This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

UC Berkeley Computer Science Professor Sarah Chasins joins WIRED to answer the internet's burning questions about coding. How ...

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

CJC launches MDC service, Centreon secures Sixth Street investment, UK bond CT update, and more in this week’s news roundup.

The disaster that struck John Quackenbush and his lab at the Harvard T.H. Chan School of Public Health began when the Trump ...

Container image scanning has come a long way over the years, but it still comes with its own set of, often unique, challenges ...

The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

There's a popular thread on Reddit started by the user Slimer425 where people share their best stories of folks coming up with the most clever shortcuts to avoid hard work.

Repeatable training means training the AI over and over again in a way that you can do the exact same steps each time. This ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...