The UK's top intelligence agency warns that malicious cyberactivity will increase with the incorporation of AI, with ransomware being the biggest threat. AI will lower barriers to entry, allowing both novices and experienced threat actors to exploit vulnerabilities and bypass security defenses more efficiently.
This article explores monocular depth estimation (MDE) and its importance in computer vision applications. It provides a walkthrough on loading and visualizing depth map data, running inference with Marigold and DPT, and evaluating depth predictions using the SUN RGB-D dataset.
The article discusses the singular value decomposition (SVD) algorithm and the author's process of refactoring the Jacobi algorithm from the GNU Scientific Library to Python/NumPy. The author validates their from-scratch SVD function using the np.linalg.svd() function and highlights the usefulness of SVD in classical statistics and machine learning.
Generative AI solutions are transforming businesses, but they can produce factual inaccuracies. A Retrieval Augmented Generation (RAG) pipeline, using an AI-native technology stack, offers accurate, transparent, and secure generative AI applications by providing additional information from an external knowledge source.
Data science enthusiast builds successful AI web app serving thousands of users, sharing technical tips and lessons learned along the way, including using Next.js, FastAPI, and AWS Lambda for deployment, and Firebase + Stripe for user authentication and payments.
Google has announced Lumiere, an advanced text-to-animal AI video generator capable of creating realistic videos of cute animals in various scenarios. Lumiere's unique architecture allows it to generate the entire temporal duration of a video at once, achieving global temporal consistency.
NVIDIA introduces RTX Video HDR, using AI to transform standard dynamic range video into stunning HDR on HDR10 displays. The new GeForce RTX 4070 Ti SUPER offers enhanced performance for video editing and rendering, running up to 2.5x faster with DLSS 3.
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.
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.
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.
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.
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.
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.