(CNW) Ecopia AI and Nearmap Launch Off-the-Shelf Advanced Transportation Feature Data Across North America

High-precision transportation intelligence, powered by Nearmap high-recency aerial imagery and Ecopia's AI feature extraction, delivers decision-ready geospatial context at scale SALT LAKE CITY, Jan.
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
IEEE

Task-specific Prompt and Multi-level Linguistic Feature Enhancement for Aspect Sentiment Triple Extraction

Abstract: Aspect sentiment triple extraction (ASTE) task is an important and practically valuable subtask in sentiment analysis, aimed at predicting the sentiment polarity according to extract ...
9to5Mac

AirPods Pro 3 have a powerful new health feature, here’s how to use it

AirPods Pro 3 are a fantastic upgrade over their already-strong predecessor, and one underrated advantage of the new model is a powerful health feature: heart rate sensing. Here’s how to use it. Heart ...
IEEE

Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification

Abstract: Soybean plants are highly susceptible to various diseases, impacting crop yield and quality. Accurate and early detection of these diseases is essential for effective management and ...
SlashGear

5 Car Features Almost No One Actually Uses

Automotive technology has considerably evolved over the past few decades. Odds are, if you step into a car dealership's showroom floor, you'd hear the sales rep rattle off more features than you can ...
Frontiers

1D-CNN for non-cooperative rotational Doppler signal extraction

The discovery of the rotational Doppler effect (RDE) has opened new opportunities for detecting parameters of rotating targets. In recent years, the physical mechanisms underlying this effect have ...
IEEE

Classification of Herbal Leaves Using SVM and CNN with GMI and HSV Feature Extraction

Abstract: Herbal plants have numerous medicinal benefits and are used to treat various diseases. However, the morphological similarity of certain herbal leaves poses challenges in their identification ...
IEEE

Emotion-Aware Multi-Modal Feature Extraction using CNN-Bi-LSTM with Dynamic Emotional Salience

Abstract: Emotion-aware sentiment analysis has gained significant attention in recent years due to its applications in social media monitoring, mental health assessment, and customer feedback analysis ...
IEEE

A Hybrid Approach Using CNN Feature Extraction and SVM/XGBoost for Lung Nodule Classification

Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...
Bleeping Computer

Brave browser starts testing agentic AI mode for automated tasks

Brave has introduced a new AI browsing feature that leverages Leo, its privacy-respecting AI assistant, to perform automated tasks for the user. Intended to assist with tasks such as autonomous web ...