Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.

Datacurve's new DeepSWE benchmark puts GPT-5.5 ahead of Claude and challenges older AI coding rankings by arguing verifier design can distort results.

Gray Swan works with every major frontier AI lab. Now it’s raised $40 million as it expands to sell security tools to ...

DeepSWE, created by DataCurve offers a benchmark for assessing AI coding models by focusing on real-world programming challenges rather than synthetic test cases. According to Matthew Berman, one of ...

Thanks to new technologies like artificial intelligence, scientists are increasingly freed from the constraints of the laboratory. It raises questions about how much humans should outsource to robots.

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Overview DevOps demand is rising driven by cloud adoption, automation, and continuous delivery pipelines across startups, ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Solidity remains the dominant smart contract language for Ethereum and EVM-compatible chains, with the 2025 developer survey collecting responses from developers across eighty-seven different ...

End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL ...

It should be a tough time to be a software engineer: Coding is a favorite early artificial-intelligence use case and layoffs are spreading through the tech industry. But job postings in the ...

Abstract: This letter proposes a novel Data-Driven (DD) method for controlling unknown input-affine nonlinear systems. First, we estimate the system dynamics from noisy data offline through Subspace ...