Daphne O. Martschenko and Sam Trejo both want to make the world a better, fairer, more equitable place. But they disagree on ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Optimizing Your LinkedIn Profile for Element Materials Technology So, you’re looking to make a splash at Element ...

Google finds nation-state hackers abusing Gemini AI for target profiling, phishing kits, malware staging, and model ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Abstract: Test-time adaptation (TTA) seeks to tackle potential distribution shifts between training and testing data by adapting a given model w.r.t. any testing sample. This task is particularly ...

SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop AI-enabled tools that improve your customer experience.' From the laptops on ...

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 ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...

In 2026, the U.S. Space Force wants to pass several development milestones for its Operational Test and Training Infrastructure (OTTI) program as its leaders increasingly call for the need to prepare ...