AI language models have been used by scientists to create new tools for analyzing speech patterns in patients with schizophrenia, allowing them to identify subtle signatures.

Researchers from the University of Manchester have introduced MentalLLaMA, the first open-source series of large language models (LLMs) for interpretable mental health analysis. These models, including MentalLLaMA-chat-13B, outperform state-of-the-art techniques in terms of predictive accuracy and the quality of generated explanations. The researchers also created the Interpretable Mental Health Instruction (IMHI) dataset, which serves as…

Undersampling techniques are used to address class imbalance in data. There are two main categories of undersampling: controlled and uncontrolled. Controlled techniques involve selecting a specific number of samples, while uncontrolled techniques remove points that meet certain conditions. Some examples of controlled and uncontrolled undersampling methods include random undersampling, k-means undersampling, Tomek Links undersampling, and…

The text discusses the problem of class imbalance in machine learning and explores the use of resampling methods, specifically random oversampling, to solve it. It explains the concept of class imbalance, the impact it has on learning algorithms, and proposes solutions such as weighting the smaller sums or resampling the data. The algorithm for random…

Adobe has introduced new AI image editing tools for Creative Cloud, including the Firefly Image 2 Model that can create more realistic images with added details. They have also integrated AI into Adobe Illustrator and Express, enabling users to create high-quality vector graphics and manipulate objects in photos. One highlight is Project Stardust, which allows…

A study predicts that the energy consumption of the AI industry could match that of the Netherlands by 2027. However, if AI growth slows, its environmental impact may be less severe. The study’s projections consider factors like current AI growth rate and chip availability. The findings are considered speculative, but evidence from Microsoft suggests significant…

Large Language Models (LLMs) like ChatGPT have gained popularity for their human-imitating capabilities in tasks like question answering, text summarization, and language translation. However, the extent to which these models truly understand the underlying data-generating process has been questioned. Recent research from MIT has found that LLMs learn structured representations of space and time, indicating…

Researchers from MIT have developed a guardian system that improves the safety and performance of autonomous aircraft. The system uses visual attention to monitor both the pilot and itself during flight, and intervenes if attention discrepancies exceed predefined thresholds. In simulated scenarios, the collision rate dropped from 46% without the guardian system to just 23%…

Amazon SageMaker Canvas is a service that allows business analysts and citizen data scientists to use pre-built machine learning models or build their own without writing code. It supports various use cases such as sentiment analysis, document processing, and demand forecasting. The service now includes foundation models, which can generate and summarize content using generative…

Large language models (LLMs) like ChatGPT have made significant advancements in generative AI, but they still struggle with generating inaccurate information. To address this, a benchmark called FELM has been created to evaluate factuality in LLM outputs. The study focuses on factuality assessment across diverse domains and uses fine-grained annotations to identify and categorize errors.…