DOGE Put Him in the Treasury Department. His Company Has Federal Contracts Worth Millions
Experts say the conflicts posed by Tom Krause’s dual roles are unprecedented in the modern era.
AI unlocks the emotional language of animals
Groundbreaking study shows machine learning can decode emotions in seven ungulate species. A game-changer for animal welfare? Can artificial intelligence help us understand what animals feel? A pioneering study suggests the answer is yes. Researchers have successfully trained a machine-learning model to distinguish between positive and negative emotions in seven different ungulate species, including cows, …
Evaluating Sample Utility for Data Selection by Mimicking Model Weights
Foundation models are trained on large-scale web-crawled datasets, which often contain noise, biases, and irrelevant information. This motivates the use of data selection techniques, which can be divided into model-free variants — relying on heuristic rules and downstream datasets — and model-based, e.g., using influence functions. The former can be expensive to design and risk …
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Generate synthetic counterparty (CR) risk data with generative AI using Amazon Bedrock LLMs and RAG
Data is the lifeblood of modern applications, driving everything from application testing to machine learning (ML) model training and evaluation. As data demands continue to surge, the emergence of generative AI models presents an innovative solution. These large language models (LLMs), trained on expansive data corpora, possess the remarkable capability to generate new content across …
An SRE’s guide to optimizing ML systems with MLOps pipelines
Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know you’re doing it well, and how can you build strong systems to support these services? As artificial intelligence (AI) …
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It’s a Sign: AI Platform for Teaching American Sign Language Aims to Bridge Communication Gaps
American Sign Language is the third most prevalent language in the United States — but there are vastly fewer AI tools developed with ASL data than data representing the country’s most common languages, English and Spanish. NVIDIA, the American Society for Deaf Children and creative agency Hello Monday are helping close this gap with Signs, …
The National Institute of Standards and Technology Braces for Mass Firings
Approximately 500 NIST staffers, including at least three lab directors, are expected to lose their jobs at the standards agency as part of the ongoing DOGE purge, sources tell WIRED.
Like human brains, large language models reason about diverse data in a general way
Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.
‘Indiana Jones’ jailbreak approach highlights the vulnerabilities of existing LLMs
Large language models (LLMs), such as the model underpinning the functioning of the conversational agent ChatGPT, are becoming increasingly widespread worldwide. As many people are now turning to LLM-based platforms to source information and write context-specific texts, understanding their limitations and vulnerabilities is becoming increasingly vital.
Understanding Probability Distributions for Machine Learning with Python
In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty of information and data, applying optimization processes with stochastic settings, and performing inference processes, to name a few.