An exploration of the taste differences between European and American M&Ms, with European chocolate being perceived as superior. The author conducts an experiment with other Americans in Denmark to compare the two varieties.
Gemini, Google's new language model, aims to rival OpenAI's GPT-4 with its larger size and multi-modal capabilities. However, the article questions how Gemini truly compares to its competitor and highlights the need for further examination of benchmark test results.
Czech playwright Karel Čapek invented the word "robot" in 1921, but was unhappy with its evolution to denote mechanical entities. In a newly translated article, Čapek expresses frustration with how his original vision for robots was being subverted, arguing that they should be based on science, not technology.
Amazon Textract is a ML service that extracts text and data from scanned documents with high accuracy, automating document processing for various purposes. It offers a solution for streamlining the verification of vaccination status, providing precise information from vaccination cards through Amazon Textract Queries.
This article explores the use of diffusion technology in creating groundbreaking AI tools for artists and producers. It delves into the distinction between AI-generated music and human originality, shedding light on the technical aspects without requiring an engineering background.
Optimize your data science workflow by automating matplotlib output with 1 line of code using the teeplot tool. teeplot simplifies work with data visualizations, handles output management, and saves plots with meaningful filenames.
This article explores the hot topic of LLM hallucination in AI research, highlighting the significant repercussions of mistakes or lies produced by large language models. It discusses metrics for detecting and measuring hallucinations in question-answering workflows, with 90% accuracy for closed-domain and 70% accuracy for open-domain question-answering.
Spectral clustering, a complex form of machine learning, transforms data into a reduced-dimension form and applies k-means clustering. Implementing spectral clustering from scratch in Python was a challenge, but the results were identical to the scikit-learn module, with the most difficult part being computing eigenvalues and eigenvectors of the normalized Laplacian matrix.
A neural network with one hidden layer using ReLU activation can represent any continuous nonlinear functions, making it a powerful function approximator. The network can approximate Continuous PieceWise Linear (CPWL) and Continuous Curve (CC) functions by adding new ReLU functions at transition points to increase or decrease the slope.
The rise of tools like AutoAI may diminish the importance of traditional machine learning skills, but a deep understanding of the underlying principles of ML will still be in demand. This article delves into the mathematical foundations of Recurrent Neural Networks (RNNs) and explores their use in capturing sequential patterns in time series data.
The article explores the use of lightweight hierarchical vision transformers in autonomous robotics, highlighting the effectiveness of a shared trunk concept for multi-task learning. It also discusses the emergence of large multimodal models and their potential to create a unified architecture for end-to-end autonomous driving solutions.
Recent advancements in artificial intelligence have enabled models to mimic human-like capabilities in handling images and text, but the lack of explainability poses risks and limits adoption. Critical domains like healthcare and finance heavily rely on tabular data, emphasizing the need for transparent decision-making models.
This article demonstrates how neural architecture search can be used to compress a fine-tuned BERT model, improving performance and reducing inference times. By applying structural pruning, the size and complexity of the model can be reduced, resulting in faster response times and improved resource efficiency.
Mark Swinnerton aims to repurpose abandoned mines into storage tanks of renewable energy, using a mechanical system that stores potential energy from solar and wind sources. Swinnerton's startup, Green Gravity, is simulating the concept in NVIDIA Omniverse and has attracted interest from officials in Australia, India, and the US.
Meta CEO Mark Zuckerberg announced that the company is working on building "general intelligence" for AI assistants and plans to open source it responsibly, bringing together research groups FAIR and GenAI. While not explicitly mentioning "artificial general intelligence" (AGI), Zuckerberg's statement hints at Meta's direction, which could have significant implications for humanity and job mark...