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. “While the novel neural-symbolic AI approaches developed by the SingularityNET AI team decrease the need for data, processing and energy somewhat relative to standard deep neural nets, we still need significant supercomputing facilities,” SingularityNET CEO Ben Goertzel explained to LiveScience in a recent written statement.
This lack of transparency can be problematic in industries that prioritize process and decision-making explainability (like healthcare and finance). Learning and data handling: Traditional programming is rigid; it relies on structured data to execute programs and typically struggles to process unstructured data.
The report also suggests that, by 2028, more than a quarter of all enterprise data breaches will be traced back to some kind of AI agent abuse, either from inside threats or external malicious actors. This requires a three-pronged approach: robust governance, continuouslearning, and a commitment to ethical AI development.
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