Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

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 ...

The NFL is no stranger to innovation. Over the years, teams have adopted new strategies, technologies, and data-driven ...

How do you translate ancient Palmyrene script from a Roman tombstone? How many paired tendons are supported by a specific ...

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

New AI-powered enhancements to Leaptree Optimize help organisations analyse interactions, spot quality trends, and ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

Plainsight, the open developer platform for vision AI, today announced the general availability of the Plainsight Platform, the industry's first end-to-end VizOps solution built to simplify and scale ...

Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.

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 ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...