​ Inorganic crystals are essential to many contemporary technologies, including computer chips, batteries, and solar panels. Every new, stable crystal results from months of meticulous experimentation, and stable crystals are essential for enabling new technologies since they do not dissolve. Researchers have engaged in costly,… Read More »Google DeepMind Introduces GNoME: A New Deep Learning Tool that Dramatically Increases the Speed and Efficiency of Discovery by Predicting the Stability of New Materials Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which is presently not achievable. It can be challenging to accurately modify continuous qualities, such as an individual’s age or the… Read More »This AI Paper from Northeastern University and MIT Develop Interpretable Concept Sliders for Enhanced Image Generation Control in Diffusion Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Could you drag and drop them into your project management workflow instead of manually updating and independently managing each Postgres extension? How awesome would that be? Well, that wish has come true with the introduction of PGXMAN. Envision a world that only takes a… Read More »Meet PGXMAN : The PostgreSQL Extension Manager Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ GPTs stand out in artificial intelligence regarding NLP tasks. Nevertheless, pipelines built and deployed using GPT can be lengthy and intricate. The role of RAGs is to be seen here. RAGs is an app developed by Streamlit that streamlines the process of creating and… Read More »Meet RAGs: A Streamlit App that Lets You Create a RAG Pipeline from a Data Source Using Natural Language Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ The research conducted by Shanghai Jiao Tong University, Amazon Web Services, and Yale University addresses the problem of understanding the foundational mechanics and justifying the efficacy of Chain-of-Thought (CoT) techniques in language agents. The study emphasizes the significance of CoT reasoning in LLMs and… Read More »Unveiling the Power of Chain-of-Thought Reasoning in Language Models: A Comprehensive Survey on Cognitive Abilities, Interpretability, and Autonomous Language Agents Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Fine-grained image classification is a computer vision task aiming to classify images into subcategories within a larger category. It involves the intricate identification of specific, often rare animals. Yet, they grapple with a need for more extensive training data, leading classifiers to struggle with… Read More »UC Berkeley Researchers Develop ALIA: A Breakthrough in Automated Language-Guided Image Augmentation for Fine-Grained Classification Tasks Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types of light. However, connecting this data from different… Read More »This Paper from Johns Hopkins Highlights Data Science’s Role in Accelerating Probabilistic Catalog Matching for Space Discoveries Across Time and Telescopes Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based on triangle meshes, which stand in for the… Read More »Can We Map Large-Scale Scenes in Real-Time without GPU Acceleration? This AI Paper Introduces ‘ImMesh’ for Advanced LiDAR-Based Localization and Meshing Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Researchers from Google Research and UIUC propose ZipLoRA, which addresses the issue of limited control over personalized creations in text-to-image diffusion models by introducing a new method that merges independently trained style and subject Linearly Recurrent Attentions (LoRAs). It allows for greater control and… Read More »Researchers from Google and UIUC Propose ZipLoRA: A Novel Artificial Intelligence Method for Seamlessly Merging Independently Trained Style and Subject LoRAs Sana Hassan Artificial Intelligence Category – MarkTechPost

​ The soaring capabilities of language models in real-world applications are often hindered by the intricate challenges associated with their large-scale training using conventional methods like standard backpropagation. Google DeepMind’s latest breakthrough, DiLoCo (Distributed Low-Communication), sets a new precedent in language model optimization. In the… Read More »Google DeepMind Researchers Introduce DiLoCo: A Novel Distributed, Low-Communication Machine Learning Algorithm for Effective and Resilient Large Language Model Training Niharika Singh Artificial Intelligence Category – MarkTechPost