Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.
Both machine learning and deep learning AI models show significant improvements over existing clinical criteria of food allergy diagnostics, according to new research being presented at the 2026 AAAAI ...
Innovations addressing some of the world’s most pressing challenges took centre stage at the Innovator Meet Tech Exhibition ...
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 ...
Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...
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, ...
Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...
The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
AI analysis of retinal images may enable cuffless blood pressure biometry with accuracy comparable to traditional arm cuff measurements.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results