MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Abstract: State-of-charge (SoC) balancing in distributed energy storage systems (DESS) is crucial but challenging. Traditional deep reinforcement learning approaches struggle with real-world ...

Researchers have developed DBAL-YOLO, a novel deep learning-based framework that automatically converts non-digital engineering drawings into 3D Building Information Models (BIM). Achieving 98.8% ...

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting malicious code inside ML models lacking, expect the technique to spread.

Python’s strength lies in its English-like syntax, the nimble MicroPython, and an extensive library of modules. It’s a great tool for prototyping, developing, and operating various IoT devices. IoT, ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...

Why is Python so important to data science today? Its simplicity, versatility, and robust support system have made it almost indispensable for data scientists, with Python now appearing as a ...