Edge MLIR HLS framework.” Abstract “Driven by the increasing demand for low-latency and real-time processing, machine ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

A new technical paper titled “High-clockrate free-space optical in-memory computing” was published by researchers at UC Berkeley, USC,  and TU Berlin. Abstract “The ability to process and act on data ...

A New study suggests that blood pressure biometry may soon be possible without cuffs or physical contact, using AI to analyse ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...