The human in the loop was supposed to be the safeguard against AI bias in hiring decisions. These studies suggest the loop itself needs a redesign.

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Xometry Inc has released its new Enterprise Machining Lead Time Prediction Model and expanded its dynamic pricing logic.

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Discover the Polar Loop: a stylish, lightweight, subscription-free activity tracker with impressive battery life and wellness metrics.

Atlanta automated transit network becomes world's first public test of Glydways' driverless pods connecting convention center ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

Florida state Rep. Adam Anderson championed the Sunshine Genetics Act, the first state-backed genetic disease screening program in the nation. Anderson's son, Drew, died in 2019 from Tay-Sachs disease ...

The increasing complexity of embedded systems within battery management necessitates robust testing methodologies that accurately reflect real-world operating conditions. Mike Sandoval, vice president ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...