When checking that solutions to certain problems are correct, it turns out, you can’t get around the inherent complexity of ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

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

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

What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...

Abstract: With the transformation of manufacturing towards intelligence and flexibility, the workshop scheduling problem, as a typical combinatorial optimization problem, is facing increasingly ...

Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Ben Gomes, Google's Chief Technologist for Learning and Sustainability, argues that while AI ...

After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can be only one big winner—if there is a winner at all. I’m standing in front ...