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

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

TinyML / Edge AI, ESP32-CAM camera interfacing, Edge Impulse workflow, Image classification & object detection on ...

As organizations move from AI experimentation to enterprise delivery, Info-Tech LIVE 2026 in New Orleans, set for February 3 ...

Explores a six-level autonomy taxonomy for agentic AI, governance, and risk-aligned controls to safely deploy autonomous ...

FREE TO READ] The AI pioneer on stepping down from Meta, the limits of large language models — and the launch of his new ...

New Delhi: The University of Delhi (DU) Examination Branch has recorded its largest-ever examination exercise following the implementation of the National Education Policy (NEP). According to an ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...