Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Google’s agentic AI development environment includes multiple agent models and browser automation with Chrome.

You can prompt an AI model with a line of text, and it will generate most of the code needed to build an app, tool or website ...

TypeScript 7.0, which implements the language service and compiler in Go, promises to improve performance, memory usage, and ...

Introducing Agent Development Through Natural Language Airia's new natural language agent building capability introduces a three-step process that improves AI agent creation: Describe & Plan: Users ...

Water Saci and RelayNFC drive advanced Brazil-targeted attacks using WhatsApp worm tactics and real-time NFC payment theft.

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

Explainable AI agents can now troubleshoot Kubernetes using governed tools, observability, and human approval, making ...

DeNAは12月5日、社内で実施した大規模言語モデル（LLM）勉強会の資料とソースコードを、 エンジニアブログ や GitHub を通じて公開した。 講義のスライド ...

Learn faster with a five-step AI learning framework. Use Perplexity and Notebook LM for resources, priming, and save up to 20 ...

Think your Wi-Fi is safe? Your coding tools? Or even your favorite financial apps? This week proves again how hackers, ...

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