​ Researchers conducted theoretical calculations and experiments to optimize Martian meteorites for the oxygen evolution reaction (OER). Neural network (NN) models are developed to predict catalytic properties based on metal composition. Employing Bayesian optimization, the research identifies the optimal metal composition yielding the highest catalytic… Read More »Revolutionizing Martian Colonization: An AI Robotic Chemist’s Breakthrough in Autonomous Catalyst Synthesis for Oxygen Production Sana Hassan Artificial Intelligence Category – MarkTechPost

​ A key component of many creative projects is the capacity of the created visual content to remain consistent across different situations, as seen in Figure 1. These include drawing book illustrations, building brands, making comics, presentations, websites, and more. Establishing brand identification, enabling narrative,… Read More »This AI Research Proposes a Fully Automated Solution for Consistent Character Generation with the Sole Input being a Text Prompt Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In the significantly advancing field of Artificial Intelligence (AI) and Machine Learning (ML), developing intelligent systems that smoothly align with human preferences is crucial. The development of Large Language Models (LLMs), which seek to imitate humans by generating content and answering questions like a… Read More »NVIDIA AI Research Releases HelpSteer: A Multiple Attribute Helpfulness Preference Dataset for STEERLM with 37k Samples Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Generative models, such as Generative Adversarial Networks (GANs), have the capacity to generate lifelike images of objects and dressed individuals after being trained on an extensive image collection. Although the resulting output is a 2D image, numerous applications necessitate diverse and high-quality virtual 3D… Read More »Learn How to Generate 3D Avatars from 2D Image Collections with this Novel AI Technique Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW Group – headquartered in Munich, Germany – is driven by 149,000 employees worldwide and manufactures in over 30 production and assembly facilities across 15 countries. Today, the… Read More »Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio Marc Neumann AWS Machine Learning Blog

​ In today’s ever-evolving world of ecommerce, the influence of a compelling product description cannot be overstated. It can be the decisive factor that turns a potential visitor into a paying customer or sends them clicking off to a competitor’s site. The manual creation of… Read More »Automating product description generation with Amazon Bedrock Dhaval Shah AWS Machine Learning Blog

​ Amazon SageMaker Canvas is a rich, no-code Machine Learning (ML) and Generative AI workspace that has allowed customers all over the world to more easily adopt ML technologies to solve old and new challenges thanks to its visual, no-code interface. It does so by… Read More »Optimizing costs for Amazon SageMaker Canvas with automatic shutdown of idle apps Davide Gallitelli AWS Machine Learning Blog

​ This post was co-written with Greg Benson, Chief Scientist; Aaron Kesler, Sr. Product Manager; and Rich Dill, Enterprise Solutions Architect from SnapLogic. Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. This… Read More »How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action Greg Benson AWS Machine Learning Blog

​ Potential energy surfaces (PESs) represent the relationship between the positions of atoms or molecules and their associated potential energy. PESs are essential in understanding molecular behavior, chemical reactions, and material properties. They describe how the potential energy of a system changes as the positions… Read More »This AI Paper Introduces a Groundbreaking Machine Learning Model for Efficient Hydrogen Combustion Prediction: Leveraging ‘Negative Design’ and Metadynamics in Reactive Chemistry Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ LLM models have been increasingly deployed as potent linguistic agents capable of performing various programming-related activities. Despite these impressive advances, a sizable chasm still separates the capabilities demonstrated by these models in static experimental settings from the ever-changing demands of actual programming scenarios. Standard… Read More »This AI Paper Proposes ML-BENCH: A Novel Artificial Intelligence Approach Developed to Assess the Effectiveness of LLMs in Leveraging Existing Functions in Open-Source Libraries Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost