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Research and engineering notes.

Research and engineering notes on uncertainty quantification, risk-aware machine learning, and trustworthy AI from the Themis AI team.

Featured · Demonstration

Trustworthy edge AI on the NXP i.MX 8M Plus: running a risk-aware vision model in full INT8 on the eIQ VX delegate

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Ultrasonic sensor module used as an input in the NXP demonstration
Events · October 27, 2026

AI That Knows When Not to Act — Live at NXP Technology Days

Themis AI is at NXP Technology Days in Detroit, October 28–29, 2026. Two live demos on NXP silicon show what a model looks like when it knows its own limits.

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Research · October 26, 2026

The Newest Decision Models Still Need a Decision Layer

We ran Liquid AI’s new d1.1 and d1-ultra and TypeSafe’s Jev 1.14 through the intent-routing tests from our last post. An open 3B model, finetuned and given the Themis Decision Layer, still came out ahead.

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Research · October 22, 2026

Decision Models Need a Decision Layer

What we found running d1-3B on intent-routing benchmarks that include requests none of the options fit, and what the Themis Decision Layer adds on top.

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Articles · September 25, 2026

Before AI Acts

Why trustworthy decision layers belong alongside model-level safety.

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Resources · August 25, 2026

Quantifying Epistemic Uncertainty with the Laplace Approximation

Your trained model already knows what it doesn't know — it's hidden in the curvature of the loss landscape. The Laplace approximation extracts it, post hoc, with no retraining.

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Resources · May 20, 2026

Spotting the Unfamiliar: Out-of-Distribution Detection with Uncertainty

Models fail most dangerously on inputs they've never seen. Epistemic uncertainty flags those out-of-distribution cases in real time — so the system can escalate, abstain, or adapt.

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Resources · April 15, 2026

Managing Risk in Production AI Systems

Why production AI needs risk measurement, not just predictions — and how to turn a model's uncertainty into enforceable risk policies.

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Guides · September 16, 2025

NIST's Risk Management Framework and Themis AI

Examining the Risk Management Framework by NIST.

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Resources · February 18, 2025

Catching LLM Hallucinations with Uncertainty

LLMs fail without warning. A separate uncertainty estimate lets a model abstain, escalate, or defer instead of confidently making things up.

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Research Example · December 3, 2024

Drug Discovery Cost Reduction with Uncertainty-Guided Predictions

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Research Example · September 5, 2024

Uncertainty-Aware Human Intervention for Autonomous Vehicles

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Research Example · June 20, 2024

Risk-Aware Selective Answering and Generative Models

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Articles · November 26, 2023

Uncertainty-Aware Language Modeling for Selective Question Answering

Presenting uncertainty-aware LLMs capable of estimating uncertainty with every prediction.

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Articles · September 13, 2023

Probability vs Confidence

Why a model’s output probability is not always a reliable guide to whether its answer is correct.

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Resources · August 25, 2023

Robust and Trustworthy Deep Learning (part 3): Themis AI

Themis AI's cutting-edge technological advancements in robust and trustworthy deep learning

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Resources · August 18, 2023

Robust and Trustworthy Deep Learning (Part 2): Uncertainty

Themis AI's cutting-edge technological advancements in robust and trustworthy deep learning

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Resources · August 11, 2023

Robust and Trustworthy Deep Learning (Part 1): Bias

Themis AI's cutting-edge technological advancements in robust and trustworthy deep learning

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Articles · July 28, 2023

Preliminary Steps Towards Risk-Aware Image Generation

Using Capsa to automatically evaluate the quality of images generated by Stable Diffusion

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