​ The realm of healthcare has been revolutionized by the advent of wearable sensor technology, which continuously monitors vital physiological data such as heart rate variability, sleep patterns, and physical activity. This advancement has paved the way for a novel intersection with large language models… Read More »MIT and Google Researchers Propose Health-LLM: A Groundbreaking Artificial Intelligence Framework Designed to Adapt LLMs for Health Prediction Tasks Using Data from Wearable Sensor Sana Hassan Artificial Intelligence Category – MarkTechPost

​ In the challenging fight against illegal poaching and human trafficking, researchers from Washington University in St. Louis’s McKelvey School of Engineering have devised a smart solution to enhance geospatial exploration. The problem at hand is how to efficiently search large areas to find and… Read More »Researchers from Washington University in St. Louis Propose Visual Active Search (VAS): An Artificial Intelligence Framework for Geospatial Exploration  Niharika Singh Artificial Intelligence Category – MarkTechPost

​ There are two major challenges in visual representation learning: the computational inefficiency of Vision Transformers (ViTs) and the limited capacity of Convolutional Neural Networks (CNNs) to capture global contextual information. ViTs suffer from quadratic computational complexity while excelling in fitting capabilities and international receptive… Read More »Meet VMamba: An Alternative to Convolutional Neural Networks CNNs and Vision Transformers for Enhanced Computational Efficiency Nikhil Artificial Intelligence Category – MarkTechPost

​ Mathematical reasoning, part of our advanced thinking, reveals the complexities of human intelligence. It involves logical thinking and specialized knowledge, not just in words but also in pictures, crucial for understanding abilities. This has practical uses in AI. However, current AI datasets often focus… Read More »Researchers from UCLA, University of Washington, and Microsoft Introduce MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4v, BARD, and Other Large Multimodal Models Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ Language modeling, a critical component of natural language processing, involves the development of models to process and generate human language. This field has seen transformative advancements with the advent of large language models (LLMs). The primary challenge lies in efficiently optimizing these models. Distributed… Read More »This Machine Learning Paper from DeepMind Presents a Thorough Examination of Asynchronous Local-SGD in Language Modeling Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Model Predictive Control (MPC) has become a key technology in a number of fields, including power systems, robotics, transportation, and process control. Sampling-based MPC has shown effectiveness in applications such as path planning and control, and it is useful as a subroutine in Model-Based… Read More »CMU Research Introduces CoVO-MPC (Covariance-Optimal MPC): A Novel Sampling-based MPC Algorithm that Optimizes the Convergence Rate Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Future models must receive superior feedback for effective training signals to advance the development of superhuman agents. Current methods often derive reward models from human preferences, but human performance limitations constrain this process. Relying on fixed reward models impedes the ability to enhance learning… Read More »This AI Paper from Meta and NYU Introduces Self-Rewarding Language Models that are Capable of Self-Alignment via Judging and Training on their Own Generations Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​ In a remarkable breakthrough, researchers from Google, Carnegie Mellon University, and Bosch Center for AI have a pioneering method for enhancing the adversarial robustness of deep learning models, showcasing significant advancements and practical implications. To set a headstart, the key takeaways from this research… Read More »Researchers from CMU, Bosch, and Google Unite to Transform AI Security: Simplifying Adversarial Robustness in a Groundbreaking Achievement Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Artificial Intelligence (AI) and Machine Learning (ML) have grown significantly over the past decade or so, making remarkable progress in almost every field. Be it natural language, mathematical reasoning, or even pharmaceuticals, in today’s age, ML is the driving factor behind innovative solutions in… Read More »Meet PythiaCHEM: A Machine Learning Toolkit Designed to Develop Data-Driven Predictive Models for Chemistry Asif Razzaq Artificial Intelligence Category – MarkTechPost