Friday, March 21, 2025

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Powering the food industry...

There has never been a more pressing time for food producers to...

When you might start...

Last Wednesday, Google made a somewhat surprising announcement. It launched a version...

Is Google playing catchup...

This story originally appeared in The Debrief with Mat Honan, a weekly newsletter...

Gemini Robotics uses Google’s...

Google DeepMind has released a new model, Gemini Robotics, that combines its...
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Dataset and Network Introspection ToolKit (DNIKit)



We introduce the Data and Network Introspection toolkit DNIKit, an open source Python framework for analyzing machine learning models and datasets. DNIKit contains a collection of algorithms that all operate on intermediate network responses, providing a unique understanding of how the network perceives data throughout the different stages of computation.
With DNIKit, you can:

create a comprehensive dataset analysis report
find dataset samples that are near duplicates of each other
discover rare data samples, annotation errors, or model biases
compress networks by removing highly correlated…



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M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference

Residual transformations enhance the representational depth and expressive power of large language models (LLMs). However, applying static residual transformations across all tokens in auto-regressive generation leads to a suboptimal trade-off between inference efficiency and generation fidelity. Existing methods,...

Does Spatial Cognition Emerge in Frontier Models?

Not yet. We present SPACE, a benchmark that systematically evaluates spatial cognition in frontier models. Our benchmark builds on decades of research in cognitive science. It evaluates large-scale mapping abilities that are brought to bear when an organism...

SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions

In this work, we present and evaluate SELMA, a Speech-Enabled Language Model for virtual Assistant interactions that integrates audio and text as inputs to a Large Language Model (LLM). SELMA is designed to handle three primary and two...