China's state-owned defense giant Norinco in February unveiled a military vehicle capable of autonomously conducting ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Inaugural “Hong Kong Student Ambassador Programme for Chinese Medicine and Health Care” Graduation Ceremony Students Showcase Their Learning Outcomes HONG KONG SAR – Media OutReach Newswire – 26 ...

A research team has developed an advanced framework that combines unmanned aerial vehicle (UAV) phenotyping with ...

Indian Rocks Beach, Fla. — Rebuilding a home following a hurricane is far from enjoyable. But it is a choice thousands have made in Florida following Hurricanes Helene and Milton. In Pinellas County, ...

Using time-series data collected across two growing seasons, the study accurately reconstructed canopy growth trajectories and identified key ...

Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Paris Hilton opens up about her ADHD, which she considers her "superpower," in an interview with InStyle. The multi-hyphenate ...

Abstract: The time series classification problem is highly relevant in many important domains, such as industry, finance, and healthcare. It is a long-known problem that has been addressed by a ...

We are pleased to invite you to a series of webinars on artificial intelligence (AI) for medical physicists organized under IAEA Technical Cooperation Project RAS6109-Improving the Quality and Safety ...

This expectation has roots in a field whose history is marked by periods of euphoria when the success of a new technique is believed to be the key to human-like intelligence, only for this hope to be ...