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Sky High Insights: Estimating Building Heights with DLIPHE Algorithm and Google Street View

Researchers propose DLIPHE, a novel algorithm that combines deep learning and image processing, to estimate building heights using static Google Street View images. The algorithm employs semantic segmentation and advanced techniques to identify buildings and extract their contours, enabling real-time and automatic height estimation for aerial devices. The study demonstrates promising results, highlighting the potential for DLIPHE to enhance communication paths for unmanned aerial vehicles (UAVs) and electric vertical take-off and landing aircraft (eVTOLs) in future urban networks.

10 Jul 2023

Unmasking Android Malware: A Comprehensive Review of Machine Learning Detection Techniques

Researchers present a thorough analysis of machine learning (ML) methods for detecting Android malware, highlighting the escalating threat to mobile device security. This review article explores the effectiveness of diverse ML algorithms, emphasizing the importance of dataset selection and evaluation metrics, while also identifying limitations and proposing avenues for future research in this critical domain.

10 Jul 2023

Cornell Launches $11.3M SciAI Center, Pioneering AI Approaches for Scientific Discovery with Mathematics as the Universal Language

Cornell University launches the Scientific Artificial Intelligence Center (SciAI Center), a new $11.3 million research center focused on human-AI collaboration using mathematics as a common language, aiming to develop AI approaches for scientific discovery and accelerate computational methods in materials, turbulence, and autonomy.

10 Jul 2023

Researchers Develop Breakthrough Machine Learning Method to Revolutionize Electronic Structure Simulations

Researchers from CASUS and Sandia National Laboratories have introduced Materials Learning Algorithms (MALA), a groundbreaking software stack that employs machine learning to simulate electronic structures of materials. MALA surpasses traditional methods, providing high fidelity and scalability across various length scales, opening doors to advancements in drug design, energy storage, and more.

10 Jul 2023

AI-Powered TIGER Predicts On- and Off-Target CRISPR Activity for RNA Editing, Paves Way for Precise Gene Therapies

Researchers from New York University, Columbia Engineering, and the New York Genome Center have developed an artificial intelligence model, called TIGER, that combines deep learning with CRISPR screens to predict the on- and off-target activity of RNA-targeting CRISPR tools.

10 Jul 2023

Revolutionizing Superconductivity: Harnessing AI, Machine Learning, Deep Learning, and Big Data

This groundbreaking study explores the transformative potential of artificial intelligence, machine learning, deep learning, and big data in revolutionizing the field of superconductivity. The integration of these cutting-edge technologies promises to enhance the development, production, operation, fault identification, and condition monitoring of superconducting devices and systems.

9 Jul 2023

AI-Powered Solutions: Transforming Food Waste into a Circular Economy

The integration of artificial intelligence (AI) is transforming the battle against food waste and propelling the transition towards a circular economy. By leveraging AI technologies, such as advanced analytics and machine learning, various applications are being developed to optimize food manufacturing, distribution networks, and waste management processes. These AI-driven solutions enhance decision-making, enable efficient resource utilization, and support recycling and upcycling initiatives.

9 Jul 2023

Revolutionizing Last-Mile Logistics: A Sustainable Approach Integrating Drones and Trucks

A groundbreaking mathematical model, the FSTSP-DR-MP, has been proposed to transform last-mile logistics into a more sustainable and efficient process. With the surge in online shopping and the subsequent rise in carbon emissions, this innovative approach integrates both delivery and return services using a combination of trucks and drones. The model optimizes routes, considering multiple payloads and customers, to minimize service time.

9 Jul 2023

Unraveling ChatGPT's Working Memory Capacity

Researchers investigate the working memory capacity of ChatGPT, a large language model, using n-back tasks. The study reveals consistent patterns of performance decline in ChatGPT as the information load increases, resembling human limitations. The findings contribute to understanding the cognitive abilities of language models, highlighting the potential of n-back tasks as a metric for evaluating working memory and overall intelligence in reasoning and problem-solving.

9 Jul 2023

Demystifying AI: A Comprehensive Overview of eXplainable AI (XAI) for Trustworthy Decision-Making

Demystifying AI: A comprehensive overview of eXplainable AI (XAI) provides a thorough analysis of current trends, research, and concerns in the field, shedding light on the inner workings of AI models for trustworthy decision-making. The review covers various aspects of XAI, including data explainability, model explainability, post-hoc explainability, assessment of explanations, and available XAI research software tools. It highlights the importance of understanding and validating AI systems to ensure transparency, fairness, and accountability in their deployment

9 Jul 2023

Unleashing the Power of AI: Exploring its Role in Physics Education and Embracing Human Expertise

By delving into the capabilities and limitations of AI language models like ChatGPT in physics education, this comprehensive overview emphasizes the need for a balanced approach that combines AI's potential with the indispensable role of human educators. The article highlights effective assessment strategies, ethical considerations, and the importance of preparing students for an AI-driven future while nurturing critical thinking and problem-solving skills.

9 Jul 2023

Harmonizing Education: Unleashing the Potential of Artificial Intelligence in Music Learning

Researchers delve into the intersection of artificial intelligence (AI) and music education, showcasing how AI-driven technologies such as intelligent instruments, music software, and online teaching platforms have revolutionized the learning experience. With the ability to personalize instruction, enhance collaboration, and support students with disabilities, AI in music education holds immense promise for the future of music learning and teaching.

9 Jul 2023

Unlocking Secure Homes: Blockchain and Machine Learning Revolutionize Smart Home Networks

Researchers propose a groundbreaking solution in the form of a blockchain layer and an enhanced Dragonfly algorithm to fortify smart home networks. This innovative approach ensures reliable user authentication, safeguards data privacy, and optimizes communication while paving the way for further advancements such as 5G integration and edge computing, promising secure and efficient smart homes of the future.

9 Jul 2023

Crystal Clear: Nagoya University Team Harnesses AI to Predict Crystal Orientation

A rapid and accurate technique using machine learning and optical images was developed to measure crystallographic orientations in multicrystalline materials, providing precise results with reduced error. This approach significantly improves efficiency compared to traditional methods, enabling comprehensive data collection for crystal growth analysis and material fabrication processes.

7 Jul 2023

Scientists Develop 3D Neuromorphic Network to Bridge Gap Between Human Brain and AI

In this study, 3D conductive polymer networks are developed to mimic the brain's neural connections. These networks offer potential for enhanced neuromorphic wetware, paving the way for future advancements in information processing technologies.

7 Jul 2023

Cyber-CARE Takes the Wheel: University of Houston Leads New Center to Safeguard Transportation Infrastructure from Cyberattacks

A new research center led by the University of Houston is helping prevent potential cyberattacks that could threaten to impede the safe and efficient movement of people and goods in the United States and throughout the world.

7 Jul 2023

Heartwarming Breakthrough: Scientists Use AI to Pinpoint Valvular Heart Disease with Unprecedented Accuracy

A new deep-learning model is developed and validated to assess cardiac function and detect valvular disease using chest radiographs from multiple institutions. This research aims to enhance the understanding of the potential of chest X-rays in evaluating cardiovascular health.

7 Jul 2023

AI Gets Chatty in the Kitchen: Georgia Tech's ChattyChef Uses Natural Language Processing to Help Users Cook

Artificial intelligence (AI) can help people shop, plan, and write -; but not cook. It turns out humans aren't the only ones who have a hard time following step-by-step recipes in the correct order, but new research from the Georgia Institute of Technology's College of Computing could change that.

7 Jul 2023

Revolutionizing Quantum Machine Learning: Unlocking Unknown Unitaries with Breakthrough Training Approach

Learning unknown unitaries in Quantum Machine Learning (QML) is achieved through training with product states, enabling the understanding of unitary actions on entangled states. This breakthrough has implications for quantum dynamics learning and circuit compilation on near term quantum hardware.

7 Jul 2023

Unleashing the Power of Text Mining: Identifying AI Technologies for the Korean Semiconductor Industry

The study demonstrates the use of text mining to identify emerging ML/AI technologies in the Korean semiconductor industry, enabling SMEs to establish an R&D roadmap and enhance competitiveness. Deep neural networks and AI technology applications in semiconductor R&D and manufacturing processes were found to be crucial, with potential for improved reasoning, learning abilities, and process optimization.

6 Jul 2023

AI Research News

Sky High Insights: Estimating Building Heights with DLIPHE Algorithm and Google Street View

Unmasking Android Malware: A Comprehensive Review of Machine Learning Detection Techniques

Cornell Launches $11.3M SciAI Center, Pioneering AI Approaches for Scientific Discovery with Mathematics as the Universal Language

Researchers Develop Breakthrough Machine Learning Method to Revolutionize Electronic Structure Simulations

AI-Powered TIGER Predicts On- and Off-Target CRISPR Activity for RNA Editing, Paves Way for Precise Gene Therapies

Revolutionizing Superconductivity: Harnessing AI, Machine Learning, Deep Learning, and Big Data

AI-Powered Solutions: Transforming Food Waste into a Circular Economy

Revolutionizing Last-Mile Logistics: A Sustainable Approach Integrating Drones and Trucks

Unraveling ChatGPT's Working Memory Capacity

Demystifying AI: A Comprehensive Overview of eXplainable AI (XAI) for Trustworthy Decision-Making

Unleashing the Power of AI: Exploring its Role in Physics Education and Embracing Human Expertise

Harmonizing Education: Unleashing the Potential of Artificial Intelligence in Music Learning

Unlocking Secure Homes: Blockchain and Machine Learning Revolutionize Smart Home Networks

Crystal Clear: Nagoya University Team Harnesses AI to Predict Crystal Orientation

Scientists Develop 3D Neuromorphic Network to Bridge Gap Between Human Brain and AI

Cyber-CARE Takes the Wheel: University of Houston Leads New Center to Safeguard Transportation Infrastructure from Cyberattacks

Heartwarming Breakthrough: Scientists Use AI to Pinpoint Valvular Heart Disease with Unprecedented Accuracy

AI Gets Chatty in the Kitchen: Georgia Tech's ChattyChef Uses Natural Language Processing to Help Users Cook

Revolutionizing Quantum Machine Learning: Unlocking Unknown Unitaries with Breakthrough Training Approach

Unleashing the Power of Text Mining: Identifying AI Technologies for the Korean Semiconductor Industry

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