Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

The rapid growth of smart cultural tourism necessitates intelligent path planning solutions that harmonize diverse stakeholder interests, including tourist satisfaction, attraction utilization, and ...

Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful. Numerous existing models focus on ...

Google is offering free AI courses that can help professionals and students to upskill themselves. From introduction into LLMs to generative AI, these courses equip learners with skills needed to ...

Reaction representation learning is of paramount importance for adopting deep-learning-based chemistry modeling to solve real-world tasks such as synthesis planning. Most prevailing models are ...

In this paper, a new deep learning framework named encoding convolution long short-term memory (encoding ConvLSTM) is proposed to build a surrogate structural model with spatiotemporal evolution of ...

Alan Cheng, high school superintendent for New York City Public Schools, leads a portfolio of 50 innovative schools—including those in the Internationals Network for Public Schools, the New York ...