Changing AI Math Could Slash Hardware Requirements, Researchers Show
New research demonstrates that reformulating the mathematics underlying AI models could significantly reduce memory and storage demands on AI hardware.
New research demonstrates that reformulating the mathematics underlying AI models could significantly reduce memory and storage demands on AI hardware.
Researchers exploited role-model prompt injection to bypass LLM safety guardrails and extract harmful content including drug synthesis instructions.
The Register explains the enterprise shift toward running AI applications closer to where data is generated and consumed.
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