Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...
The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...
Are Organizations Prepared for the Challenges of Non-Human Identities? Understanding Non-Human Identities in Cybersecurity How do organizations safeguard their machine identities? One emerging focus ...
To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...
What Are Non-Human Identities and Why Do They Matter in Complex Enterprise Environments? Where digital transformation accelerates work processes, the concept of Non-Human Identities (NHIs) becomes ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
Researchers have identified cancer-specific RNAs and employed machine learning models to use them as a blood-based biomarker ...
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Learning from the global AI race: Why we must lead on AI governance in Africa
By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act decisively today will shape the direction of global innovation for decades to come.
With already thin profit margins and increasingly uncertain farm labor and other input costs, precision agriculture ...
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