A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
Why Are Non-Human Identities Crucial for Cloud Security? Does your organization fully understand the importance of Non-Human Identities (NHIs) in cybersecurity? With a crucial component of cloud ...
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" ...
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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.
Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...
CM Stalin says he is ‘facing a crisis’ his predecessors didn't witness; criticises Governor Ravi for not reading speech in ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Ambarella is poised to benefit from edge AI demand as CV7 SoC and DevZone boost stickiness. Read why AMBA stock is a Strong ...
According to MarketsandMarkets™, the Optical Sorter Market is projected to grow from USD 3.06 billion in 2025 to USD 5.79 ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.