from monocular video sequences without relying on pre-scanned object templates or limited training categories. Existing methods often need help with template reliance or restricted generalization capabilities. Check out the Paper, Project , and Github.

AI 93
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Stability AI unveils 12B parameter Stable LM 2 model and updated 1.6B variant

AI News

Stability AI has introduced the latest additions to its Stable LM 2 language model series: a 12 billion parameter base model and an instruction-tuned variant. It follows the established framework of Stability AI’s previously released Stable LM 2 1.6B The post Stability AI unveils 12B parameter Stable LM 2 model and updated 1.6B

Big Data 257
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The 2023 AI Hall of Fame: Honoring the Best in AI Awards

Analytics Vidhya

Introduction In an era marked by remarkable advancements in AI, the 2023 AI Awards, curated by Allie K. These awards recognize the outstanding contributions of individuals and organizations across various categories, reflecting the diverse ways AI has reshaped our world.

AI 177