Yet behind the optimism lies an uncomfortable truth: modern AI is expanding an energy footprint that was already too large.
A poll of data leaders has found that many anticipate using multiple providers to help them achieve their 2026 data ...
AI "model collapse," where LLMs over time train on more and more AI-generated data and become degraded, can introduce a host ...
The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...
Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...
The use of AI in pharmaceutical development is becoming widespread, but the rulebook is still being written.McKinsey reports that 71% of businesses across various industries now use generative AI, ...
Generative AI has rightly seized the attention of business executives. From writing code to generating art to summarizing technical documents in seconds, genera ...
A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...
Nigeria's TVET sector, led by NBTE and YABATECH, calls for a shift to data-driven education policies using digital platforms ...
India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...
The problems are too complex to tackle alone: In a recent smart city project, for example, the following participated: the ...
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