The reason enterprise AI remains stubbornly artisanal is not because models are too weak. It is not because context windows are too short, or agents need better prompts, or companies are resisting ...
On the first day of Microsoft Build 2026 in San Francisco, Microsoft announced the public preview of Azure HorizonDB, a fully managed PostgreSQL-compatible database rebuilt from the ground up for ...
The first proposed catalog of 'configuration smells' reveals widespread issues like context bloat, skill leakage, and ...
Effective prompts use four core elements. Start by assigning a role, then give background context, state a clear task with an ...
Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...
A senior U.S. official disclosed what the official said was the full text of the deal between the United States and Iran to ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martin Kleppmann, an associate professor at ...
Equinix is trading at ~24.6x forward P/AFFO, in line with its 7-year historical average of ~24.9x. Read why I rate EQIX stock ...
Image courtesy by QUE.com The annual Snowflake Summit in San Francisco recently concluded, leaving no doubt about the central ...
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Asynchronous AI cuts computing energy by orders of magnitude while learning continuously
As artificial intelligence systems grow larger and more powerful, their energy demands are rising dramatically. But recent research from the University of Massachusetts Amherst published in Nature ...
Abstract: The iceberg cubing problem is to compute the multidimensional group-by partitions that satisfy given aggregation constraints. Pruning unproductive computation for iceberg cubing when ...
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