In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install ...

Melbourne startup Cortical Labs uses 200,000 human brain cells in a petri dish to play Doom by translating game data into ...

JavaOne Oracle has shipped Java 26, a short-term release, and introduced Project Detroit, which promises faster interop between Java, JavaScript, and Python. Java 26 will be supported for just six ...

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and industry.Guides beginners and professi ...

Overview Data science books help beginners clearly understand analytics, algorithms, and real-world industry applications.The ...

Data analyst Michelle Le shares the biggest lessons she's learned about perserverance from taking on a temporary gig after being laid off.

Alexander Armstrong, Lucy Beaumont, Bradley Walsh … when will commissioners stop sending standups to other nations? It’s not like they have any insight or connection to these places – it has to end ...

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

The automotive giant has made Snowflake the core of its organization-wide data mesh and is now exploring agentic technologies.

Nvidia’s GTC 2026 reveals trillion-dollar AI demand, Vera Rubin chips, and the rise of agent-based computing reshaping enterprise IT.

Jensen Huang’s GTC 2026 keynote wasn’t just about new chips. It showed Nvidia pushing to own the economics of inference, agentic AI, and the infrastructure beneath the next industrial wave.