Genetic algorithms and the recombination problem Discussions around AI creativity often focus on neural networks, which ...

In the digital era and moving towards quantum computing, protecting data against hack attacks is one of our biggest challenges—and one that experts, governments, and industries worldwide work hard to ...

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

Mathematicians at the Center for Advanced Mathematics for Energy Research Applications (CAMERA) at Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a mathematical algorithm to ...

A collaborative research project has proposed a new way of studying elective surgery waits with a mathematical algorithm that has the potential to significantly transform the management of surgical ...

Algorithms are increasingly prevalent in everything we do, from getting insurance to applying to jobs (if the algorithm doesn't pick your application from a big pile, good luck). While it may seem ...

LLMs and classical optimization have been treated as separate tools. The teams pulling ahead use them together.

For a long time, mathematical modelling of social systems and dynamics was considered in the realm of science fiction. But predicting, and at once influencing human behavior is well on its way to ...

Late last year, the Justice Department joined the growing list of agencies to discover that algorithms don’t heed good intentions. An algorithm known as PATTERN placed tens of thousands of federal ...

For the delivery portion of the overall streaming equation, CDNs use refined content caching and content replication, optimized network paths—including ingress, egress, and midgress data transport—and ...