As they scramble to keep their systems online, AI companies are making things expensive for the rest of us. Large language ...

What’s the secret to prompting an AI to solve math problems that have left humans stumped? Tell it to believe in itself ...

This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...

This isn't going to end well, is it?

When Brown University economics professor Robert Serrano suspected that most of his students had used AI to cheat on a ...

Researchers have developed an AI-driven framework that improves genomic surveillance by identifying emerging virus variants ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Abstract: Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow problems. However, modern FPGA graph cut algorithm accelerators still need performance and memory ...