The tech giant says a breakthrough in data center networking has dramatically accelerated the flow of information through its massive cloud infrastructure. The new technology hinges on a “quasi-random ...
Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
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The translation trap: Why AI won’t solve the COBOL crisis
Although many banks are still running decades-old platforms, Claudio González argues that this is where AI can make a bigger ...
JAKARTA: A new mechanism to tighten state control over key commodity exports is Indonesia President Prabowo Subianto’s latest push to plug what he says are long-running revenue leakages costing the ...
The AI industry has started confusing consumption with intelligence. Quietly, token usage became a proxy for progress. That ...
Speaking in March this year, NVIDIA CEO Jensen Huang said, “about 90% of [the data] generated every single year is unstructured data. Until now, this data has been completely useless to the world.” If ...
Insects join list of species capable of solving simple ‘box-and-banana’ problem that demonstrates basic intelligence Bumblebees can use tools to solve a problem, according to experiments that ...
At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...
Effective democracies require modern data policies that direct the country’s ability to govern and hold legitimacy. Data policies offer information justice by providing formal guidelines and rules for ...
The math world is losing its mind over the new solution to an Erdős problem. This is what AI found, how we missed it—and why it matters.
See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. For a generation, America’s cartoon image of nuclear anxiety was Blinky ...
The closest the field has come to solving the planar unit distance problem, first proposed in the 1940s, was in 1984. Now, OpenAI claims an internal model has cracked the puzzle.
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