EdResearch Australia Outlines AI Priorities for School Policymakers
EdResearch Australia published an explainer identifying three priorities for policymakers overseeing AI use in schools. The guidance focuses on clear policies, effective implementation, and stronger evidence.
The organization recommends evidence informed rules for decisions about AI use, access to quality AI tools, and building capability. It also calls for continued research, monitoring, and evaluation as evidence about the effects of AI in schools remains limited.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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