Commuters jumped in fright as a snake slithered across a city train platform in Australia, proving nowhere is safe from the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: Offline reinforcement learning (RL) learns policies from fixed-size datasets without interacting with the environment, while multi-agent reinforcement learning (MARL) faces challenges from ...

Travel misery was set to continue Sunday as a powerful snowstorm blasted southern US states, bringing subzero temperatures to ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

摘要: Depression is a clinically heterogeneous disorder comprising subtypes such as melancholic, atypical, anxious, and unspecified, each characterized by distinct symptom profiles and treatment ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was elegant; the reality proved far more complex. Within a device, molecules ...