A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

David Reese believes that AI’s greatest impact will come from improving the thousands of human-led decisions. If Reese, the ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

The Men’s Final Four Analytics Challenge enables Hoosier undergraduate and graduate students to apply data science and ...

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

However, a decision taken by the company earlier in 2024 underlined how researchers in sectors like drug discovery see the importance of the tool by triggering the creation of multiple workalikes ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for tech jobs. Many people try to just grind through tons of problems, but ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Fitness has become a stream of data. But it was not always this way. Before wearables and algorithm driven training plans, progress in the gym was measured through something far less technical. Effort ...