As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
An individual may become completely paralyzed because of any number of accidents that interfere with the functioning of the ...
Qubika has been recognized by Constellation Research as one of its inaugural AI-First Consulting Firms and named among just eight companies worldwide to receive the top-tier "AI Exponential" ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...
Opinion
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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.
USD 3.06 billion; 2032 Projected Market Size: USD 5.79 billion; CAGR (2025–2032): 9.5%; Optical Sorter Market Tre ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...
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