A team of Australian and international scientists has, for the first time, created a full picture of how errors unfold over time inside a quantum computer—a breakthrough that could help make future ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Scientists in China have developed a new chip, with a twist: it's analog, meaning it performs calculations on its own physical circuits rather than via the binary 1s and 0s of standard digital ...

What if the future of artificial intelligence is being held back not by a lack of computational power, but by a far more mundane problem: memory? While AI’s computational capabilities have skyrocketed ...

When inserting data from ClickHouse into S3 using PARTITION BY, memory usage increases significantly as the partition key granularity grows. -- PARTITION BY 1 key ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Struggling with ongoing sleep problems could do more than leave you groggy—it may accelerate memory decline and increase the risk of dementia. This is the warning of a study that found that older ...

When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...