Artificial Intelligence News and Research

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Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction.

Tech Meets Nature: AI-Powered Sensors Revolutionize UK Biodiversity Monitoring in Farming

Scientists are using automated wildlife sensors and artificial intelligence (AI) over the next four years to demonstrate the effectiveness of agri-environment and peatland restoration schemes in improving biodiversity.

20 Jul 2023

Public Pulse: Lero Survey Seeks Citizen Input on AI Ethics Amid Rising Bias Concerns

"Lero's new public survey aims to uncover citizens' hopes and fears about AI and software, focusing on issues of responsibility and ethics. This project seeks to address the underrepresentation of public sentiment in ongoing debates, amidst rising concerns over biases in AI and potential human rights abuses."

19 Jul 2023

AI in Drug Discovery: Insilico Experts Unpack Validity and Novelty of AI-Generated Molecular Structures

The study in the ACS journal Medicinal Chemistry Letters offers an in-depth analysis of AI and ML methods used in generative chemistry to create synthetically feasible molecular structures. The authors recommend rigorous evaluation, experimental validation, and adherence to strict guidelines to enhance the role of AI in drug discovery and ensure the novelty and validity of AI-generated molecules.

19 Jul 2023

GeoAI Challenge Workshop: A Modern-day Moonshot for a Trillion-Pixel View of Earth

Technology experts convened at Oak Ridge National Laboratory's Department of Energy for the Trillion-Pixel GeoAI Challenge workshop to discuss the future of geospatial systems. The event emphasized advancements in artificial intelligence, cloud infrastructure, high-performance computing, and remote sensing, highlighting their potential in addressing national and human security concerns like disaster response and land-use planning.

19 Jul 2023

CEPI and Houston Methodist Research Institute Partner to Develop AI-Driven Vaccines for Future Viral Threats

The Coalition for Epidemic Preparedness Innovations (CEPI) and the Houston Methodist Research Institute (HMRI) are partnering to use artificial intelligence (AI) in developing faster vaccines against future viral threats. They aim to achieve this through a $4.98 million project using AI to identify viral structures for potential vaccine candidates, contributing to a global 'Vaccine Library' for a rapid response to emerging diseases, with the overarching goal of compressing vaccine development to within 100 days of a pathogen's identification.

19 Jul 2023

HyperDreamBooth: Lightning-Fast Personalized Image Generation with AI

Researchers introduce HyperDreamBooth, a hypernetwork-based solution for rapid and efficient personalized image generation from a single person's image. With smaller size and faster processing compared to previous methods, HyperDreamBooth maintains high-quality results and diverse styles, making it an innovative tool for creative applications.

18 Jul 2023

Enhancing Safety in Human-Robot Collaboration: DL-Enhanced Digital Twin Framework for Manufacturing

Researchers propose an intelligent Digital Twin framework enhanced with deep learning to detect and classify human operators and robots in human-robot collaborative manufacturing. The framework improves reliability and safety by enabling autonomous decision-making and maintaining a safe distance between humans and robots, offering a promising solution for advanced manufacturing systems.

18 Jul 2023

Revolutionizing Smart Transportation: Enhancing Incident Detection and Traffic Management with Hybrid Deep Learning

Researchers propose the Hybrid Deep Learning-based Automated Incident Detection and Management (HDL-AIDM) system, utilizing intelligent algorithms and deep learning techniques to enhance incident detection accuracy and optimize traffic management in smart transportation systems. The system combines the power of deep learning with data augmentation using Generative Adversarial Networks (GANs) and introduces an intelligent traffic management algorithm that dynamically adjusts traffic flow based on real-time incident detection data.

14 Jul 2023

Unleashing the Power of High-Frequency Financial Data: A Novel Methodology for AI-Driven Intraday Trend Forecasting

Researchers propose a groundbreaking feature engineering methodology for high-frequency financial data analysis, enabling the extraction and forecasting of intraday trends using artificial intelligence models. The approach utilizes time series segmentation and extreme gradient boosting for multiclass classification, focusing on volatility, duration, and direction.

14 Jul 2023

Unveiling Housing Price Dynamics: XGBoost and SHAP Models Shed Light on Neighborhood Effects

Researchers employ XGBoost and SHAP models to uncover the nonlinear relationships between neighborhood characteristics and housing prices in Shanghai. The study provides valuable insights into the importance of public and private amenities, street views, and location in determining housing values, revolutionizing real estate market research and urban planning.

13 Jul 2023

Precision Agriculture: Automated Grading and Sorting of Carrots Using Computer Vision

A groundbreaking study presents a framework that leverages computer vision and artificial intelligence to automate the inspection process in the food industry, specifically for grading and sorting carrots. By incorporating RGB and depth information from a depth sensor, the system accurately identifies the geometric properties of carrots in real-time, revolutionizing traditional grading methods.

12 Jul 2023

Revolutionizing Artificial Neural Networks: Self-Powered In-Sensor ANNs with Molecular Ferroelectric Photomemristors

Researchers have achieved a breakthrough in the development of artificial neural networks (ANNs) by implementing self-powered in-sensor ANNs using molecular ferroelectric (MF)-based photomemristor arrays. These innovative devices enable real-time optical signal recognition and acquisition while minimizing power consumption.

12 Jul 2023

Smart Seas: Revolutionizing Aquaculture with AIoT and Digital Twin-Based Intelligent Fish Farming

The integration of AIoT and digital twin technology in aquaculture holds the key to revolutionizing fish farming. By combining real-time data collection, cloud computing, and AI functionalities, intelligent fish farming systems enable remote monitoring, precise fish health assessment, optimized feeding strategies, and enhanced productivity. This integration presents significant implications for the industry, paving the way for sustainable practices and improved food security.

11 Jul 2023

ChatGPT vs. Google Search: Unveiling User Experience and Search Performance

A comparative analysis was conducted to evaluate user behavior and performance when using ChatGPT and Google Search for information-seeking tasks. The study found that ChatGPT users exhibited reduced task completion time compared to Google Search users, without significant differences in overall task performance. While ChatGPT offered a more user-friendly and spontaneous experience, Google Search provided quicker responses and more reliable outcomes.

11 Jul 2023

The Future of Large Language Models in Healthcare: Balancing Potential Benefits and Risks

This article discusses the need for regulatory oversight of large language models (LLMs)/generative artificial intelligence (AI) in healthcare. LLMs can be implemented in healthcare settings to summarize research papers, obtain insurance pre-authorization, and facilitate clinical documentation. LLMs can also improve research equity and scientific writing, improve personalized learning in medical education, streamline the healthcare workflow, work as a chatbot to answer patient queries and address their concerns, and assist physicians to diagnose conditions based on laboratory results and medical records.

11 Jul 2023

Powering Superconductivity with AI: Unlocking Potential and Overcoming Challenges

This article reviews the transformative impact of artificial intelligence (AI) techniques such as deep learning and machine learning in the field of superconductivity. From condition monitoring and design optimization to intelligent modeling and estimation, AI offers innovative solutions to overcome challenges, accelerate commercialization, and unlock new opportunities in the realm of superconducting technologies and materials.

10 Jul 2023

Navigating the Ethical Frontier: Regulating Large Language Models in Healthcare

This article delves into the legal and ethical complexities surrounding the integration of large language models (LLMs) like ChatGPT and Bard in medical practice. Examining aspects such as privacy, device regulation, competition, intellectual property, cybersecurity, and liability, the paper highlights the need for robust regulatory frameworks to guide the responsible use of LLMs while promoting patient well-being, privacy protection, and a competitive healthcare landscape.

10 Jul 2023

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

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

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

Artificial Intelligence News and Research

Tech Meets Nature: AI-Powered Sensors Revolutionize UK Biodiversity Monitoring in Farming

Public Pulse: Lero Survey Seeks Citizen Input on AI Ethics Amid Rising Bias Concerns

AI in Drug Discovery: Insilico Experts Unpack Validity and Novelty of AI-Generated Molecular Structures

GeoAI Challenge Workshop: A Modern-day Moonshot for a Trillion-Pixel View of Earth

CEPI and Houston Methodist Research Institute Partner to Develop AI-Driven Vaccines for Future Viral Threats

HyperDreamBooth: Lightning-Fast Personalized Image Generation with AI

Enhancing Safety in Human-Robot Collaboration: DL-Enhanced Digital Twin Framework for Manufacturing

Revolutionizing Smart Transportation: Enhancing Incident Detection and Traffic Management with Hybrid Deep Learning

Unleashing the Power of High-Frequency Financial Data: A Novel Methodology for AI-Driven Intraday Trend Forecasting

Unveiling Housing Price Dynamics: XGBoost and SHAP Models Shed Light on Neighborhood Effects

Precision Agriculture: Automated Grading and Sorting of Carrots Using Computer Vision

Revolutionizing Artificial Neural Networks: Self-Powered In-Sensor ANNs with Molecular Ferroelectric Photomemristors

Smart Seas: Revolutionizing Aquaculture with AIoT and Digital Twin-Based Intelligent Fish Farming

ChatGPT vs. Google Search: Unveiling User Experience and Search Performance

The Future of Large Language Models in Healthcare: Balancing Potential Benefits and Risks

Powering Superconductivity with AI: Unlocking Potential and Overcoming Challenges

Navigating the Ethical Frontier: Regulating Large Language Models in Healthcare

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

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

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

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