Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting with Claude, see Roadmap for next steps). Publish: Use provided templates and guidelines to quickly ...

Xiaomi’s YU7 EV rapidly gains momentum, challenging Tesla’s Model Y dominance in China. Tesla sales in China fall year-to-date, highlighting mounting competitive market pressure. September’s ...

Abstract: In wastewater treatment processes (WWTPs), data and knowledge are employed to build an effective model for monitoring its operation. Unfortunately, they are difficult to be fused due to ...

Surya, an AI model developed by NASA and IBM, tries to find hidden patterns in solar data to detect solar flares and winds. NASA and IBM have released a new open-source machine learning model to help ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: Deep learning techniques have seen widespread application in seismic inversion, yet they face significant challenges when applied to fracture property inversion. The limited availability of ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

As transportation and tech companies became increasingly intertwined over the past 20 years, private sector and open source data has exploded, Jinhua Zhao, professor of cities and transportation at ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...