Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning

KOSMOS-G is an AI model developed by researchers at Microsoft Research, New York University, and the University of Waterloo. It can generate detailed images from text descriptions and multiple pictures. It uses a combination of pre-training…

The article discusses the advancements in text-to-image generation using computer vision and generative modeling. It highlights the principles and features of a new model called Kandinsky, which combines latent diffusion techniques with image prior models. Kandinsky…

Dutch scientists have developed a deep learning tool called Sturgeon, which aids brain surgeons in classifying tumor types and subtypes during surgery. By examining specific segments of a tumor’s DNA, the AI tool provides rapid insights…

Google’s Discord chat for its AI chatbot Bard is used by engineers, product managers, and designers to evaluate its performance. Internal discussions revealed skepticism about Bard’s effectiveness compared to other AI chatbots. Complaints have arisen about…

The Julia programming language implements a unique paradigm called Multiple Dispatch, which is particularly effective for data science. An important technique in Julia is abstraction, which allows for flexibility when working with different types of data.…

This text explains the concept of Intersection over Union (IoU) in object detection models. IoU measures the accuracy of the object detector by evaluating the overlap between the detection box and the ground truth box. The…

The article discusses a novel AI framework developed by researchers to transform still portrait photos into cinemagraphs by animating hair wisps. The framework eliminates the need for complex hardware setups and user intervention. The researchers frame…

The article discusses different ways that data science teams can create value for organizations. It highlights four categories: metrics and measurement, AI/ML product or product features, strategic insights, and operational decision products. Understanding which category your…

ASEAN countries are opting for a less rigid and business-friendly approach to AI regulation, in contrast to the EU’s AI Act. The Association of Southeast Asian Nations is set to publish guidelines for AI ethics and…

The rapid adoption of OpenAI’s ChatGPT, a revolutionary AI innovation by Google Cloud, has raised concerns about its increasing energy consumption. A peer-reviewed analysis predicts that by 2027, AI servers could consume between 85 to 134…

Mistral Trismegistus-7B is a Google AI language model trained on a vast dataset of literature and code, including esoteric and occult material. It can generate literature, translate languages, and provide insightful answers to questions on esoteric…

This research paper introduces a novel deep learning model to address the challenge of understanding alternative splicing in genes. The model combines sequence information, structural features, and wobble pair indicators to accurately predict splicing outcomes. Its…

Google’s Project Green Light utilizes artificial intelligence (AI) to optimize traffic light patterns and reduce greenhouse emissions. By analyzing driving pattern data from Google Maps, the project builds an AI model for each intersection, enabling traffic…

Stanford University researchers have introduced MLAgentBench, the first benchmark of its kind, to evaluate AI research agents with free-form decision-making capabilities. The framework allows agents to execute research tasks similar to human researchers, collecting data on…

GPT-4 was tested in various experiments to solve math problems in 16 different languages.

Neural Radiance Fields (NeRF) is a neural network-based technique for capturing 3D scenes and objects from 2D images or sparse 3D data. It consists of two main components, “NeRF in” and “NeRF out” network. NeRF-based human…

Learn how to master SVM, a versatile model that every data scientist should have in their toolbox. Get a hands-on introduction to SVM in this informative article on Towards Data Science.

The text discusses the introduction of a new interpretable model by Meta AI, with further information available in the article on Towards Data Science.

Researchers have developed an open-source library in JAX for deep learning on spherical surfaces. This new approach, utilizing spherical convolution and cross-correlation operations, shows promise in addressing challenges related to predicting chemical properties and understanding climate…